Publications (all)

2026 / 2025 / 2024 / 2023 / 2022 / 2021 / 2020 / 2019

(Also see outreach for talks, posters, or browse by project )

• Paper by: Moreno, R.S., Svendsen, L., Counillon, F.S. , Bilge, T.A., Nair, A., Bethke, I. (2026)

  Prediction skill of ENSO and ENSO teleconnections in NorCPM: A comparative analysis with C3S

  Weather and forecasting

• Paper by: Garcia-Espriu, A., González-Gambau, V., Olmedo, E., Sánchez-Urrea, M., González-Haro, C., Umbert, M., Andrés, E.D., Gabarró, C., Turiel, A., Guimbard, S., Bertino, L.P.V. , Raj, R.P., Catany, R., Sabia, R. (2026)

  ESA Arctic+ Salinity Product v4: Enhanced Retrievals Near the Ice-Edge

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

• Book-chapter by: Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2025)

  Domain-Adapted Embeddings Model Using Contrastive Learning for Drilling Text Data

  Springer Nature

• Conf-paper by: Alyaev, S. , Zhang, L., Daireaux, B., Chudoba, M., Wiktorski, T., Galuscakova, P. (2025)

  DDBot – AI for automatic population of DWIS semantical models

  DigiWells Anual Seminar

• Paper by: Djecta, H.E., Alyaev, S. , Fossum, K. , Bratvold, R.B., Sui, D. (2025)

  Geosteering Through the Lens of Decision Transformers: Toward Embodied Sequence Decision-Making

  Open Review

• PhD-thesis by: Nilsen, M.M. (2025)

  Optimization Methodology for Sustainable Reservoir Management

  Universitetet i Bergen

• Paper by: Chudoba, M., Wiktorski, T., Alyaev, S. (2025)

  Revisiting Structured Representation Use in LLM

  NIKT: Norsk IKT-konferanse for forskning og utdanning

• Paper by: Cheraghi, Y., Alyaev, S. , Bratvold, R.B., Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A. (2025)

  Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment

  Applied Computing and Geosciences

• PhD-thesis by: Muhammad, R.B., Bratvold, R.B., Alyaev, S. (2025)

  A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering

  Universitetet i Stavanger

• Conf-paper by: Wang, Y. (2025)

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  CoRea final meeting

• Paper by: Bertino, L.P.V. , Heimback, P., Blockley, E., Olason, E. (2025)

  Numerical models for monitoring and forecasting sea ice: a short description of present status

  State of the Planet (SP)

• Paper by: Amiri, B., Andersen, P.Ø., Ghaedi, M., Luo, X. (2025)

  Investigation of synergy between extended oil recovery and hydrogen storage in a producing field using the Norne reservoir model

  Gas Science and Engineering

• Paper by: Ouyang, M., Ye, W., Deng, D., Huang, X., Luo, X. (2025)

  Combining Envelope Inversion and Full Waveform Inversion for Velocity Model Building Using OBN Data

  Pure and Applied Geophysics (PAGEOPH)

• Paper by: Ye, W., Huang, X., Han, L., Wang, C., Luo, X. , Wang, N., Lei, Y., Xu, Y. (2025)

  Regularized Seismic Full Waveform Inversion Using Inverse Scattering Approach and Preconditioned L-BFGS Optimization

  IEEE Transactions on Geoscience and Remote Sensing

• Paper by: Oliver, D. , Sætrom, J., Skorstad, A., Saksvik, T., Kolbjørnsen, O. (2025)

  Robust multi-objective production optimization with CO2 emissions reduction

  Geoenergy Science and Engineering

• Paper by: Ambrus, A., Pacis, F.J.C., Alyaev, S. , Khosravanian, R., Kristiansen, T.G. (2025)

  Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

  Energies

• Paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2025)

  Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts

  SPE Journal

• Paper by: Zhang, L., Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2025)

  Cloud-free question answering from internal knowledge bases: Building an AI for drilling applications

  First Break

• Paper by: Muhammad, R.B., Alyaev, S. , Bratvold, R.B. (2025)

  Optimal sequential decision-making in geosteering: A reinforcement learning approach

  Geoenergy Science and Engineering

• Paper by: Muhammad, R.B., Srivastava, A., Alyaev, S. , Bratvold, R.B., Tartakovsky, D.M. (2025)

  High-precision geosteering via reinforcement learning and particle filters

  Computational Geosciences

• PhD-thesis by: Pacis, F.J.C., Wiktorski, T., Alyaev, S. (2025)

  Applied Transfer Learning in Drilling Engineering

  Universitetet i Stavanger

• Conf-paper by: Djecta, H.E., Alyaev, S. , Fossum, K. , Bratvold, R.B., Muhammad, R.B., Srivastava, A. (2025)

  Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach Meets Particle Filters

  ICCS 2025: 25th International Conference on Computational Science

• Book-chapter by: Jahani, N., Fossum, K. , Saputra, W., Torres-Verdin, C., Fjeldberg, E.R. (2025)

  Fast Multi-Level and Multi-Grid Stochastic Inversion of UDAR Measurements

  SPWLA

• Conf-paper by: Jahani, N., Fossum, K. , Saputra, W., Torres-Verdin, C., Fjeldberg, E.R. (2025)

  Fast Multi-Level and Multi-Grid Stochastic Inversion of UDAR Measurements

  SPWLA 66th Annual Logging Symposium

• Conf-paper by: Fossum, K. , Jahani, N. (2025)

  Ensemble-based inversion of structural geological models with borehole EM measurements

  2025 EAGE Annual 86th Conference & Exhibition

• Conf-paper by: Stordal, A.S. (2025)

  Estimating Bayesian Model Evidence and Stacking using Ensemble methods

  ENKF Workshop

• Paper by: Diab-Montero, H.A., Stordal, A.S. , Leeuwen, P.J.v., Vossepoel, F.C. (2025)

  Ensemble Kalman, adaptive Gaussian mixture, and particle flow filters for optimized earthquake occurrence estimation

  Computers & Geosciences

• Conf-paper by: Stordal, A.S. (2025)

  Unbiased estimation of model evidence using ensemble methods

  Data Assimilation Workshop

• Conf-paper by: Stordal, A.S. , Lorentzen, R.J. (2025)

  Comparing three different methods for production optimization

  EAGE Annual 2025

• Conf-paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A.S. , Leeuwenburgh, O., Barros, E. (2025)

  Closed Loop workflow for short-term optimization of wind -powered Reservoir Management

  Joint National Petrocentre Energy Conference (JNPC)

• Paper by: Nilsen, M.M. , Lorentzen, R.J. , Leeuwenburgh, O., Stordal, A.S. , Barros, E. (2025)

  Closed-loop workflow for short-term optimization of wind-powered reservoir management

  Cleaner Energy Systems

• Paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A.S. , Leeuwenburgh, O., Barros, E. (2025)

  Wind-powered reservoir management with application to robust multi-objective optimization

  Computational Geosciences

• Paper by: Oliver, D. , Raanes, P.N. , Skorstad, A., Sætrom, J. (2025)

  Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability

  Geoenergy Science and Engineering

• Paper by: Korosov, A., Ying, Y. , Olason, E. (2025)

  Tuning parameters of a sea ice model using machine learning

  Geoscientific Model Development

• Paper by: Xiu, Y., Wang, Y. , Luo, H., Oliva, L.C.G., Yang, Q. (2025)

  Impact of Ocean, Sea Ice or Atmosphere Initialization on Seasonal Prediction of Regional Antarctic Sea Ice

  Journal of Advances in Modeling Earth Systems

• Paper by: Chen, F., Li, X., Wang, Y. (2025)

  A knowledge-augmented deep fusion method for estimating near-surface air temperature

  Remote Sensing of Environment

• Paper by: Lin, Y., Yang, Q., Li, X., Dong, X., Luo, H., Nie, Y., Wang, J., Wang, Y. , Min, C. (2025)

  Ice-kNN-South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction

  JGR Machine Learning & Computation

• Paper by: Lin, Y., Min, C., Wang, Y. , Wang, K., Luo, H., Ali, A., Liu, J., Yang, Q. (2025)

  Improving Arctic Sea Ice Predictions of the Norwegian Climate Prediction Model Through Dynamical Downscaling

  Journal of Geophysical Research (JGR): Atmospheres

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Dalaiden, Q., Chiu, P., Nie, Y., Luo, H., Yang, Q. (2025)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  AOGS 2025

• Conf-paper by: Wang, Y. , Xiu, Y., Suo, L., Dalaiden, Q., Oliva, L.C.G., Chiu, P., Nie, Y., Luo, H., Yang, Q. (2025)

  From initialization to teleconnections: understanding predictability and variability of Weddell sea ice

  Nansen-Zhu Annual Meeting

• Paper by: Palerme, C., Röhrs, J., Lavergne, T., Rusin, J., Kvanum, A.F., Sørensen, J.A.M., Melsom, A., Brajard, J. , Idzanovic, M., Moro, M.D., Müller, M. (2025)

  MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic

  Geoscientific Model Development

• Paper by: Bacherely, M., Brajard, J. , Patacchiola, M., Illig, S., Keenlyside, N.S. (2025)

  Predicting Atlantic and Benguela Niño events with deep learning

  Science Advances

• Paper by: He, Z., Wang, Y. , Brajard, J. , Wang, X., Shen, Z. (2025)

  Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning

  The Cryosphere

• Paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2025)

  Improving dynamical climate predictions with machine learning: insights from a twin experiment framework

  Nonlinear processes in geophysics

• Paper by: Hourani, M.Y., Ghous, A., Sridaran, R., Lien, M. , Vassvåg, S., Ruiz, H. (2025)

  Implementation of Time-Lapse Gravity and Subsidence Monitoring for Optimising the Development of the Scarborough Gas Field | Earthdoc

  First Break

• Conf-paper by: Lien, M. (2025)

  Gravity field monitoring, Viking and Morcambe CCS

  Risk Management and Monitoring Network Meeting 2025

• Paper by: Lien, M. , Lorentzen, R.J. , Luo, X. , Eikrem, K.S. , Boullenger, B., Leeuwenburgh, O., Smeenk, S. (2025)

  Demonstrating a Multi-Physics Data Assimilation Framework on the Smeaheia CO2 Storage Case | Earthdoc

  24th European Meeting of Environmental and Engineering Geophysics

• Paper by: Heggelund, Y., Lien, M.Ø. , Otto, D. (2025)

  The Application of a Multidisciplinary Framework for Optimizing the Monitoring System for Geological CO2 Storage

  C — Journal of Carbon Research

• Conf-paper by: Lien, M. (2025)

  Combining AVA, 4D gravity, well-pressure and seafloor displacement data within an ensemble-based inversion framework

  World CCUS Conference 2025, CO2 Storage and Monitoring: Challenges, Opportunities and Innovations Workshop

• Paper by: Oliva, L.C.G., Carrassi, A., Counillon, F. (2025)

  Exploring the influence of spatio-temporal scale differences in coupled data assimilation

  Nonlinear processes in geophysics

• Paper by: Singh, T. , Counillon, F.S. , Tjiputra, J., Wang, Y. (2025)

  A Novel Ensemble-Based Parameter Estimation for Improving Ocean Biogeochemistry in an Earth System Model

  Journal of Advances in Modeling Earth Systems

• Paper by: Silva, E., Counillon, F.S. , Brajard, J. , Davy, R., Outten, S., Pettersson, L., Keenlyside, N.S. (2025)

  Warming and freshening coastal waters impact harmful algal bloom frequency in high latitudes

  Communications Earth & Environment

• Paper by: Wang, Y. , Counillon, F.S. , Svendsen, L., Chiu, P., Keenlyside, N.S., Laloyaux, P., Koseki, M., Boisseson, E.d. (2025)

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  Earth System Science Data

• Conf-paper by: Wang, Y. , Counillon, F.S. , Svendsen, L., Chiu, P., Keenlyside, N.S., Laloyaux, P., Boisseson, E.d., Koseki, M. (2025)

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  NERSC internal seminar

• Conf-paper by: Wang, Y. , Counillon, F.S. (2025)

  Achievements of the CoRea Project in Coupled Climate Reanalysis

  International EnKF workshop 2025

• Conf-paper by: Williams, N., Wang, Y. , Counillon, F.S. (2025)

  Improving Arctic sea ice reanalysis and seasonal prediction with assimilation of sea ice thickness and drift observations

  BACO-25

• Paper by: Williams, N., Wang, Y. , Counillon, F.S. (2025)

  Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS

  The Cryosphere

• Paper by: Vossepoel, F.C., Evensen, G. , Leeuwen, P.J.v. (2025)

  Adaptive correlation- and distance-based localization for iterative ensemble smoothers in a coupled nonlinear multiscale model

  Monthly Weather Review

• Paper by: Wang, Y. , Counillon, F.S. , Ying, Y. , Barthelemy, S., Evensen, G. (2025)

  Improving Ocean Reanalysis with the Offline Ensemble Kalman Smoother

  Tellus A: Dynamic Meteorology and Oceanography

• Paper by: Dong, C., Zhang, Z., Keenlyside, N., Sobolowski, S.P., Otterå, O.H., Bonaduce, A., Xie, J. , Raj, R.P., Liu, Y., Liu, B., Wu, M. (2025)

  Intensification of extreme cold events in East Asia in response to global mean sea-level rise

  Nature Communications

• Paper by: Ciavatta, S., Lazzari, P., Alvarez, E., Bertino, L. , Bolding, K., Bruggeman, J., Capet, A., Cossarini, G., Daryabor, F., Nerger, L., Popov, M., Skakala, J., Spada, S., Teruzzi, A., Wakamatsu, T., Yumruktepe, V.Ç., Brasseur, P. (2025)

  Control of simulated ocean ecosystem indicators by biogeochemical observations

  Progress in Oceanography

• Paper by: Edel, L., Xie, J. , Korosov, A., Brajard, J. , Bertino, L. (2025)

  Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach

  The Cryosphere

• Paper by: Mendonça, F., Martins, F., Bertino, L. (2025)

  Design of an Observing System Simulation Experiment for the Operational Model of the Southwestern Coast of Iberia (SOMA)

  Journal of Marine Science and Engineering (JMSE)

• Paper by: Durand, C., Finn, T.S., Farchi, A., Bocquet, M., Brajard, J. , Bertino, L. (2025)

  Four-dimensional variational data assimilation with a sea-ice thickness emulator

  The Cryosphere

• Paper by: Martin, M.J., Hoteit, I., Bertino, L.P.V. , Moore, A.M. (2025)

  Data assimilation schemes for ocean forecasting: state of the art

  State of the Planet (SP)

• Conf-paper by: Jahani, N., Fossum, K. , Saputra, W., Torres-Verdin, C., Fjeldberg, E.R. (2025)

  Fast Multi-Level and Multi-Grid Stochastic Inversion of UDAR Measurements

  SPWLA 66th Annual Logging Symposium

• Paper by: Diab-Montero, H.A., Stordal, A.S. , van Leeuwen, P.J., Vossepoel, F.C. (2025)

  Ensemble Kalman, adaptive Gaussian mixture, and particle flow filters for optimized earthquake occurrence estimation

  Computers & Geosciences

• Paper by: Chen, F., Li, X., Wang, Y. (2025)

  A knowledge-augmented deep fusion method for estimating near-surface air temperature

  Remote Sensing of Environment

• Paper by: Cheraghi, Y., Alyaev, S. , Bratvold, R.B., Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A. (2025)

  Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment

  Applied Computing and Geosciences

• Paper by: Bachèlery, M., Brajard, J. , Patacchiola, M., Illig, S., Keenlyside, N.S. (2025)

  Predicting Atlantic and Benguela Niño events with deep learning

  Science Advances

• Paper by: Ye, W., Huang, X., Han, L., Wang, C., Luo, X. , Wang, N., Lei, Y., Xu, Y. (2025)

  Regularized Seismic Full Waveform Inversion Using Inverse Scattering Approach and Preconditioned L-BFGS Optimization

  IEEE Transactions on Geoscience and Remote Sensing

• PhD-thesis by: Pacis, F.J.C., Wiktorski, T., Alyaev, S. (2025)

  Applied Transfer Learning in Drilling Engineering

  Universitetet i Stavanger

• Paper by: Muhammad, R.B., Srivastava, A., Alyaev, S. , Bratvold, R.B., Tartakovsky, D.M. (2025)

  High-precision geosteering via reinforcement learning and particle filters

  Computational Geosciences

• Paper by: Ambrus, A., Pacis, F.J.C., Alyaev, S. , Khosravanian, R., Kristiansen, T.G. (2025)

  Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

  Energies

• Paper by: Korosov, A., Ying, Y. , Olason, E. (2025)

  Tuning parameters of a sea ice model using machine learning

  Geoscientific Model Development

• Paper by: Xiu, Y., Wang, Y. , Luo, H., Garcia Oliva, L.C., Yang, Q. (2025)

  Impact of Ocean, Sea Ice or Atmosphere Initialization on Seasonal Prediction of Regional Antarctic Sea Ice

  Journal of Advances in Modeling Earth Systems

• Paper by: Ouyang, M., Ye, W., Deng, D., Huang, X., Luo, X. (2025)

  Combining Envelope Inversion and Full Waveform Inversion for Velocity Model Building Using OBN Data

  Pure and Applied Geophysics (PAGEOPH)

• Paper by: Edel, L., Xie, J. , Korosov, A., Brajard, J. , Bertino, L. (2025)

  Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach

  The Cryosphere

• Paper by: Zhang, L., Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2025)

  Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications

  First Break

• Paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2025)

  Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts

  SPE Journal

• PhD-thesis by: Muhammad, R.B., Bratvold, R.B., Alyaev, S. (2025)

  A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering

  Universitetet i Stavanger

• Paper by: Lin, Y., Yang, Q., Li, X., Dong, X., Luo, H., Nie, Y., Wang, J., Wang, Y. , Min, C. (2025)

  Ice-kNN-South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction

  JGR Machine Learning & Computation

• Paper by: Singh, T. , Counillon, F.S. , Tjiputra, J., Wang, Y. (2025)

  A novel ensemble-based parameter estimation for improving ocean biogeochemistry in an Earth system model

  Journal of Advances in Modeling Earth Systems

• Paper by: Ciavatta, S., Lazzari, P., Alvarez, E., Bertino, L. , Bolding, K., Bruggeman, J., Capet, A., Cossarini, G., Daryabor, F., Nerger, L., Popov, M., Skakala, J., Spada, S., Teruzzi, A., Wakamatsu, T., Yumruktepe, V.Ç., Brasseur, P. (2025)

  Control of simulated ocean ecosystem indicators by biogeochemical observations

  Progress in Oceanography

• Paper by: Behura, J., Alyaev, S. (2025)

  Geophysics Bright Spots: Strategic geosteering workflow

  The Leading Edge

• Book-chapter by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2024)

  Enhancing geosteering with AI : Integrating a decision-making robot into a cloud-based environment and benchmarking against human experts

  Society of Petroleum Engineers

• Conf-paper by: Wang, Y. (2024)

  Impact of super resolution SIT data for seasonal sea ice predictions

  SuperIce workshop

• Paper by: Ishikawa, I., Fujii, Y., Boisseson, E.d., Wang, Y. , Zuo, H. (2024)

  Evaluation of the effects of Argo data quality control on global ocean data assimilation systems

  Frontiers in Marine Science

• Paper by: Ogilvie, A., King, L.A., Keenlyside, N.S., Counillon, F.S. , Davidsdottir, B., Einarsson, N., Gulev, S., Fan, K., Koenigk, T., Mcgoodwin, J.R., Rasmusson, M.H., Yang, S. (2024)

  Recent Ventures in Interdisciplinary Arctic Research: The ARCPATH Project

  Advances in Atmospheric Sciences

• Paper by: Moro, M.D., Sperrevik, A.K., Lavergne, T., Bertino, L. , Gusdal, Y., Iversen, S.C., Rusin, J. (2024)

  Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model

  The Cryosphere

• Paper by: Mannseth, T. (2024)

  Multiscale model diagnostics

  Computational Geosciences

• Conf-paper by: Nøttveit, A., Midttømme, K., Mannseth, T. , Sprenkeling, M., Heijden, J.v.d., Otto, D., Neele, F., Leeuwenburgh, O., Koning, M. (2024)

  Risk-based framework for assessing CO2 storage monitoring

  EAGE Geotech 3rd EAGE Geoscience Technologies and applications conference 2024

• Paper by: Luo, X. , Tveit, S., Gholami, R., Andersen, P.Ø. (2024)

  Underground hydrogen storage (UHS) in natural storage sites: A perspective of subsurface characterization and monitoring

  Fuel

• Paper by: Ranazzi, P.H., Luo, X. , Sampaio, M.A. (2024)

  Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models

  Computers & Geosciences

• Paper by: Huang, X., Sun, T., Han, L., Deng, D., Ouyang, M., Greenhalgh, S., Luo, X. (2024)

  Multiparameter full waveform inversion for velocity and attenuation reconstruction using nearly-constant Q models

  IEEE Transactions on Geoscience and Remote Sensing

• Conf-paper by: Luo, X. , Ranazzi, P.H. (2024)

  Cross-validation in an iterative ensemble smoother: Stopping earlier for better

  The 19th EnKF workshop (2024)

• Paper by: Xia, C., Li, J., Riva, M., Luo, X. , Guadagnini, A. (2024)

  Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization

  Journal of Hydrology

• Paper by: Luo, X. , Ranazzi, P. (2024)

  Better stopping through cross validation in an iterative ensemble smoother: A perspective from supervised machine learning

  Geoenergy Science and Engineering

• Conf-paper by: Luo, X. , Ranazzi, P.H. (2024)

  Cross validation in an iterative ensemble smoother for reservoir data assimilation

  Workshop of Energy Norway Conference 2024

• Conf-paper by: Amiri, B., Andersen, P.Ø., Ghaedi, M., Luo, X. (2024)

  Investigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model

  SPE Norway Subsurface Conference

• Book-chapter by: Amiri, B., Andersen, P.Ø., Ghaedi, M., Luo, X. (2024)

  Investigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model

  Society of Petroleum Engineers

• Paper by: Oliver, D. (2024)

  Robust Optimization Using the Mean Model with Bias Correction

  Mathematical Geosciences

• Paper by: Ba, Y., Oliver, D. (2024)

  Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation

  Mathematical Geosciences

• Conf-paper by: Alyaev, S. , Muhammad, R.B., Cheraghi, Y., Bratvold, R.B., Srivastava, A., Tartakovsky, D.M. (2024)

  Optimizing Sequential Decisions in Geosteering: Reinforcement Learning vs Human Experts in Fast-Paced Uncertain Environment

  CSSR Annual Conference 2024

• Paper by: Rammay, M.H., Alyaev, S. , Larsen, D.S., Bratvold, R.B., Saint, C. (2024)

  Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data

  Geophysics

• Conf-paper by: Alyaev, S. , Muhammad, R.B., Cheraghi, Y., Bratvold, R.B., Srivastava, A., Tartakovsky, D.M. (2024)

  How to Explain Geology to a Robot? DISTINGUISHing Patterns for Optimal Geosteering Decisions

  DigiWells Seminar 2024

• Conf-paper by: Alyaev, S. , Pacis, F.J.C., Wiktorski, T. (2024)

  Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications

  DigiWells Seminar 2024

• Paper by: Saparbayeva, N., Balakin, B., Struchalin, P., Rahman, T., Alyaev, S. (2024)

  Application of Machine Learning to Predict Blockage in Multiphase Flow

  Computation

• Conf-paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2024)

  Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts

  SPE Norway Subsurface Conference

• Conf-paper by: Alyaev, S. , Pacis, F.J.C., Wiktorski, T. (2024)

  Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data

  FAIEMA 2024

• Book-chapter by: Pacis, F.J.C., Alyaev, S. , Pelfrene, G., Wiktorski, T. (2024)

  Enhancing information retrieval in the drilling domain : Zero-shot learning with large language models for question-answering

  Society of Petroleum Engineers

• Book-chapter by: Alvi, A.T., Jahani, N., Bratvold, R.B., Alyaev, S. (2024)

  Deep Learning Architectures for Predicting Geological Parameters of Pinch-Outs Using Deep Sensing Borehole Electromagnetic Instruments

  European Association of Geoscientists and Engineers (EAGE)

• PhD-thesis by: Saparbayeva, N., Balakin, B., Rahman, T., Kosinski, P.J., Alyaev, S. (2024)

  Numerical models of multiphase flows with sticky particles

  Høgskulen på Vestlandet

• Conf-paper by: Alyaev, S. , Fossum, K. , Djecta, H.E., Tveranger, J., Elsheikh, A.H. (2024)

  Laying the Foundation for Generative AI-Enhanced Geosteering: The Complete DISTINGUISH Workflow

  Geosteering and Formation Evaluation Workshop by NORCE and NFES 2024

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2024)

  Advancing subsurface uncertainty quantification with multilevel Bayesian model comparison

  European Conference for Mathematics of Geological Reservoirs, ECMOR 2024

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2024)

  Multi-fidelity Bayesian Stacking for a realistic reservoir model

  Monthly Data Assimilation seminar

• Book-chapter by: Alyaev, S. , Fossum, K. , Djecta, H.E., Tveranger, J., Elsheikh, A.H. (2024)

  DISTINGUISH Workflow: a New Paradigm of Dynamic Well Placement Using Generative Machine Learning

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Lorentzen, R.J. , Bhakta, T. , Fossum, K. , Haugen, J.A., Lie, E.O., Ndingwan, A.O., Straith, K.R. (2024)

  Ensemble-based history matching of the Edvard Grieg field using 4D seismic data

  Computational Geosciences

• Conf-paper by: Djecta, H.E., Cheraghi, Y., Muhammad, R.B., Alyaev, S. , Fossum, K. , Bratvold, R.B., Srivastava, A. (2024)

  Improvement of Reinforcement Learning Strategies of the Pluralistic Robot Validated in Competitive Geosteering

  Geosteering and Formation Evaluation Workshop by NORCE and NFES 2024

• Conf-paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2024)

  Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel

  CSSR Joint Industry Workshop in Reservoir Management

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2024)

  Multi-fidelity Bayesian Stacking for a realistic reservoir model

  Energy Norway 2024

• Conf-paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2024)

  Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel

  Monthly Data Assimilation seminar

• Conf-paper by: Alyaev, S. , Fossum, K. , Djecta, H.E., Tveranger, J., Elsheikh, A.H. (2024)

  DISTINGUISH Workflow: a New Paradigm of Dynamic Well Placement Using Generative Machine Learning

  ECMOR 2024

• Conf-paper by: Fossum, K. , Mannseth, T. , Berthet, P. (2024)

  Multi-fidelity data assimilation applied to a realistic reservoir model

  85th EAGE Annnual Conference & Exhibition

• Book-chapter by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2024)

  Advancing Subsurface Uncertainty Quantification with Multilevel Bayesian Model Comparison

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Mannseth, T. , Fossum, K. , Aanonsen, S.I. (2024)

  Calculating Bayesian model evidence for porous-media flow using a multilevel estimator

  Journal of Computational Physics

• Paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2024)

  Ensemble history-matching workflow using interpretable SPADE-GAN geomodel

  First Break

• Paper by: Bieleninik, L., Kvestad, I., Gold, C., Stordal, A.S. , Assmus, J., Arnon, S., Elefant, C., Ettenberger, M., Gaden, T.S., Haar-Shamir, D., Håvardstun, T., Lichtensztejn, M., Mangersnes, J., Wiborg, A., Vederhus, B.J., Ghetti, C. (2024)

  Music Therapy in Infancy and Neurodevelopmental Outcomes in Preterm Children: A Secondary Analysis of the LongSTEP Randomized Clinical Trial

  JAMA Network Open

• Paper by: Ettenberger, M., Bieleninik, L., Stordal, A.S. , Ghetti, C. (2024)

  The effect of paternal anxiety on mother-infant bonding in neonatal intensive care

  BMC Pregnancy and Childbirth

• Book-chapter by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A. , Leeuwenburgh, O., Barros, E. (2024)

  Wind-powered reservoir management

  European Association of Geoscientists and Engineers (EAGE)

• Book-chapter by: Sandve, T.H., Lorentzen, R.J. , Landa-Marbán, D., Fossum, K. (2024)

  Closed-Loop Reservoir Management Using Fast Data-Calibrated Coarse Models

  European Association of Geoscientists and Engineers (EAGE)

• Book-chapter by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A. , Leeuwenburgh, O., Barros, E. (2024)

  Wind-Powered Reservoir Management

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Gasda, S.E., Nilsen, M.M. , Lorentzen, R.J. , Stordal, A. , Leeuwenburgh, O., Barros, E. (2024)

  Wind-powered oil production: subsurface challenges and digital solutions

  Reservoir & Production Management 2024

• Conf-paper by: Lorentzen, R.J. (2024)

  Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

  Workshop on image processing, modelling of porous media flow and parameter estimation in medicine and geo-sciences

• Paper by: Nilsen, M.M. , Stordal, A. , Lorentzen, R.J. , Raanes, P.N. , Eikrem, K.S. (2024)

  Accelerated ensemble optimization using momentum methods

  Scientific Reports

• Book-chapter by: Saputera, D.H., Jakobsen, M., Jahani, N., Dongen’, K.V., Alyaev, S. , Eikrem, K.S. (2024)

  Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Nilsen, M.M. , Stordal, A.S. , Raanes, P.N. , Lorentzen, R.J. , Eikrem, K.S. (2024)

  Non-Gaussian Ensemble Optimization

  Mathematical Geosciences

• Conf-paper by: Nævdal, G. (2024)

  Estimating perfusion using ensemble-based data assimilation

  The numerical brain: forward and inverse problems in neuroscience applications

• Conf-paper by: Stiller, K.T., Meriac, A., Nævdal, G. , Kolarevic, J. (2024)

  APPROACHES FOR CARBON DIOXIDE DEGASSING UNIT AUTOMATION

  Aqua 2024

• Conf-paper by: Korosov, A., Ying, Y. , Olason, E. (2024)

  Satellite sea drift observations for tuning a sea ice model parameters

  Winter Satellite Workshop

• Conf-paper by: Korosov, A., Ying, Y. , Olason, E. (2024)

  Satellite sea drift observations for tuning a sea ice model parameters

  Ocean and sea ice seminar on observation-model synthesis

• Conf-paper by: Korosov, A., Ying, Y. , Olason, E. (2024)

  Tuning parameters of a sea ice model using machine learning

  DA assimilation seminar

• Paper by: Sospedra-Alfonso, R., Merryfield, W.J., Toohey, M., Timmreck, C., Vernier, J., Bethke, I., Wang, Y. , Bilbao, R., Donat, M.G., Ortega, P., Cole, J., Lee, W., Delworth, T.L., Paynter, D., Zeng, F., Zhang, L., Khodri, M., Mignot, J., Swingedouw, D., Torres, O., Shuai, H., Man, W., Zuo, M., Hermanson, L., Smith, D., Kataoka, T., Tatebe, H. (2024)

  Decadal Prediction Centers Prepare for a Major Volcanic Eruption

  Bulletin of The American Meteorological Society - (BAMS)

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Chiu, P., Luo, H., Yang, Q. (2024)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Paper by: Drews, A., Schmith, T., Tian, T., Wang, Y. , Devilliers, M., Keenlyside, N.S., Yang, S., Olsen, S.M. (2024)

  The Crucial Role of the Subpolar North Atlantic for Skillful Decadal Climate Predictions

  Geophysical Research Letters

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Garcia-Oliva, L., Yang, Q. (2024)

  The variability and predictability of regional Antarctic sea ice on seasonal timescale

  EGU 2024

• Conf-paper by: Wang, Y. , Counillon, F.S. (2024)

  CoRea1860+: a new coupled reanalysis of the climate from 1860 to the present

  Hohai University

• Conf-paper by: Wang, Y. , Counillon, F.S. (2024)

  CoRea1860+: a new coupled reanalysis of the climate from 1860 to the present

  Nansen-Zhu annual meeting

• Conf-paper by: Wang, Y. , Williams, N., He, Z., Xiu, Y., Counillon, F.S. (2024)

  Recent developments of Norwegian Climate Prediction Model in seasonal sea ice forecasting 

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Yang, Q., Min, C., Xiao, L., Liu, Y., Luo, H., Nie, Y., Nerger, L., Wang, Y. (2024)

  The Emerging Arctic Shipping Corridors

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Wang, Y. (2024)

  Towards skillful subseasonal-to-seasonal sea ice prediction

  Digital workshop on China-Norway joint research projects

• Paper by: Chen, F., Wang, Y. , Li, X. (2024)

  A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations

  IEEE Transactions on Geoscience and Remote Sensing

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Chiu, P., Luo, H., Yang, Q. (2024)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  BCPU meeting

• Conf-paper by: Wang, Y. (2024)

  Towards skillful subseasonal-to-seasonal sea ice prediction

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Paper by: Baaklini, G., Brajard, J. , Issa, L., Fifani, G., Mortier, L., Hourany, R.E. (2024)

  Monitoring the coastal-offshore water interactions in the Levantine Sea using ocean color and deep supervised learning

  Ocean Science

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving Seasonal Arctic Sea Ice Predictions with the Combination of Machine Learning and Earth System Model

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Paper by: Barth, A., Brajard, J. , Alvera-Azcárate, A., Mohamed, B., Troupin, C., Beckers, J. (2024)

  Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll a concentration in the Black Sea

  Ocean Science

• Conf-paper by: Silva, E., Counillon, F.S. , Brajard, J. , Davy, R. (2024)

  Harmful algae bloom frequency response to climate change along the Norwegian coast

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving dynamical seasonal sea ice prediction in the Arctic with machine learning

  EGU 2024

• Conf-paper by: He, Z., Wang, Y. , Brajard, J. , Wang, X. (2024)

  Improving dynamical seasonal sea ice prediction in the Arctic with machine learning

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving dynamical prediction with machine learning

  NERSC internal seminar

• Review-paper by: Bracco, A., Brajard, J. , Dijkstra, H.A., Hassanzadeh, P., Lessig, C., Monteleoni, C. (2024)

  Machine learning for the physics of climate

  Nature Reviews Physics

• Conf-paper by: Langehaug, H.R., Sandø, A.B., Hordoir, R., Counillon, F.S. , Chiu, P., Raj, R.P. (2024)

  Marine heatwaves: Can we predict them in the Barents Sea?

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Williams, N., Wang, Y. , Counillon, F.S. (2024)

  Improving sea ice reanalysis and prediction in NorCPM using assimilation of sea ice thickness data from ENVISAT and C2SMOS

  IICWG-DA-12

• Conf-paper by: Singh, T. , Counillon, F.S. , Keenlyside, N.S., Chiu, P., Schevenhoven, F.J. (2024)

  Supermodelling towards improved climate prediction

  Ocean Predict 2024

• Paper by: Bushuk, M., Ali, S., Bailey, D.A., Bao, Q., Batté, L., Bhatt, U.S., Blanchard-Wrigglesworth, E., Blockley, E., Cawley, G., Chi, J., Counillon, F.S. , Coulombe, P.G., Cullather, R.I., Diebold, F.X., Dirkson, A., Exarchou, E., Göbel, M., Gregory, W., Guemas, V., Hamilton, L., He, B., Horvath, S., Ionita, M., Kay, J.E., Kim, E., Kimura, N., Kondrashov, D., Labe, Z.M., Lee, W., Lee, Y.J., Liu, C., Liu, X., Lin, Y., Liu, Y., Maslowski, W., Massonnet, F., Meier, W.N., Merryfield, W.J., Myint, H., Navarro, J.C.A., Petty, A., Qiao, F., Schweiger, A., Shu, Q., Sigmond, M., Steele, M., Stroeve, J., Sun, N., Schröder, D., Tietsche, S., Tsamados, M., Wang, K., Wang, J., Wang, W., Wang, Y. , Williamson, J., Yang, Q., Yuan, X., Zhang, J., Zhang, Y. (2024)

  Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

  Bulletin of The American Meteorological Society - (BAMS)

• Conf-paper by: Silva, E., Counillon, F.S. , Brajard, J. , Pettersson, L.H., Naustvoll, L.J. (2024)

  Forecasting harmful algae blooms: Application to Dinophysis acuminata in northern Norway

  Workshop Ocean and sea ice forecasting in the Arctic

• Paper by: Silva, E., Brajard, J. , Counillon, F.S. , Pettersson, L.H., Naustvoll, L.J. (2024)

  Probabilistic models for harmful algae: application to the Norwegian coast

  Environmental Data Science (EDS)

• Conf-paper by: Davy, R., Counillon, F.S. , Singh, T. , Suo, L., Outten, S. (2024)

  Reducing biases in low cloud cover over the tropical Atlantic in the Norwegian Earth System Model

  European Geophysical Union General Assembly 2024

• Conf-paper by: Keenlyside, N.S., Singh, T. , Chiu, P., Counillon, F.S. (2024)

  Supermodelling Towards Improved Climate Prediction

  Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: Wang, Y. , Counillon, F.S. , Ying, Y. , Barthelemy, S.J. (2024)

  Improving climate reanalysis with the offline ensemble Kalman smoother

  EnKF workshop 2024

• Paper by: Barthelemy, S.J., Counillon, F.S. , Wang, Y. (2024)

  Adaptive Covariance Hybridization for the Assimilation of SST Observations Within a Coupled Earth System Reanalysis

  Journal of Advances in Modeling Earth Systems

• Conf-paper by: Langehaug, H.R., Sandø, A.B., Hordoir, R., Counillon, F.S. , Chiu, P., Raj, R.P. (2024)

  Marine heatwaves: Can we predict them in the Barents Sea?

  EGU General Assembly 2024

• Paper by: Irvali, N., Ninnemann, U.S., Olsen, A., Rose, N.L., Thornalley, D.J., Mjell, T.L., Counillon, F.S. (2024)

  Revising chronological uncertainties in marine archives using global anthropogenic signals: a case study on the oceanic ¹³C Suess effect

  Geochronology (GChron)

• Conf-paper by: Langehaug, H.R., Sandø, A.B., Hordoir, R., Counillon, F.S. , Chiu, P., Raj, R.P. (2024)

  Marine heatwaves: Can we predict them in the Barents Sea?

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Paper by: Garcia-Oliva, L.C., Counillon, F.S. , Bethke, I., Keenlyside, N.S. (2024)

  Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM

  Climate Dynamics

• Paper by: Wang, X., Zhang, Z., Yu, E., Guo, C., Otterå, O.H., Counillon, F.S. (2024)

  Warm Advection as a Cause for Extreme Heat Event in North China

  Geophysical Research Letters

• Conf-paper by: Silva, E., Counillon, F.S. , Brajard, J. , Davy, R., Outten, S., Pettersson, L.H. (2024)

  Climate Change and the Frequency of Toxic Algae Blooms in a Polar Region: The Effect of Warming and Freshening of Coastal Waters

  NERSC internal seminar

• Paper by: Richter, I., Ratnam, J.V., Martineau, P., Oettli, P., Doi, T., Ogata, T., Kataoka, T., Counillon, F.S. (2024)

  A Simple Statistical Postprocessing Scheme for Enhancing the Skill of Seasonal SST Predictions in the Tropics

  Monthly Weather Review

• Conf-paper by: Barthelemy, S.J., Counillon, F.S. , Wang, Y. (2024)

  Adaptive covariance hybridization for coupled climate reanalysis

  Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: Nair, A.S., Counillon, F.S. , Keenlyside, N.S. (2024)

  Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

  Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: Wang, Y. , Counillon, F.S. (2024)

  CoRea1860+: coupled reanalysis of the climate from 1860 to the present

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: Silva, E., Brajard, J. , Counillon, F.S. , Pettersson, L.H., Naustvoll, L.J. (2024)

  Forecasting of harmful algae blooms (HABs)

  FORMAL scientific day 2024

• Paper by: Nair, A.S., Counillon, F.S. , Keenlyside, N.S. (2024)

  Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

  Climate Dynamics

• Conf-paper by: Evensen, G. (2024)

  Ensemble History Matching with consistent uncertainty modelling

  Reservoir & Production Management Conference 2024

• Conf-paper by: Evensen, G. (2024)

  Iterative ensemble smoothers for data assimilation

  Summer School: Data Assimilation for Geosciences

• Paper by: Evensen, G. , Vossepoel, F.C., Leeuwen, P.J.V. (2024)

  Iterative Ensemble Smoothers for Data Assimilation in Coupled Nonlinear Multiscale Models

  Monthly Weather Review

• Conf-paper by: Evensen, G. (2024)

  On the formulation of the ensemble history-matching problem

  PAUQ: International Workshop : Practical Data Assimilation and Uncertainty Quantification

• Conf-paper by: Evensen, G. (2024)

  Ensemble parameter estimation: conditioning models on dynamic data

  Invited presentation and chrash course on DA at UNIBE

• Paper by: Umbert, M., Andrés, E.d., Sanchez, M., Gabarró, C., Hoareau, N., Gonzalez-Gambau, V., Garcia-Espriu, A., Olmedo, E., Raj, R.P., Xie, J. , Catany, R. (2024)

  Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea

  Ocean Science

• Conf-paper by: Barthelemy, S.J., Counillon, F.S. , Brajard, J. , Bertino, L. (2024)

  Hybrid covariance super-resolution data assimilation

  International Liège colloquium on Ocean Dynamics

• Conf-paper by: Bertino, L. , Brajard, J. , Olason, E., Ying, Y. (2024)

  Machine Learning to reduce the costs of ensemble data assimilation in the context of Arctic Ocean forecasting

  Cross-VESRI meeting

• Paper by: Alvarez, F., Ciliberti, S., Pearlman, J., Wilmer-Becker, K., Bahurel, P., Ardhuin, F., Arnaud, A., Azizzadenesheli, K., Aznar, R., Bell, M., Bertino, L. , Behera, S., Brassington, G., Calewaert, J., Capet, A., Chassignet, E., Ciavatta, S., Qiao, F., Regan, H., Robert-Jones, J., Schuckmann, K.v., Zuffic, R. (2024)

  Promoting best practices in ocean forecasting through an Operational Readiness Level

  Frontiers in Marine Science

• Paper by: Driscoll, S., Carrassi, A., Brajard, J. , Bertino, L. , Bocquet, M., Olason, E. (2024)

  Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

  Journal of Computational Science

• Paper by: Chen, Y., Smith, P., Carrassi, A., Pasmans, I., Bertino, L. , Bocquet, M., Finn, T.S., Rampal, P., Dansereau, V.D. (2024)

  Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

  The Cryosphere

• Paper by: Barthelemy, S.J., Counillon, F.S. , Brajard, J. , Bertino, L. (2024)

  Hybrid covariance super-resolution data assimilation

  Ocean Dynamics

• Conf-paper by: Bertino, L. , Moro, M.D., Befort, D., Hucher, L. (2024)

  ACCIBERG - Arctic Cross-Copernicus forecast products for sea ice and icebergs

  Copernicus Marine 8th General Assembly

• Review-paper by: Stammer, D., Amrhein, D.E., Balmaseda, M.A., Bertino, L. , Bonavita, M., Buontempo, C., Caltabiano, N., Counillon, F.S. , Fenty, I., Ferrari, R., Fujii, Y., Gaikwad, S.S., Gentine, P., Gettelman, A., Gopalakrishnan, G., Heimback, P., Hersbach, H., Hill, C., Kobayashi, S., Köhl, A., Kushner, P.J., Mazloff, M., Nakamura, H., Penny, S.G., Silvinski, L., Tegtmeier, S., Zanna, L. (2024)

  Earth System Reanalysis in Support of Climate Model Improvements

  Bulletin of The American Meteorological Society - (BAMS)

• Paper by: Jeuring, J., Samuelsen, E.M., Lamers, M., Müller, M., Hjøllo, B.Å., Bertino, L. , Hagen, B. (2024)

  Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios

  Weather, Climate, and Society

• Paper by: Palerme, C., Lavergne, T., Rusin, J., Melsom, A., Brajard, J. , Kvanum, A.F.H., Sørensen, J.A.M., Bertino, L. , Müller, M. (2024)

  Improving short-term sea ice concentration forecasts using deep learning

  The Cryosphere

• Conf-paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A. , Leeuwenburgh, O., Barros, E. (2024)

  Wind-powered reservoir management

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Sandve, T.H., Lorentzen, R.J. , Landa-Marbán, D., Fossum, K. (2024)

  Closed-Loop Reservoir Management Using Fast Data-Calibrated Coarse Models

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A. , Leeuwenburgh, O., Barros, E. (2024)

  Wind-Powered Reservoir Management

  European Association of Geoscientists and Engineers (EAGE)

• PhD-thesis by: Saparbayeva, N., Balakin, B., Rahman, T., Kosinski, P.J., Alyaev, S. (2024)

  Numerical models of multiphase flows with sticky particles

  Høgskulen på Vestlandet

• Paper by: Huang, X., Sun, T., Han, L., Deng, D., Ouyang, M., Greenhalgh, S., Luo, X. (2024)

  Multiparameter full waveform inversion for velocity and attenuation reconstruction using nearly-constant Q models

  IEEE Transactions on Geoscience and Remote Sensing

• Paper by: Ishikawa, I., Fujii, Y., de Boisseson, E., Wang, Y. , Zuo, H. (2024)

  Evaluation of the effects of Argo data quality control on global ocean data assimilation systems

  Frontiers in Marine Science

• Paper by: Barth, A., Brajard, J. , Alvera-Azcárate, A., Mohamed, B., Troupin, C., Beckers, J. (2024)

  Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll a concentration in the Black Sea

  Ocean Science

• Paper by: Baaklini, G., Brajard, J. , Issa, L., Fifani, G., Mortier, L., El Hourany, R. (2024)

  Monitoring the coastal-offshore water interactions in the Levantine Sea using ocean color and deep supervised learning

  Ocean Science

• Paper by: Sospedra-Alfonso, R., Merryfield, W.J., Toohey, M., Timmreck, C., Vernier, J., Bethke, I., Wang, Y. , Bilbao, R., Donat, M.G., Ortega, P., Cole, J., Lee, W., Delworth, T.L., Paynter, D., Zeng, F., Zhang, L., Khodri, M., Mignot, J., Swingedouw, D., Torres, O., Shuai, H., Man, W., Zuo, M., Hermanson, L., Smith, D., Kataoka, T., Tatebe, H. (2024)

  Decadal prediction centers prepare for a major volcanic eruption

  Bulletin of The American Meteorological Society - (BAMS)

• Review-paper by: Bracco, A., Brajard, J. , Dijkstra, H.A., Hassanzadeh, P., Lessig, C., Monteleoni, C. (2024)

  Machine learning for the physics of climate

  Nature Reviews Physics

• Paper by: Alvarez, F., Ciliberti, S., Pearlman, J., Wilmer-Becker, K., Bahurel, P., Ardhuin, F., Arnaud, A., Azizzadenesheli, K., Aznar, R., Bell, M., Bertino, L. , Behera, S., Brassington, G., Calewaert, J., Capet, A., Chassignet, E., Ciavatta, S., Qiao, F., Regan, H., Robert-Jones, J., von Schuckmann, K., Zuffic, R. (2024)

  Promoting best practices in ocean forecasting through an Operational Readiness Level

  Frontiers in Marine Science

• Paper by: Ranazzi, P.H., Luo, X. , Sampaio, M.A. (2024)

  Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models

  Computers & Geosciences

• Paper by: Rammay, M.H., Alyaev, S. , Larsen, D.S., Bratvold, R.B., Saint, C. (2024)

  Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data

  Geophysics

• Paper by: Oliver, D. , Raanes, P.N. , Skorstad, A., Sætrom, J. (2024)

  Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability

  Geoenergy Science and Engineering

• Paper by: Nilsen, M.M. , Stordal, A. , Lorentzen, R.J. , Raanes, P.N. , Eikrem, K.S. (2024)

  Accelerated ensemble optimization using momentum methods

  Scientific Reports

• Paper by: Nair, A.S., Counillon, F.S. , Keenlyside, N.S. (2024)

  Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

  Climate Dynamics

• Paper by: Barthelemy, S.J., Counillon, F.S. , Brajard, J. , Bertino, L. (2024)

  Hybrid covariance super-resolution data assimilation

  Ocean Dynamics

• Conf-paper by: Amiri, B., Østebø Andersen, P., Ghaedi, M., Luo, X. (2024)

  Investigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model

  Society of Petroleum Engineers

• Paper by: Luo, X. , Ranazzi, P. (2024)

  Better stopping through cross validation in an iterative ensemble smoother: A perspective from supervised machine learning

  Geoenergy Science and Engineering

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2024)

  Advancing Subsurface Uncertainty Quantification with Multilevel Bayesian Model Comparison

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Alyaev, S. , Fossum, K. , Djecta, H.E., Tveranger, J., Elsheikh, A.H. (2024)

  DISTINGUISH Workflow: a New Paradigm of Dynamic Well Placement Using Generative Machine Learning

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Saputera, D.H., Jakobsen, M., Jahani, N., Van Dongen’, K., Alyaev, S. , Eikrem, K.S. (2024)

  Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method

  Extraction of shallow shear wave velocities from offshore fiber-optic cables

• Paper by: Drews, A., Schmith, T., Tian, T., Wang, Y. , Devilliers, M., Keenlyside, N.S., Yang, S., Olsen, S.M. (2024)

  The Crucial Role of the Subpolar North Atlantic for Skillful Decadal Climate Predictions

  Geophysical Research Letters

• Paper by: Irvali, N., Ninnemann, U.S., Olsen, A., Rose, N.L., Thornalley, D.J., Mjell, T.L., Counillon, F.S. (2024)

  Revising chronological uncertainties in marine archives using global anthropogenic signals: a case study on the oceanic ¹³C Suess effect

  Geochronology (GChron)

• Paper by: Evensen, G. , Vossepoel, F.C., Van Leeuwen, P.J. (2024)

  Iterative Ensemble Smoothers for Data Assimilation in Coupled Nonlinear Multiscale Models

  Monthly Weather Review

• Review-paper by: Stammer, D., Amrhein, D.E., Balmaseda, M.A., Bertino, L. , Bonavita, M., Buontempo, C., Caltabiano, N., Counillon, F.S. , Fenty, I., Ferrari, R., Fujii, Y., Gaikwad, S.S., Gentine, P., Gettelman, A., Gopalakrishnan, G., Heimback, P., Hersbach, H., Hill, C., Kobayashi, S., Köhl, A., Kushner, P.J., Mazloff, M., Nakamura, H., Penny, S.G., Silvinski, L., Tegtmeier, S., Zanna, L. (2024)

  Earth System Reanalysis in Support of Climate Model Improvements

  Bulletin of The American Meteorological Society - (BAMS)

• Paper by: Wang, X., Zhang, Z., Yu, E., Guo, C., Otterå, O.H., Counillon, F.S. (2024)

  Warm Advection as a Cause for Extreme Heat Event in North China

  Geophysical Research Letters

• Conf-paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2024)

  Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts

  Proceedings of SPE Norway Subsurface Conference

• Paper by: Mannseth, T. , Fossum, K. , Aanonsen, S.I. (2024)

  Calculating Bayesian model evidence for porous-media flow using a multilevel estimator

  Journal of Computational Physics

• Paper by: Nilsen, M.M. , Stordal, A.S. , Raanes, P.N. , Lorentzen, R.J. , Eikrem, K.S. (2024)

  Non-Gaussian Ensemble Optimization

  Mathematical Geosciences

• Paper by: Silva, E., Brajard, J. , Counillon, F.S. , Pettersson, L.H., Naustvoll, L.J. (2024)

  Probalistic models for harmful algae: application to the Norwegian coast

  Environmental Data Science (EDS)

• Paper by: Barthelemy, S.J., Counillon, F.S. , Wang, Y. (2024)

  Adaptive Covariance Hybridization for the Assimilation of SST Observations Within a Coupled Earth System Reanalysis

  Journal of Advances in Modeling Earth Systems

• Paper by: Barthelemy, S.J., Counillon, F.S. , Wang, Y. (2024)

  Adaptive Covariance Hybridization for the Assimilation of SST Observations Within a Coupled Earth System Reanalysis

  Journal of Advances in Modeling Earth Systems

• Paper by: Mannseth, T. (2024)

  Multiscale model diagnostics

  Computational Geosciences

• Paper by: Bieleninik, L., Kvestad, I., Gold, C., Stordal, A.S. , Assmus, J., Arnon, S., Elefant, C., Ettenberger, M., Gaden, T.S., Haar-Shamir, D., Håvardstun, T., Lichtensztejn, M., Mangersnes, J., Wiborg, A.N., Vederhus, B.J., Ghetti, C. (2024)

  Music Therapy in Infancy and Neurodevelopmental Outcomes in Preterm Children: A Secondary Analysis of the LongSTEP Randomized Clinical Trial

  JAMA Network Open

• Paper by: Bushuk, M., Ali, S., Bailey, D.A., Bao, Q., Batté, L., Bhatt, U.S., Blanchard-Wrigglesworth, E., Blockley, E., Cawley, G., Chi, J., Counillon, F., Coulombe, P.G., Cullather, R.I., Diebold, F.X., Dirkson, A., Exarchou, E., Göbel, M., Gregory, W., Guemas, V., Hamilton, L., He, B., Horvath, S., Ionita, M., Kay, J.E., Kim, E., Kimura, N., Kondrashov, D., Labe, Z.M., Lee, W., Lee, Y.J., Liu, C., Liu, X., Lin, Y., Liu, Y., Maslowski, W., Massonnet, F., Meier, W.N., Merryfield, W.J., Myint, H., Navarro, J.C.A., Petty, A., Qiao, F., Schweiger, A., Shu, Q., Sigmond, M., Steele, M., Stroeve, J., Sun, N., Schröder, D., Tietsche, S., Tsamados, M., Wang, K., Wang, J., Wang, W., Wang, Y. , Williamson, J., Yang, Q., Yuan, X., Zhang, J., Zhang, Y. (2024)

  Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

  Bulletin of The American Meteorological Society - (BAMS)

• Paper by: Driscoll, S., Carrassi, A., Brajard, J. , Bertino, L. , Bocquet, M., Olason, E. (2024)

  Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

  Journal of Computational Science

• Paper by: Chen, Y., Smith, P., Carrassi, A., Pasmans, I., Bertino, L. , Bocquet, M., Finn, T.S., Rampal, P., Dansereau, V.D. (2024)

  Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

  The Cryosphere

• Paper by: Palerme, C., Lavergne, T., Rusin, J., Melsom, A., Brajard, J. , Kvanum, A.F.H., Sørensen, J.A.M., Bertino, L. , Müller, M. (2024)

  Improving short-term sea ice concentration forecasts using deep learning

  The Cryosphere

• Paper by: Xia, C., Li, J., Riva, M., Luo, X. , Guadagnini, A. (2024)

  Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization

  Journal of Hydrology

• Paper by: Balakin, B., Saparbayeva, N., Struchalin, P., Rahman, T., Alyaev, S. (2024)

  Application of Machine Learning to Predict Blockage in Multiphase Flow

  Computation

• Paper by: Chen, F., Wang, Y. , Li, X. (2024)

  A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations

  IEEE Transactions on Geoscience and Remote Sensing

• Paper by: Garcia Oliva, L.C., Counillon, F.S. , Bethke, I., Keenlyside, N.S. (2024)

  Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM

  Climate Dynamics

• Paper by: Durán Moro, M., Sperrevik, A.K., Lavergne, T., Bertino, L. , Gusdal, Y., Iversen, S.C., Rusin, J. (2024)

  Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model

  The Cryosphere

• Paper by: Jeuring, J., Samuelsen, E.M., Lamers, M., Müller, M., Hjøllo, B.Å., Bertino, L. , Hagen, B. (2024)

  Map-based ensemble forecasts for maritime operations: An interactive usability assessment with decision scenarios

  Weather, Climate, and Society

• Conf-paper by: Pacis, F.J.C., Alyaev, S. , Pelfrene, G., Wiktorski, T. (2024)

  Enhancing Information Retrieval in the Drilling Domain: Zero-Shot Learning with Large Language Models for Question-Answering

  Society of Petroleum Engineers

• Paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2024)

  Ensemble history-matching workflow using interpretable SPADE-GAN geomodel

  First Break

• Paper by: Lorentzen, R.J. , Bhakta, T. , Fossum, K. , Haugen, J.A., Lie, E.O., Ndingwan, A.O., Straith, K.R. (2024)

  Ensemble-based history matching of the Edvard Grieg field using 4D seismic data

  Computational Geosciences

• Paper by: Ogilvie, A., King, L.A., Keenlyside, N.S., Counillon, F.S. , Davidsdottir, B., Einarsson, N., Gulev, S., Fan, K., Koenigk, T., Mcgoodwin, J.R., Rasmusson, M.H., Yang, S. (2024)

  Recent Ventures in Interdisciplinary Arctic Research: The ARCPATH Project

  Advances in Atmospheric Sciences

• Paper by: Richter, I., Ratnam, J.V., Martineau, P., Oettli, P., Doi, T., Ogata, T., Kataoka, T., Counillon, F.S. (2024)

  A simple statistical post-processing scheme for enhancing the skill of seasonal SST predictions in the tropics

  Monthly Weather Review

• Paper by: Umbert, M., de Andrés, E., Sanchez, M., Gabarró, C., Hoareau, N., Gonzalez-Gambau, V., Garcia-Espriu, A., Olmedo, E., Raj, R.P., Xie, J. , Catany, R. (2024)

  Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea

  Ocean Science

• Paper by: Luo, X. , Tveit, S., Gholami, R., Andersen, P.Ø. (2024)

  Underground hydrogen storage (UHS) in natural storage sites: A perspective of subsurface characterization and monitoring

  Fuel

• Paper by: Ettenberger, M., Bieleninik, L., Stordal, A.S. , Ghetti, C. (2024)

  The effect of paternal anxiety on mother-infant bonding in neonatal intensive care

  BMC Pregnancy and Childbirth

• Paper by: Saputera, D.H., Jakobsen, M., van Dongen, K.W.A., Jahani, N., Eikrem, K.S. , Alyaev, S. (2023)

  3D induction log modelling with integral equation method and domain decomposition preconditioning

  Geophysical Journal International

• Paper by: Luo, X. , Chalub Cruz, W., Zhang, X., Xiao, H. (2023)

  Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother

  Geoenergy Science and Engineering

• Paper by: Lorentzen, R.J. , Nævdal, G. , Sævareid, O., Hodneland, E., Hanson, E.A., Munthe-Kaas, A.Z. (2023)

  Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

  PLoS Computational Biology

• Paper by: Ahmed, N., Weibull, W.W., Grana, D., Bhakta, T. (2023)

  Constrained non-linear AVO inversion for dynamic reservoir changes estimation from time-lapse seismic data

  Geophysics

• Paper by: Stordal, A.S. , Lorentzen, R.J. , Fossum, K. (2023)

  Marginalized iterative ensemble smoothers for data assimilation

  Computational Geosciences

• Conf-paper by: Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2023)

  Demo: Chatbot for oil and gas data

  DigiWells Seminar

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Yang, Q. (2023)

  Seasonal prediction of NorCPM in the regional Antarctic sea ice

  11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  Workshop focusing on Atmosphere-Ocean-Ice interactions

• Conf-paper by: Bethke, I., Bilge, T.A., Chiu, P., Garcia, L., Keenlyside, N.S., Shen, M., Bonaduce, A., Counillon, F.S. , Raj, R.P., Richter, K., Bentsen, M., Gupta, A.K., Nummelin, A.H. (2023)

  Atmospheric circulation key driver of observed regional sea level change

  ICCP seminar

• Paper by: Umbert, M., De-Andrés, E., Gonçalves-Araujo, R., Gutiérrez, M., Raj, R.P., Bertino, L. , Gabarró, C., Isern-Fontanet, J. (2023)

  Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach

  Remote Sensing

• Paper by: Soni, A.K., Tripathi, J.N., Tewari, M., Sateesh, M., Singh, T. (2023)

  Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

  Atmosphere

• Paper by: Ahmed, N., Weibull, W.W., Grana, D., Bhakta, T. (2023)

  Constrained nonlinear amplitude-variation-with-offset inversion for reservoir dynamic changes estimation from time-lapse seismic data

  Geophysics

• Paper by: Luo, X. , Cruz, W.C., Zhang, X., Xiao, H. (2023)

  Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother

  Geoenergy Science and Engineering

• Paper by: Zhang, X., Xiao, H., Luo, X. , He, G. (2023)

  Combining direct and indirect sparse data for learning generalizable turbulence models

  Journal of Computational Physics

• Book-chapter by: Luo, X. , Tveit, S., Gholami, R., Andersen, P.Ø. (2023)

  Ensemble-Based Subsurface Characterization for Underground Hydrogen Storage

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Wang, L., Yao, Y., Luo, X. , Adenutsi, C.D., Zhao, G., Lai, F. (2023)

  A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

  Fuel

• Paper by: Cruz, W.C., Luo, X. , Petvipusit, K.R. (2023)

  Improving history matching performance in a 3D field-scale case study by combining tracer and production data

  Geoenergy Science and Engineering

• Paper by: Mioratina, N.T., Oliver, D. (2023)

  Quantifying prior model complexity for subsurface reservoir models

  Geoenergy Science and Engineering

• Paper by: Ba, Y., Oliver, D. (2023)

  Weighted RML using ensemble-methods for data assimilation

  arXiv.org

• Conf-paper by: Oliver, D. (2023)

  Hybrid IES data assimilation

  Foundations of Computational Mathematics

• Conf-paper by: Oliver, D. (2023)

  Uncertainty quantification for subsurface petroleum reservoirs

  PEST Conference - The Path from Data to Decisions

• Paper by: Pacis, F.J.C., Ambrus, A., Alyaev, S. , Khosravanian, R., Kristiansen, T.G., Wiktorski, T. (2023)

  Improving predictive models for rate of penetration in real drilling operations through transfer learning

  Journal of Computational Science

• Book-chapter by: Pacis, F.J.C., Wiktorski, T., Ambrus, A., Alyaev, S. (2023)

  Exploration of strategies to improve continual learning from irregular sequential drilling data

  The American Society of Mechanical Engineers (ASME)

• Conf-paper by: Alyaev, S. (2023)

  DISTINGUISH from the depth of detection to the probabilistic distance of prediction

  DigiWells Seminar

• Conf-paper by: Muhammad, R.B., Srivastava, A., Alyaev, S. , Bratvold, R.B., Tartakovsky, D.M. (2023)

  Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making

  DigiWells Seminar

• Paper by: Jahani, N., Alyaev, S. , Ambia, J., Fossum, K. , Suter, E.C., Torres-Verdin, C. (2023)

  Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow

  Petrophysics

• Paper by: Aanonsen, S.I., Fossum, K. , Mannseth, T. (2023)

  Bayesian model evaluation for multiple scenarios

  Computational Geosciences

• Conf-paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2023)

  Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel

  Fifth EAGE Conference on Petroleum Geostatistics

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2023)

  Sequential multilevel assimilation of inverted seismic data

  Computational Geosciences

• Book-chapter by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2023)

  Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel (Extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Ghetti, C., Gaden, T.S., Bieleninik, L., Kvestad, I., Assmus, J., Stordal, A.S. , Sanchez, L.F.A., Arnon, S., Dulsrud, J., Elefant, C., Epstein, S., Ettenberger, M., Glosli, H., Konieczna-Nowak, L., Lichtensztejn, M., Lindvall, M.W., Mangersnes, J., Fernández, L.D.M., Røed, C.J., Saá, G., Roy, B.V., Vederhus, B.J., Gold, C. (2023)

  Effect of Music Therapy on Parent-Infant Bonding Among Infants Born Preterm: A Randomized Clinical Trial

  JAMA Network Open

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C. (2023)

  An organ deformation model using Bayesian inference to combine population and patient-specific data

  Physics in Medicine and Biology

• Paper by: Bauer-Rusek, S., Shalit, S., Yakobson, D., Levkovitz, O., Ghetti, C., Gold, C., Stordal, A.S. , Arnon, S. (2023)

  Music therapy and weight gain in preterm infants: Secondary analysis of the randomized controlled LongSTEP trial

  Journal of Pediatric Gastroenterology and Nutrition - JPGN

• Paper by: Gaden, T.S., Gold, C., Assmus, J., Kvestad, I., Stordal, A.S. , Bieleninik, L., Ghetti, C. (2023)

  Treatment fidelity in a pragmatic clinical trial of music therapy for premature infants and their parents: the LongSTEP study

  Trials

• Paper by: Zhang, Y., Stordal, A.S. , Lorentzen, R.J. (2023)

  A natural Hessian approximation for ensemble based optimization

  Computational Geosciences

• Paper by: Stordal, A.S. , Lorentzen, R.J. , Fossum, K. (2023)

  Marginalized iterative ensemble smoothers for data assimilation

  Computational Geosciences

• Conf-paper by: Raanes, P.N. (2023)

  "Ensemblized" linear least squares (LLS)

  Non-Gaussian Data Assimilation

• Conf-paper by: Raanes, P.N. (2023)

  "Ensemblized" linear least squares (LLS)

  CoRea annual meeting

• Paper by: Saputera, D.H., Jakobsen, M., Dongen, K.W.A.v., Jahani, N., Eikrem, K.S. , Alyaev, S. (2023)

  3-D induction log modelling with integral equation method and domain decomposition pre-conditioning

  Geophysical Journal International

• Conf-paper by: Nilsen, M.M. , Stordal, A.S. , Lorentzen, R.J. , Eikrem, K.S. , Raanes, P.N. (2023)

  Non-Gaussian Ensemble Optimization (Presentation)

  EnKF Workshop

• Conf-paper by: Saputera, D.H., Jakobsen, M., Alyaev, S. , Jahani, N., Eikrem, K.S. , Dongen, K.W.A.v. (2023)

  3D Modeling and Inversion of Induction Logs.​ 2023 Highlights

  DigiWells Seminar

• Conf-paper by: Stordal, A.S. , Nilsen, M.M. , Raanes, P.N. , Eikrem, K.S. , Fossum, K. , Lorentzen, R.J. (2023)

  Non-Gaussian Ensemble Optimization and Likelihoods

  Visit at TU Delft

• Book-chapter by: Saputera, D.H., Jakobsen, M., Jahani, N., Alyaev, S. , Eikrem, K.S. , Dongen, K.W.A.v. (2023)

  Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Eikrem, K.S. , Lorentzen, R.J. , Ricardo, F., Stordal, A.S. , Alexandre, G. (2023)

  Offshore wind farm layout optimization using ensemble methods

  The offshore wind conference Science Meets Industry

• Paper by: Eikrem, K.S. , Lorentzen, R.J. , Faria, R., Stordal, A.S. , Godard, A. (2023)

  Offshore wind farm layout optimization using ensemble methods

  Renewable Energy

• Conf-paper by: Nilsen, M.M. , Stordal, A.S. , Lorentzen, R.J. , Eikrem, K.S. , Raanes, P.N. (2023)

  Non-Gaussian Ensemble Optimization (presentation)

  CSSR Partner Workshop 2023

• Paper by: Nævdal, G. , Evje, S. (2023)

  Can cancer cells inform us about the tumor microenvironment?

  Journal of Computational Physics

• Paper by: Xiang, K., Jakobsen, M., Eikrem, K.S. , Nævdal, G. (2023)

  A matrix-free variant of the distorted Born iterative method for seismic full-waveform inversion

  Geophysical Prospecting

• Paper by: Evje, S., Skadsem, H.J., Nævdal, G. (2023)

  Identification of nonlinear conservation laws for multiphase flow based on Bayesian inversion

  Nonlinear dynamics

• Paper by: Lorentzen, R.J. , Nævdal, G. , Sævareid, O., Hodneland, E., Hanson, E.A., Munthe-Kaas, A.Z. (2023)

  Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

  PLoS Computational Biology

• Paper by: Korosov, A., Rampal, P., Ying, Y. , Olason, E., Williams, T. (2023)

  Towards improving short-term sea ice predictability using deformation observations

  The Cryosphere

• Conf-paper by: Ying, Y. (2023)

  Assimilating observations of deformation to improve short-term ensemble forecasts of sea ice features

  EnKF Workshop

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  SYSU visit

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Yang, Q. (2023)

  Seasonal prediction of NorCPM in the regional Antarctic sea ice

  International Symposium on Sea Ice across Temporal and Spatial Scales

• Conf-paper by: Wang, Y. (2023)

  Seasonal sea ice forecasting

  NZC summer school

• Conf-paper by: Wang, Y. (2023)

  Key challenges in Arctic climate sciences and services

  Science Opportunities on Polar Connect workshop

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  IAP seminar

• Paper by: Min, C., Zhou, X., Luo, H., Yang, Y., Wang, Y. , Zhang, J., Yang, Q. (2023)

  Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades

  Advances in Atmospheric Sciences

• Paper by: Lin, Y., Yang, Q., Li, X., Yang, C., Wang, Y. , Wang, J., Liu, J., Chen, S., Liu, J. (2023)

  Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction

  Frontiers in Marine Science

• Conf-paper by: Wang, Y. , Yang, Q. (2023)

  Progress report on Towards skillful subseasonal-to-seasonal sea ice prediction

  4SICE project annual meeting

• Paper by: Yang, Q., Xiu, Y., Luo, H., Wang, J., Landy, J.C., Bushuk, M., Wang, Y. , Liu, J., Chen, D. (2023)

  Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation

  Environmental Research Letters

• Paper by: Chi, Z., Chen, F., Wang, Y. , Zhang, C., Peng, G. (2023)

  How well do 13 satellite-derived precipitation products capture the temporal and spatial variations of precipitation over Chinese mainland?

  International Journal of Remote Sensing

• Paper by: Lemmouchi, F., Cuesta, J., Lachatre, M., Brajard, J. , Coman, A., Beekman, M., Derognat, C. (2023)

  Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations

  Remote Sensing

• Paper by: Liu, G., Bracco, A., Brajard, J. (2023)

  Systematic Bias Correction in Ocean Mesoscale Forecasting Using Machine Learning

  Journal of Advances in Modeling Earth Systems

• Paper by: Correa, K., Machu, E., Brajard, J. , Diouf, D., Sall, S.M., Demarcq, H. (2023)

  Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables

  Remote Sensing

• PhD-thesis by: Silva, E., Counillon, F.S. , Brajard, J. , Keenlyside, N.S. (2023)

  Prediction of Harmful Algae Blooms Impacting Shellfish Farms in Norway

  Universitetet i Bergen

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. (2023)

  Combination of machine learning and dynamical prediction system for sea ice prediction: proof of concept

  4SICE project annual meeting

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. (2023)

  Using machine learning to improve dynamical predictions in a coupled model

  EGU2023

• Review-paper by: Cheng, S., Quilodran-Casas, C., Ouala, S., Farchi, A., Liu, C., Tandeo, P., Fablet, R., Lucor, D., Iooss, B., Brajard, J. , Xiao, D., Janjic, T., Ding, W., Guo, Y., Carrassi, A., Bocquet, M., Arcucci, R. (2023)

  Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

  IEEE/CAA Journal of Automatica Sinica

• Conf-paper by: Counillon, F.S. , Lyu, A. (2023)

  Data assimilation for merging paleo proxy and models

  BCCR Workshop: Paleo Paleo-Proxies and Dynamics: Language Class

• Conf-paper by: Counillon, F.S. (2023)

  Data assimilation methods for climate science

  9th Nansen-Zhu Summer School : Arctic-Eurasian Climate Change and Variability

• Paper by: Counillon, F.S. , Keenlyside, N.S., Wang, S., Devilliers, M., Gupta, A.K., Koseki, S., Shen, M. (2023)

  Framework for an Ocean-Connected Supermodel of the Earth System

  Journal of Advances in Modeling Earth Systems

• Conf-paper by: Counillon, F.S. , Wang, Y. , Bethke, I., Nair, A.S., Keenlyside, N.S., Garcia, L. (2023)

  Long coupled Earth System reanalysis with a focus on ocean and sea ice 

  2023 ECMWF Annual Seminar on Earth System Reanalysis

• Conf-paper by: Wang, Y. , Counillon, F.S. (2023)

  Novel data assimilation method for long-coupled reanalysis

  NERSC Scientific Council Meeting

• Conf-paper by: Wang, Y. , Counillon, F.S. (2023)

  Hindcast drift in different model and assimilation versions: which version should be used for the CoRea project?

  BCPU Annual Meeting

• Conf-paper by: Fransner, S.F.K., Olsen, A., Årthun, M., Counillon, F.S. , Tjiputra, J., Samuelsen, A., Keenlyside, N.S. (2023)

  Multiyear phytoplankton predictability in the Barents Sea

  The Arctic Science Summit Week

• Conf-paper by: Silva, E., Brajard, J. , Counillon, F.S. , Pettersson, L.H., Naustvoll, L.J. (2023)

  Probabilistic Models for Harmful Algae Detection: Application to the Norwegian Coast

  20th International Conference on Harmful Algae

• Conf-paper by: Counillon, F.S. , Keenlyside, N.S., Koseki, S., Gupta, A.K., Schevenhoven, F.J. (2023)

  Supermodeling for improving the representation of climate variability

  WCRP Workshop on Improving climate models and projections using observation

• Conf-paper by: Counillon, F.S. , Wang, Y. , Bethke, I., Keenlyside, N.S., Garcia, L. (2023)

  Climate prediction with the Norwegian Climate Prediction Model (NorCPM)

  Nansen-Zhu International Research Centre 20 year anniversary

• Paper by: Fransner, S.F.K., Olsen, A., Årthun, M., Counillon, F.S. , Tjiputra, J., Samuelsen, A., Keenlyside, N.S. (2023)

  Phytoplankton abundance in the Barents Sea is predictable up to five years in advance

  Communications Earth & Environment

• Conf-paper by: Williams, N., Wang, Y. , Counillon, F.S. (2023)

  Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS

  4SICE Annual Meeting

• Conf-paper by: Counillon, F.S. , Wang, Y. , Williams, N., Bethke, I., Keenlyside, N.S. (2023)

  Climate prediction in Norway “Bjerknes Climate Prediction Unit”

  2023 SASIP annual meeting took place in Bergen (27-30 June 2023)

• Conf-paper by: Counillon, F.S. , Keenlyside, N.S., Schevenhoven, F.J., Gupta, A.K. (2023)

  Supermodeling for improving the representation of climate variability

  2023 SIAM Conference on Mathematical & Computational Issues in the Geosciences

• Paper by: Camargo, D.A.R., Counillon, F.S. , Keenlyside, N.S. (2023)

  On dynamical downscaling of ENSO-induced oceanic anomalies off Baja California Peninsula, Mexico: role of the air-sea heat flux

  Frontiers in Marine Science

• Paper by: Brajard, J. , Counillon, F.S. , Wang, Y. , Kimmritz, M. (2023)

  Enhancing Seasonal Forecast Skills by Optimally Weighting the Ensemble from Fresh Data

  Weather and forecasting

• Paper by: Schevenhoven, F.J., Keenlyside, N.S., Counillon, F.S. , Carrassi, A., Chapman, W., Devilliers, M., Gupta, A.K., Koseki, S., Selten, F., Shen, M., Wang, S., Weiss, J.B., Wiegerinck, W., Duane, G. (2023)

  Supermodeling: Improving Predictions with an Ensemble of Interacting Models

  Bulletin of The American Meteorological Society - (BAMS)

• Book-chapter by: Keenlyside, N.S., OGILVIE, A.E., Yang, S., Koenigk, T., Counillon, F.S. (2023)

  Climate and marine-ecosystem intelligence for a green and competitive Nordic Region

  NordForsk

• Conf-paper by: Wang, Y. , Counillon, F.S. , Barthelemy, S.J. (2023)

  Recent developments of NorCPM in climate reanalysis

  BCCR Geilo Getaway

• Conf-paper by: Wang, Y. , Counillon, F.S. (2023)

  Recent developments of NorCPM in long-coupled climate reanalysis

  NZC annual meeting 2023

• Conf-paper by: Wang, Y. , Counillon, F.S. , Ying, Y. , Barthelemy, S.J. (2023)

  Offline ensemble Kalman smoother for climate reanalysis

  CoRea 2023 annual meeting

• Paper by: Silva, E., Counillon, F.S. , Brajard, J. , Pettersson, L.H., Naustvoll, L.J. (2023)

  Forecasting harmful algae blooms: Application to Dinophysis acuminata in northern Norway

  Harmful Algae

• Conf-paper by: Evensen, G. (2023)

  Learnings from petroleum reservoir history matching

  ISDA 2023: International Symposium on Data Assimilation

• Conf-paper by: Evensen, G. (2023)

  On the Formulation of the Ensemble History-Matching Problem

  SPE Reservoir Simulation Conference

• Paper by: Popov, A.A., Sandu, A., Nino-Ruiz, E.D., Evensen, G. (2023)

  A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering

  Tellus A: Dynamic Meteorology and Oceanography

• Conf-paper by: Evensen, G. (2023)

  Consistent ensemble formulation and solution of the history-matching problem

  EnKF Workshop

• Paper by: Schemm, S., Grund, D., Knutti, R., Wernli, H., Ackermann, M., Evensen, G. (2023)

  Learning from weather and climate science to prepare for a future pandemic

  Proceedings of the National Academy of Sciences of the United States of America (PNAS)

• Conf-paper by: Evensen, G. (2023)

  Impact of ensemble size and the need for localization in ensemble history matching

  EAGE Petroleum Geostatistics

• Conf-paper by: Evensen, G. (2023)

  Ensemble Data Assimilation for Complex Multiphysics Models

  SIAM Geosciences 2023

• Paper by: Qin, Y., Yu, Q., Wan, L., Liu, Y., Mo, H., Wang, Y., Meng, S., Wu, X., Sui, D., Xie, J. (2023)

  A Global-Ocean-Data Assimilation for Operational Oceanography

  Journal of Marine Science and Engineering (JMSE)

• Paper by: Gabarró, C., Hughes, N., Wilkinson, J., Bertino, L. , Bracher, A., Diehl, T., Dierking, W.F.O., Gonzalez-Gambau, V., Lavergne, T., Madurell, T., Malnes, E., Wagner, P.M. (2023)

  Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps

  Frontiers in Remote Sensing

• Paper by: Ciliberti, S.A., Fanjul, E.A., Pearlman, J., Wilmer-Becker, K., Bahurel, P., Ardhuin, F., Arnaud, A., Bell, M., Berthou, S., Bertino, L. , Capet, A., Chassignet, E., Ciavatta, S., Cirano, M., Clementi, E., Cossarini, G., Coro, G., Corney, S., Davidson, F., Drevillon, M., Drillet, Y., Dussurget, R., Serafy, G.E., Fennel, K., Sotillo, M.G., Heimback, P., Hernandez, F., Hogan, P., Hoteit, I., Joseph, S., Josey, S.A., Traon, P.L., Libralato, S., Mancini, M., Matte, P., Regan, H., Romero, L., Schiller, A., Siddorn, J., Staneva, J., Thomas-Courcoux, C., Tonani, M., Garcia-Valdecasa, J.M., Veitch, J., Schuckmann, K.v., Wan, L., Wilkin, J., Zufic, R. (2023)

  Evaluation of operational ocean forecasting systems from the perspective of the users and the experts

  State of the Planet (SP)

• Paper by: Mangini, F., Bonaduce, A., Chafik, L., Raj, R.P., Bertino, L. (2023)

  Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast

  Scientific Reports

• Paper by: Ying, Y. , Anderson, J., Bertino, L. (2023)

  Improving Vortex Position Accuracy with a New Multiscale Alignment Ensemble Filter

  Monthly Weather Review

• Conf-paper by: Williams, T., Korosov, A., Bertino, L. , Olason, E. (2023)

  Status and prospects for the neXtSIM-F CMEMS operational forecast

  EGU General Assembly

• Conf-paper by: Xie, J. , Bertino, L. (2023)

  A new version of the ocean and sea-ice Arctic reanalysis

  EGU General Assembly

• Paper by: Mauran, S., Mouysset, S., Simon, E., Bertino, L. (2023)

  A Kernel Extension of the Ensemble Transform Kalman Filter

  Lecture Notes in Computer Science (LNCS)

• Paper by: Xie, J. , Raj, R.P., Bertino, L. , Martínez, J., Gabarró, C., Catany, R. (2023)

  Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis

  Ocean Science

• Paper by: Cheng, S., Chen, Y., Aydogdu, A., Bertino, L. , Carrassi, A., Rampal, P., Jones, C.K. (2023)

  Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020

  The Cryosphere

• Paper by: Stordal, A.S. , Lorentzen, R.J. , Fossum, K. (2023)

  Marginalized iterative ensemble smoothers for data assimilation

  Computational Geosciences

• Conf-paper by: Luo, X. , Tveit, S., Gholami, R., Andersen, P.Ø. (2023)

  Ensemble-Based Subsurface Characterization for Underground Hydrogen Storage

  European Association of Geoscientists and Engineers (EAGE)

• PhD-thesis by: Silva, E., Counillon, F.S. , Brajard, J. , Keenlyside, N.S. (2023)

  Prediction of Harmful Alage Blooms impacting Shellfish Farms in Norway

  Universitetet i Bergen

• Paper by: Bauer-Rusek, S., Shalit, S., Yakobson, D., Levkovitz, O., Ghetti, C., Gold, C., Stordal, A.S. , Arnon, S. (2023)

  Music therapy and weight gain in preterm infants: Secondary analysis of the randomized controlled LongSTEP trial

  Journal of Pediatric Gastroenterology and Nutrition - JPGN

• Conf-paper by: Luo, X. , Tveit, S., Gholami, R., Andersen, P.Ø. (2023)

  Ensemble-Based Subsurface Characterization for Underground Hydrogen Storage

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Fossum, K. , Alyaev, S. , Elsheikh, A.H. (2023)

  Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel (Extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Korosov, A., Rampal, P., Ying, Y. , Olason, E., Williams, T. (2023)

  Towards improving short-term sea ice predictability using deformation observations

  The Cryosphere

• Paper by: Lin, Y., Yang, Q., Li, X., Yang, C., Wang, Y. , Wang, J., Liu, J., Chen, S., Liu, J. (2023)

  Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction

  Frontiers in Marine Science

• Paper by: Chi, Z., Chen, F., Wang, Y. , Zhang, C., Peng, G. (2023)

  How well do 13 satellite-derived precipitation products capture the temporal and spatial variations of precipitation over Chinese mainland?

  International Journal of Remote Sensing

• Paper by: Liu, G., Bracco, A., Brajard, J. (2023)

  Systematic Bias Correction in Ocean Mesoscale Forecasting Using Machine Learning

  Journal of Advances in Modeling Earth Systems

• Paper by: Schevenhoven, F.J., Keenlyside, N.S., Counillon, F.S. , Gupta, A.K., Koseki, S., Shen, M. (2023)

  Supermodeling Improving Predictions with an Ensemble of Interacting Models

  Bulletin of The American Meteorological Society - (BAMS)

• Book-chapter by: Keenlyside, N.S., OGILVIE, A.E., Yang, S., Koenigk, T., Counillon, F.S. (2023)

  Climate and marine-ecosystem intelligence for a green and competitive Nordic Region

  NordForsk Report Fast Track To Vision 2030

• Paper by: Qin, Y., Yu, Q., Wan, L., Liu, Y., Mo, H., Wang, Y., Meng, S., Wu, X., Sui, D., Xie, J. (2023)

  A Global-Ocean-Data Assimilation for Operational Oceanography

  Journal of Marine Science and Engineering

• Paper by: Ciliberti, S.A., Fanjul, E.A., Pearlman, J., Wilmer-Becker, K., Bahurel, P., Ardhuin, F., Arnaud, A., Bell, M., Berthou, S., Bertino, L. , Capet, A., Chassignet, E., Ciavatta, S., Cirano, M., Clementi, E., Cossarini, G., Coro, G., Corney, S., Davidson, F., Drevillon, M., Drillet, Y., Dussurget, R., El Serafy, G., Fennel, K., Sotillo, M.G., Heimback, P., Hernandez, F., Hogan, P., Hoteit, I., Joseph, S., Josey, S.A., Le Traon, P., Libralato, S., Mancini, M., Matte, P., Regan, H., Romero, L., Schiller, A., Siddorn, J., Staneva, J., Thomas-Courcoux, C., Tonani, M., Garcia-Valdecasa, J.M., Veitch, J., Schuckmann, K.v., Wan, L., Wilkin, J., Zufic, R. (2023)

  Evaluation of operational ocean forecasting systems from the perspective of the users and the experts

  State of the Planet (SP)

• Paper by: Wang, L., Yao, Y., Luo, X. , Adenutsi, C.D., Zhao, G., Lai, F. (2023)

  A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

  Fuel

• Conf-paper by: Pacis, F.J.C., Wiktorski, T., Ambrus, A., Alyaev, S. (2023)

  Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

  The American Society of Mechanical Engineers (ASME)

• Paper by: Pacis, F.J.C., Ambrus, A., Alyaev, S. , Khosravanian, R., Kristiansen, T.G., Wiktorski, T. (2023)

  Improving predictive models for rate of penetration in real drilling operations through transfer learning

  Journal of Computational Science

• Paper by: Aanonsen, S.I., Fossum, K. , Mannseth, T. (2023)

  Bayesian model evaluation for multiple scenarios

  Computational Geosciences

• Conf-paper by: Saputera, D.H., Jakobsen, M., Jahani, N., Alyaev, S. , Eikrem, K.S. , van Dongen, K.W.A. (2023)

  Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Evje, S., Skadsem, H.J., Nævdal, G. (2023)

  Identification of nonlinear conservation laws for multiphase flow based on Bayesian inversion

  Nonlinear dynamics

• Paper by: Nævdal, G. , Evje, S. (2023)

  Can cancer cells inform us about the tumor microenvironment?

  Journal of Computational Physics

• Paper by: Yang, Q., Xiu, Y., Luo, H., Wang, J., Landy, J.C., Bushuk, M., Wang, Y. , Liu, J., Chen, D. (2023)

  Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation

  Environmental Research Letters

• Paper by: Rivas Camargo, D.A., Counillon, F.S. , Keenlyside, N.S. (2023)

  On dynamical downscaling of ENSO-induced oceanic anomalies off Baja California Peninsula, Mexico: role of the air-sea heat flux

  Frontiers in Marine Science

• Paper by: Brajard, J. , Counillon, F.S. , Wang, Y. , Kimmritz, M. (2023)

  Enhancing Seasonal Forecast Skills by Optimally Weighting the Ensemble from Fresh Data

  Weather and forecasting

• Paper by: Mangini, F., Bonaduce, A., Chafik, L., Raj, R.P., Bertino, L. (2023)

  Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast

  Scientific Reports

• Paper by: Soni, A.K., Tripathi, J.N., Tewari, M., Sateesh, M., Singh, T. (2023)

  Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

  Atmosphere

• Paper by: Zhang, X., Xiao, H., Luo, X. , He, G. (2023)

  Combining direct and indirect sparse data for learning generalizable turbulence models

  Journal of Computational Physics

• Paper by: Chalub Cruz, W., Luo, X. , Petvipusit, K.R. (2023)

  Improving history matching performance in a 3D field-scale case study by combining tracer and production data

  Geoenergy Science and Engineering

• Paper by: Ghetti, C., Gaden, T.S., Bieleninik, L., Kvestad, I., Assmus, J., Stordal, A.S. , Aristizabal Sanchez, L.F., Arnon, S., Dulsrud, J., Elefant, C., Epstein, S., Ettenberger, M., Glosli, H., Konieczna-Nowak, L., Lichtensztejn, M., Lindvall, M.W., Mangersnes, J., Murcia Fernández, L.D., Røed, C.J., Saá, G., Van Roy, B., Vederhus, B.J., Gold, C. (2023)

  Effect of Music Therapy on Parent-Infant Bonding Among Infants Born Preterm: A Randomized Clinical Trial

  JAMA Network Open

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C. (2023)

  An organ deformation model using Bayesian inference to combine population and patient-specific data

  Physics in Medicine and Biology

• Paper by: Eikrem, K.S. , Lorentzen, R.J. , Faria, R., Stordal, A.S. , Godard, A. (2023)

  Offshore wind farm layout optimization using ensemble methods

  Renewable Energy

• Paper by: Correa, K., Machu, E., Brajard, J. , Diouf, D., Sall, S.M., Demarcq, H. (2023)

  Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables

  Remote Sensing

• Review-paper by: Cheng, S., Quilodran-Casas, C., Ouala, S., Farchi, A., Liu, C., Tandeo, P., Fablet, R., Lucor, D., Iooss, B., Brajard, J. , Xiao, D., Janjic, T., Ding, W., Guo, Y., Carrassi, A., Bocquet, M., Arcucci, R. (2023)

  Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

  IEEE/CAA Journal of Automatica Sinica

• Paper by: Fransner, S.F.K., Olsen, A., Årthun, M., Counillon, F.S. , Tjiputra, J., Samuelsen, A., Keenlyside, N.S. (2023)

  Phytoplankton abundance in the Barents Sea is predictable up to five years in advance

  Communications Earth & Environment

• Paper by: Silva, E., Counillon, F.S. , Brajard, J. , Pettersson, L.H., Naustvoll, L.J. (2023)

  Forecasting harmful algae blooms: Application to Dinophysis acuminata in northern Norway

  Harmful Algae

• Paper by: Popov, A.A., Sandu, A., Nino-Ruiz, E.D., Evensen, G. (2023)

  A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering

  Tellus A: Dynamic Meteorology and Oceanography

• Paper by: Mauran, S., Mouysset, S., Simon, E., Bertino, L. (2023)

  A Kernel Extension of the Ensemble Transform Kalman Filter

  Lecture Notes in Computer Science (LNCS)

• Paper by: Ying, Y. , Anderson, J., Bertino, L. (2023)

  Improving Vortex Position Accuracy with a New Multiscale Alignment Ensemble Filter

  Monthly Weather Review

• Paper by: Umbert, M., De-Andrés, E., Gonçalves-Araujo, R., Gutiérrez, M., Raj, R.P., Bertino, L. , Gabarró, C., Isern-Fontanet, J. (2023)

  Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach

  Remote Sensing

• Paper by: Counillon, F.S. , Keenlyside, N.S., Wang, S., Devilliers, M., Gupta, A.K., Koseki, S., Shen, M. (2023)

  Framework for an Ocean-Connected Supermodel of the Earth System

  Journal of Advances in Modeling Earth Systems

• Paper by: Schemm, S., Grund, D., Knutti, R., Wernli, H., Ackermann, M., Evensen, G. (2023)

  Learning from weather and climate science to prepare for a future pandemic

  Proceedings of the National Academy of Sciences of the United States of America

• Paper by: Cheng, S., Chen, Y., Aydogdu, A., Bertino, L. , Carrassi, A., Rampal, P., Jones, C.K. (2023)

  Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020

  The Cryosphere

• Paper by: Gaden, T.S., Gold, C., Assmus, J., Kvestad, I., Stordal, A.S. , Bieleninik, L., Ghetti, C. (2023)

  Treatment fidelity in a pragmatic clinical trial of music therapy for premature infants and their parents: the LongSTEP study

  Trials

• Paper by: Lemmouchi, F., Cuesta, J., Lachatre, M., Brajard, J. , Coman, A., Beekman, M., Derognat, C. (2023)

  Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations

  Remote Sensing

• Paper by: Xie, J. , Pappukutty, R.R., Bertino, L. , Martínez, J., Gabarró, C., Catany, R. (2023)

  Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis

  Ocean Science

• Paper by: Gabarró, C., Hughes, N., Wilkinson, J., Bertino, L. , Bracher, A., Diehl, T., Dierking, W.F.O., Gonzalez-Gambau, V., Lavergne, T., Madurell, T., Malnes, E., Wagner, P.M. (2023)

  Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps

  Frontiers in Remote Sensing

• Paper by: Jahani, N., Alyaev, S. , Ambia, J., Fossum, K. , Suter, E.C., Torres-Verdin, C. (2023)

  Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow

  Petrophysics

• Paper by: Xiang, K., Jakobsen, M., Eikrem, K.S. , Nævdal, G. (2023)

  A matrix-free variant of the distorted Born iterative method for seismic full-waveform inversion

  Geophysical Prospecting

• Paper by: Min, C., zhou, X., Luo, H., Yang, Y., Wang, Y. , Zhang, J., Yang, Q. (2023)

  Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades

  Advances in Atmospheric Sciences

• Paper by: Zhang, Y., Stordal, A.S. , Lorentzen, R.J. (2023)

  A natural Hessian approximation for ensemble based optimization

  Computational Geosciences

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2023)

  Sequential multilevel assimilation of inverted seismic data

  Computational Geosciences

• Paper by: Ahmed, N., Weibull, W.W., Quintal, B., Grana, D., Bhakta, T. (2022)

  Frequency-dependent AVO inversion applied to physically based models for seismic attenuation

  Geophysical Journal International

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N. (2022)

  Demo: Sequential prediction with noisy GR log and naïve ROP prediction

  DigiWells technical meeting

• Book-chapter by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)

  Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

  SPWLA

• Book-chapter by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10,000 geosteering decisions?

  Society of Petroleum Engineers

• Conf-paper by: Lorentzen, R.J. , Oguntola, M.B. (2022)

  Drainage optimization

  Energy Norway 2022

• Paper by: Nævdal, G. , Rofstad, E.K., Søreide, K., Evje, S. (2022)

  Fluid-sensitive migration mechanisms predict association between metastasis and high interstitial fluid pressure in pancreatic cancer

  Journal of Biomechanics

• Book-chapter by: Bertino, L. , Blockley, E., Johannessen, J.A., Olason, E. (2022)

  Sea Ice Modelling

  IOC-UNESCO

• Paper by: Tewari, M., Kishtawal, C., Moriarty, V., Pallav, R., Singh, T. , Zhang, L., Treinish, L., Tewari, K. (2022)

  Improved seasonal prediction of harmful algal blooms in Lake Erie using large-scale climate indices

  Communications Earth & Environment

• Paper by: Ahmed, N., Weibull, W.W., Quintal, B., Grana, D., Bhakta, T. (2022)

  Frequency-dependent AVO inversion applied to physically based models for seismic attenuation

  Geophysical Journal International

• Conf-paper by: Lien, M.Ø. , Ködel, U., Candela, T., Mellors, R., Pitarka, A., White, J.A., Bhakta, T. , Mannseth, T. , Heggelund, Y., Midttømme, K. (2022)

  New Developments Within Fiberoptic and Gravimetric Monitoring of Geological CO2 Storage

  ACT2 DigiMon Webinar

• Paper by: Lie, E.O., Bhakta, T. , Sandø, I. (2022)

  Inclusion of seismic attributes in reservoir ensemble coverage analysis

  The Leading Edge

• Paper by: Zhang, X., Xiao, H., Luo, X. , He, G. (2022)

  Ensemble Kalman method for learning turbulence models from indirect observation data

  Journal of Fluid Mechanics

• Paper by: Cruz, W.C., Luo, X. , Petvipusit, K.R. (2022)

  Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study

  Energies

• Paper by: Luo, X. , Cruz, W.C. (2022)

  Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother

  Computational Geosciences

• Paper by: Ranazzi, P.H., Luo, X. , Sampaio, M.A. (2022)

  Improving pseudo-optimal Kalman-gain localization using the random shuffle method

  Journal of Petroleum Science and Engineering

• Book-chapter by: Luo, X. , Petvipusit, K.R., Cruz, W.C. (2022)

  Joint History Matching of Production and Tracer Data Through an Iterative Ensemble Smoother: A 3D Field-Scale Case Study

  International Petroleum Technology Conference

• Paper by: Luo, X. , Xia, C. (2022)

  Continuous Hyper-parameter OPtimization (CHOP) in an ensemble Kalman filter

  Frontiers in Applied Mathematics and Statistics

• Conf-paper by: Mioratina, T.N., Oliver, D. (2022)

  Quantifying Prior Model Complexity for Subsurface Reservoir Models

  European Conference on the Mathematics of Geological Reservoirs 2022

• Paper by: Oliver, D. (2022)

  Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models

  Mathematical Geosciences

• Conf-paper by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10,000 geosteering decisions?

  URTeC

• Book-chapter by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T. (2022)

  Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

  The American Society of Mechanical Engineers (ASME)

• Paper by: Alyaev, S. , Elsheikh, A. (2022)

  Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

  Earth and Space Science

• Conf-paper by: Rammay, M.H., Alyaev, S. (2022)

  Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error

  83rd EAGE Annual Conference & Exhibition

• Paper by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T. (2022)

  Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

  Lecture Notes in Computer Science (LNCS)

• Conf-paper by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T. (2022)

  Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

  ASME 41st International Conference on Ocean, Offshore and Arctic Engineering

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H. (2022)

  Predicting likely stratigraphy realizations from shallow logs with AI

  NFES Monthly Technical Meeting

• Book-chapter by: Rammay, M.H., Alyaev, S. (2022)

  Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)

  Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

  63d SPWLA Annual Symposium

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H. (2022)

  AI‐based multi‐modal prediction of stratigraphy to inform drilling performance

  Annual seminar SFI DigiWells

• Conf-paper by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T. (2022)

  Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

  INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022

• Conf-paper by: Pacis, F.J.C., Wiktorski, T., Alyaev, S. , Ambrus, A., Khosravanian, R., Kristiansen, T.G. (2022)

  Exploring transfer learning for ROP prediction on the NCS

  Annual seminar SFI DigiWells

• Paper by: Rammay, M.H., Alyaev, S. , Elsheikh, A. (2022)

  Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements

  Geophysical Journal International

• Conf-paper by: Rammay, M.H., Alyaev, S. , Bratvold, R.B., Larsen, D.S., Saint, C. (2022)

  Real-time estimation of geological layers' profiles in an anisotropic environment while accounting for model-error: A case study on the Goliat field

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Conf-paper by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10000 geosteering decisions?

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Conf-paper by: Fossum, K. (2022)

  Multilevel Ensemble-Based Data Assimilation for Subsurface Flow Problems

  SIAM Conference on Uncertainty Quantification (UQ22)

• Book-chapter by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2022)

  Towards Application of Multilevel Data Assimilation in Realistic Reservoir History-Matching Problems

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2022)

  Iterative multilevel assimilation of inverted seismic data

  Computational Geosciences

• Conf-paper by: Alyaev, S. , Jahani, N., Fossum, K. , Tveranger, J., Rammay, M.H., Larsen, D.S., Saint, C., Bratvold, R.B., Elsheikh, A.H. (2022)

  Geosteering results: It's time to understand where the bit is heading

  Annual seminar SFI DigiWells

• Conf-paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2022)

  Accounting for Multilevel Modeling Error in Multilevel Data Assimilation

  SIAM Uncertainty Quantification 2022

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H. (2022)

  Verification of a real-time ensemble-based method for updating earth model based on GAN

  Journal of Computational Science

• Paper by: Jahani, N., Garrido, J.A., Alyaev, S. , Fossum, K. , Suter, E.C., Torres-Verdin, C. (2022)

  Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering

  Geophysics

• Conf-paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H. (2022)

  Verification of a real-time method for updating the geosteering earth model based on GAN

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Paper by: Gaden, T.S., Ghetti, C., Kvestad, I., Bieleninik, L., Stordal, A.S. , Assmus, J., Shmuel, A., Elefant, C., Epstein, S., Ettenberger, M., Lichtensztejn, M., Lindvall, M.W., Mangersnes, J., Røed, C.J., Vederhus, B.J., Gold, C. (2022)

  Short-term Music Therapy for Families With Preterm Infants: A Randomized Trial

  Pediatrics

• Book-chapter by: Sandve, T.H., Sævareid, O., Lomeland, F., Lorentzen, R.J. (2022)

  History Matching Field Scale Model Using LET Based Relative Permeability

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Oguntola, M.B., Lorentzen, R.J. (2022)

  Robust Value Quantification of Enhanced Oil Recovery Methods Using Ensemble-Based Optimization

  SPE Reservoir Evaluation and Engineering

• Paper by: Keil, T., Kleikamp, H., Lorentzen, R.J. , Oguntola, M.B., Ohlberger, M. (2022)

  Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery

  Advances in Computational Mathematics

• Conf-paper by: Raanes, P.N. (2022)

  Least-square linear regression (LLS) in ensemble methods

  Seminar series

• Conf-paper by: Raanes, P.N. (2022)

  Theoretical review of ensemble (LLS) gradients for robust optimisation (EnOpt)

  CoRea annual meeting

• Book-chapter by: Carrassi, A., Bocquet, M., Demaeyer, J., Grudzien, C., Raanes, P.N. , Vannitsem, S. (2022)

  Data Assimilation for Chaotic Dynamics

  Springer

• Conf-paper by: Wang, Y. (2022)

  Towards skillful subseasonal-to-seasonal sea ice prediction (4SICE)

  NFR China-Norway pre-kickoff meeting

• Paper by: Hermanson, L., Smith, D., Seabrook, M., Bilbao, R., Doblas-Reyes, F., Tourigny, E., Lapin, V., Kharin, V.V., Merryfield, W.J., Sospedra-Alfonso, R., Athanasiadis, P., Nicoli, D., Gualdi, S., Dunstone, N., Eade, R., Scaife, A., Collier, M., O'Kane, T., Kitsios, V., Sandery, P., Pankatz, K., Früh, B., Pohlmann, H., Müller, W., Kataoka, T., Tatebe, H., Ishii, M., Imada, Y., Kruschke, T., Koenigk, T., Karami, M.P., Yang, S., Tian, T., Zhang, L., Delworth, T., Yang, X., Zeng, F., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Bethke, I., Lean, J., Luterbacher, J., Kolli, R.K., Kumar, A. (2022)

  WMO Global Annual to Decadal Climate Update A Prediction for 2021-25

  Bulletin of The American Meteorological Society - (BAMS)

• Paper by: Chen, F., Kong, X., Li, X., Wang, Y. , Pang, C. (2022)

  Reliability of satellite-derived precipitation data in driving hydrological simulations: a case study of the upper Huaihe River basin, China

  Journal of Hydrology

• Paper by: Baaklini, G., Hourany, R.E., Fakhri, M., Brajard, J. , Issa, L., Fifani, G., Mortier, L. (2022)

  Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods

  Ocean Science

• Paper by: Alaguarda, D., Brajard, J. , Coulibaly, G., Canesi, M., Douville, E., Cornec, C.L., Lelabousse, C., Tribollet, A. (2022)

  54 years of microboring community history explored by machine learning in a massive coral from Mayotte (Indian Ocean)

  Frontiers in Marine Science

• Paper by: Wang, Y. , Counillon, F.S. , Barthelemy, S.J., Barth, A. (2022)

  Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model

  Frontiers in Climate

• Conf-paper by: Silva, E., Counillon, F.S. , Brajard, J. , Korosov, A., Pettersson, L.H., Samuelsen, A., Keenlyside, N.S. (2022)

  Twenty-one years of Phytoplankton bloom phenology in the Barents, Norwegian and North seas

  The Symposium on Decadal Variability of the North Atlantic and its Marine Ecosystems: 2010-2019

• Conf-paper by: Fransner, S.F.K., Årthun, M., Bethke, I., Counillon, F.S. , Samuelsen, A., Tjiputra, J., Olsen, A., Keenlyside, N.S. (2022)

  Skillful Prediction of Barents Sea Phytoplankton Concentration

  EGU General Assembly 2022

• Paper by: Singh, T. , Counillon, F.S. , Tjiputra, J., Wang, Y. , Gharamti, M.E. (2022)

  Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment

  Frontiers in Marine Science

• Conf-paper by: Bethke, I., Bonaduce, A., Richter, K., Raj, R.P., Bilge, T.A., Chiu, P., Counillon, F.S. , Garcia, L., Keenlyside, N.S., Shen, M., Bentsen, M., Gupta, A.K., Nummelin, A.H. (2022)

  Sea Level Projection and Reconstruction Unit (SeaPR) highlight talk: Regional sea-level change attribution with NorESM experiments

  Bjerknes Annual Meeting (BAM)

• Conf-paper by: Evensen, G. (2022)

  The approximations made when deriving data-assimilation methods

  Data Assimilation – Mathematical Foundation and Applications

• Paper by: Chang, Y., Evensen, G. (2022)

  An ensemble-based decision workflow for reservoir management

  Journal of Petroleum Science and Engineering

• Monograph by: Evensen, G. , Vossepoel, F.C., Leeuwen, P.J.v. (2022)

  Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem

  Publisher (see NVA)

• Book-chapter by: Raj, R.P., Andersen, O., Rose, S., Regan, H., Bonaduce, A., Hendricks, S., Brockley, D., Xie, J. (2022)

  ESA Cryo-TEMPO project: Arctic Sea level variability during the past decade

  NSA Group Roma

• Paper by: Bilge, T.A., Fournier, N., Mignac, D., Hume-Wright, L., Bertino, L. , Williams, T., Tietsche, S. (2022)

  An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport

  Journal of Marine Science and Engineering (JMSE)

• Paper by: Barthelemy, S.J., Brajard, J. , Bertino, L. , Counillon, F.S. (2022)

  Super-resolution data assimilation

  Ocean Dynamics

• Book-chapter by: Gutkneckt, E., Bertino, L. , Brasseur, P., Ciavatta, S., Gianpiero, C., Fennel, K., Ford, D., Gregoire, M., Lavoie, D., Lehodey, P. (2022)

  Biogeochemical Modelling

  IOC-UNESCO

• Book-chapter by: Aksenov, Y., Rynders, S., Feltham, D.L., Hosekova, L., Marsh, R.J., Skliris, N., Bertino, L. , Williams, T., Popova, E., Yool, A., Nurser, A.G., Coward, A., Bricheno, L., Srokosz, M., Heorton, H. (2022)

  Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives

  Springer

• Book-chapter by: Mangini, F., Bonaduce, A., Chafik, L., Raj, R.P., Bertino, L. (2022)

  Detection and attribution of manometric sea-level variations along the Norwegiancoast osing GRACE mascon solutions

  NSA Group Roma

• Conf-paper by: Xie, J. , Bertino, L. (2022)

  TOPAZ4b: a new version of the ocean and sea-ice Arctic reanalysis

  EGU General Assembly 2022

• Paper by: Martinez, J., Gabarró, C., Turiel, A., Gonzalez-Gambau, V., Umbert, M., Hoareau, N., Gonzalez-Haro, C., Olmedo, E., Arias, M., Catany, R., Bertino, L. , Raj, R.P., Xie, J. , Sabia, R., Fernandez, D. (2022)

  Improved BEC SMOS Arctic Sea Surface Salinity product v3.1

  Earth System Science Data

• Conf-paper by: Ying, Y. , Anderson, J., Bertino, L. (2022)

  Performance of the multiscale alignment ensemble filter in reducing vortex position errors

  EGU general Assembly 2022

• Paper by: Lien, V.S., Aaboe, S., Down, E., Bertino, L. , Hendricks, S., Lavergne, T., Xie, J. , Mangin, A., Bretagnon, M. (2022)

  Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6

  Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology

• Paper by: Nakanowatari, T., Xie, J. , Bertino, L. , Matsueda, M., Yamagami, A., Inoue, J. (2022)

  Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system

  Environmental Research Letters

• Paper by: Mangini, F., Chafik, L.M., Bonaduce, A., Bertino, L. , Nilsen, J.E.Ø. (2022)

  Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography

  Ocean Science

• PhD-thesis by: Mangini, F., Bertino, L. , Nilsen, J.E.Ø., Chafik, L., Li, C. (2022)

  Sea-level change over the northern European continental shelf due to atmospheric and oceanic contributions

  Universitetet i Bergen

• PhD-thesis by: Mangini, F., Bertino, L. , Nilsen, J.E.Ø., Chafik, L., Li, C. (2022)

  Sea-level change over the northern European continental shelf due to atmospheric and oceanic contributions

  Universitetet i Bergen

• Conf-paper by: Raj, R.P., Andersen, O., Rose, S., Regan, H., Bonaduce, A., Hendricks, S., Brockley, D., Xie, J. (2022)

  ESA Cryo-TEMPO project: Arctic Sea level variability during the past decade

  Proceedings Oceans from Space V

• Conf-paper by: Mangini, F., Bonaduce, A., Chafik, L., Raj, R.P., Bertino, L. (2022)

  Detection and attribution of manometric sea-level variations along the Norwegiancoast osing GRACE mascon solutions

  Proceedings Oceans from Space V

• Conf-paper by: Luo, X. , Petvipusit, K.R., Chalub Cruz, W. (2022)

  Joint History Matching of Production and Tracer Data Through an Iterative Ensemble Smoother: A 3D Field-Scale Case Study

  International Petroleum Technology Conference

• Conf-paper by: Sandve, T.H., Sævareid, O., Lomeland, F., Lorentzen, R.J. (2022)

  History Matching Field Scale Model Using LET Based Relative Permeability

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Tewari, M., Kishtawal, C., Moriarty, V., Pallav, R., Singh, T. , Zhang, L., Treinish, L., Tewari, K. (2022)

  Improved seasonal prediction of harmful algal blooms in Lake Erie using large-scale climate indices

  Communications Earth & Environment

• Conf-paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2022)

  Towards Application of Multilevel Data Assimilation in Realistic Reservoir History-Matching Problems

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Alaguarda, D., Brajard, J. , Coulibaly, G., Canesi, M., Douville, E., Le Cornec, C., Lelabousse, C., Tribollet, A. (2022)

  54 years of microboring community history explored by machine learning in a massive coral from Mayotte (Indian Ocean)

  Frontiers in Marine Science

• Paper by: Lie, E.O., Bhakta, T. , Sandø, I. (2022)

  Inclusion of seismic attributes in reservoir ensemble coverage analysis

  The Leading Edge

• Paper by: Keil, T., Kleikamp, H., Lorentzen, R.J. , Oguntola, M.B., Ohlberger, M. (2022)

  Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery

  Advances in Computational Mathematics

• Paper by: Wang, Y. , Counillon, F.S. , Barthelemy, S.J., Barth, A. (2022)

  Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model

  Frontiers in Climate

• Paper by: Lien, V.S., Aaboe, S., Down, E., Bertino, L. , Hendricks, S., Lavergne, T., Xie, J. , Mangin, A., Bretagnon, M. (2022)

  Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6

  Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H. (2022)

  Verification of a real-time ensemble-based method for updating earth model based on GAN

  Journal of Computational Science

• Paper by: Nævdal, G. , Rofstad, E.K., Søreide, K., Evje, S. (2022)

  Fluid-sensitive migration mechanisms predict association between metastasis and high interstitial fluid pressure in pancreatic cancer

  Journal of Biomechanics

• Paper by: Zhang, X., Xiao, H., Luo, X. , He, G. (2022)

  Ensemble Kalman method for learning turbulence models from indirect observation data

  Journal of Fluid Mechanics

• Paper by: Luo, X. , Xia, C. (2022)

  Continuous Hyper-parameter OPtimization (CHOP) in an ensemble Kalman filter

  Frontiers in Applied Mathematics and Statistics

• Conf-paper by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T. (2022)

  Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

  The American Society of Mechanical Engineers (ASME)

• Paper by: Baaklini, G., El Hourany, R., Fakhri, M., Brajard, J. , Issa, L., Fifani, G., Mortier, L. (2022)

  Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods

  Ocean Science

• Conf-paper by: Bertino, L. , Blockley, E., Johannessen, J.A., Olason, E. (2022)

  Sea Ice Modelling

  ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems

• Conf-paper by: Gutkneckt, E., Bertino, L. , Brasseur, P., Ciavatta, S., Gianpiero, C., Fennel, K., Ford, D., Gregoire, M., Lavoie, D., Lehodey, P. (2022)

  Biogeochemical Modelling

  ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems

• Paper by: Chalub Cruz, W., Luo, X. , Petvipusit, K.R. (2022)

  Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study †

  Energies

• Paper by: Chen, F., Kong, X., Li, X., Wang, Y. , Pang, C. (2022)

  Reliability of satellite-derived precipitation data in driving hydrological simulations: a case study of the upper Huaihe River basin, China

  Journal of Hydrology

• Book-chapter by: Carrassi, A., Bocquet, M., Demaeyer, J., Grudzien, C., Raanes, P.N. , Vannitsem, S. (2022)

  Data Assimilation for Chaotic Dynamics

  Springer

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)

  Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

  Transactions of the SPWLA 2022

• Paper by: Luo, X. , Cruz, W.C. (2022)

  Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother

  Computational Geosciences

• Conf-paper by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10,000 geosteering decisions?

  Society of Petroleum Engineers

• Paper by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T. (2022)

  Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

  Lecture Notes in Computer Science (LNCS)

• Paper by: Alyaev, S. , Elsheikh, A. (2022)

  Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

  Earth and Space Science

• Conf-paper by: Rammay, M.H., Alyaev, S. (2022)

  Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Rammay, M.H., Alyaev, S. , Elsheikh, A. (2022)

  Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements

  Geophysical Journal International

• Paper by: Chang, Y., Evensen, G. (2022)

  An ensemble-based decision workflow for reservoir management

  Journal of Petroleum Science and Engineering

• Paper by: Barthelemy, S.J., Brajard, J. , Bertino, L. , Counillon, F.S. (2022)

  Super-resolution data assimilation

  Ocean Dynamics

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2022)

  Iterative multilevel assimilation of inverted seismic data

  Computational Geosciences

• Monograph by: Evensen, G. , Vossepoel, F.C., van Leeuwen, P.J. (2022)

  Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem

  Springer

• Paper by: Gaden, T.S., Ghetti, C., Kvestad, I., Bieleninik, L., Stordal, A.S. , Assmus, J., Shmuel, A., Elefant, C., Epstein, S., Ettenberger, M., Lichtensztejn, M., Lindvall, M.W., Mangersnes, J., Janner, C., Vederhus, B.J., Gold, C. (2022)

  Short-term Music Therapy for Families With Preterm Infants: A Randomized Trial

  Pediatrics

• Paper by: Oguntola, M.B., Lorentzen, R.J. (2022)

  Robust Value Quantification of Enhanced Oil Recovery Methods Using Ensemble-Based Optimization

  SPE Reservoir Evaluation and Engineering

• Paper by: Singh, T. , Counillon, F.S. , Tjiputra, J., Wang, Y. , Gharamti, M.E. (2022)

  Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment

  Frontiers in Marine Science

• Paper by: Hermanson, L., Smith, D., Seabrook, M., Bilbao, R., Doblas-Reyes, F., Tourigny, E., Lapin, V., Kharin, V.V., Merryfield, W.J., Sospedra-Alfonso, R., Athanasiadis, P., Nicoli, D., Gualdi, S., Dunstone, N., Eade, R., Scaife, A., Collier, M., O'Kane, T., Kitsios, V., Sandery, P., Pankatz, K., Früh, B., Pohlmann, H., Müller, W., Kataoka, T., Tatebe, H., Ishii, M., Imada, Y., Kruschke, T., Koenigk, T., Karami, M.P., Yang, S., Tian, T., Zhang, L., Delworth, T., Yang, X., Zeng, F., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Bethke, I., Lean, J., Luterbacher, J., Kolli, R.K., Kumar, A. (2022)

  WMO Global Annual to Decadal Climate Update A Prediction for 2021-25

  Bulletin of The American Meteorological Society - (BAMS)

• Paper by: Nakanowatari, T., Xie, J. , Bertino, L. , Matsueda, M., Yamagami, A., Inoue, J. (2022)

  Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system

  Environmental Research Letters

• Paper by: Bilge, T.A., Fournier, N., Mignac, D., Hume-Wright, L., Bertino, L. , Williams, T., Tietsche, S. (2022)

  An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport

  Journal of Marine Science and Engineering

• Paper by: Ranazzi, P.H., Luo, X. , Sampaio, M.A. (2022)

  Improving pseudo-optimal Kalman-gain localization using the random shuffle method

  Journal of Petroleum Science and Engineering

• Paper by: Jahani, N., Ambia Garrido, J., Alyaev, S. , Fossum, K. , Suter, E.C., Torres-Verdin, C. (2022)

  Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering

  Geophysics

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C. (2021)

  Reducing systematic errors due to deformation of organs at risk in radiotherapy

  Medical Physics (Lancaster)

• Paper by: Xiang, K., Eikrem, K.S. , Jakobsen, M., Nævdal, G. (2021)

  Homotopy scattering series for seismic forward modelling with variable density and velocity

  Geophysical Prospecting

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2021)

  Sequential probabilistic multi-modal inversion and prediction with deep learning

  DigiWells demo

• Conf-paper by: Alyaev, S. , Holsaeter, A.M., Bratvold, R.B., Ivanova, S., Bendiksen, M. (2021)

  Systematic Decisions Under Uncertainty: An Experiment Towards Better Geosteering Operations

  SPE/IADC International Drilling Conference and Exhibition

• Book-chapter by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B. (2021)

  Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy

  Society of Petroleum Engineers

• Conf-paper by: Alyaev, S. , Daireaux, B. (2021)

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  SPE/IADC International Drilling Conference and Exhibition

• Conf-paper by: Muhammad, R.B., Bratvold, R.B., Alyaev, S. (2021)

  Reinforcement learning ​for better geosteering decisions

  DigiWells seminar

• Paper by: Solomon, A., Heuzé, C., Rabe, B., Bacon, S., Bertino, L. , Heimback, P., Inoue, J., Iovino, D., Mottram, R., Zhang, X., Aksenov, Y., McAdam, R., Nguyen, A., Raj, R.P., Tang, H. (2021)

  Freshwater in the Arctic Ocean 2010-2019

  Ocean Science

• Paper by: Singh, T. , Saha, U., Prasad, V., Gupta, M.D. (2021)

  Assessment of newly-developed high resolution reanalyses (IMDAA, NGFS and ERA5) against rainfall observations for Indian region

  Atmospheric research

• Conf-paper by: Bhakta, T. , Lien, M. , Mannseth, T. (2021)

  Monitoring of CO2 saturation plume movement from time-lapse inverted-seismic and gravity data using an ensemble-based method

  82nd EAGE Annual Conference & Exhibition

• Paper by: Lie, E.O., Bhakta, T. , Sandø, I. (2021)

  Seismic modeling using dual-reservoir and geophysical models

  SEG technical program expanded abstracts

• Conf-paper by: Lie, E.O., Bhakta, T. , Sandø, I. (2021)

  Seismic modeling using dual-reservoir and geophysical models

  First International Meeting for Applied Geoscience & Energy

• Conf-paper by: Luo, X. (2021)

  An ensemble data assimilation workflow for subsurface characterization

  Talk Series in Computer Science and Applications - AML-CS

• Paper by: Xia, C., Luo, X. , Hu, B.X., Riva, M., Guadagnini, A. (2021)

  Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations

  Hydrology and Earth System Sciences (HESS)

• Paper by: Luo, X. (2021)

  Novel iterative ensemble smoothers derived from a class of generalized cost functions

  Computational Geosciences

• Paper by: Wang, L., Oliver, D. (2021)

  Improving Sequential Decisions – Efficiently Accounting for Future Learning

  Journal of Petroleum Science and Engineering

• Paper by: Ba, Y., Wiljes, J.d., Oliver, D. , Reich, S. (2021)

  Randomized maximum likelihood based posterior sampling

  Computational Geosciences

• Paper by: Oliver, D.S. (2021)

  Information content in 4D seismic data: Effect of correlated noise

  Journal of Petroleum Science and Engineering

• Conf-paper by: Rammay, M.H., Alyaev, S. , Elsheikh, A., Bratvold, R.B. (2021)

  Real-time probabilistic inversion with model-error assessment of a deep learning approximation of borehole electromagnetic measurements

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

• Conf-paper by: Alyaev, S. (2021)

  Geosteering for IOR: Results and further opportunities

  DigiWells seminar

• Paper by: Thune, E.L., Kosinski, P.J., Balakin, B., Alyaev, S. (2021)

  A numerical study of flow field and particle deposition in nasal channels with deviant geometry

  Engineering Applications of Computational Fluid Mechanics

• Conf-paper by: Rammay, M.H., Alyaev, S. (2021)

  Improving forecast reliability of the decline curve models while accounting for model-error

  International Field Exploration and Development Conference 2021

• Paper by: Alyaev, S. , Ivanova, S., Holsaeter, A.M., Bratvold, R.B., Bendiksen, M. (2021)

  An interactive sequential-decision benchmark from geosteering

  Applied Computing and Geosciences

• Book-chapter by: Alyaev, S. , Daireaux, B. (2021)

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  Society of Petroleum Engineers

• Paper by: Alyaev, S. , Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C. (2021)

  Modeling extra-deep electromagnetic logs using a deep neural network

  Geophysics

• Conf-paper by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B. (2021)

  Unlocking the Human Factor: Geosteering Decision Making as a Component of Drilling Operational Efficacy

  The Unconventional Resources Technology Conference

• Conf-paper by: Alyaev, S. , Ambrus, A., Pacis, F.J.C., Jahani, N., Wiktorski, T., Elsheikh, A. (2021)

  Drilling Process Modelling with Deep Learning: Towards ROP Prediction

  DigiWells seminar

• Conf-paper by: Alyaev, S. , Elsheikh, A., Ambrus, A., Jahani, N. (2021)

  Deep learning for probabilistic inversion during geosteering

  HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS

• Conf-paper by: Ambrus, A., Alyaev, S. , Ewald, R. (2021)

  Drilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)

  Technical meeting

• Book-chapter by: Alyaev, S. , Holsaeter, A.M., Bratvold, R.B., Ivanova, S., Bendiksen, M. (2021)

  Systematic decisions under uncertainty : An experiment towards better geosteering operations

  Society of Petroleum Engineers

• Conf-paper by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C. (2021)

  REAL-TIME ENSEMBLE-BASED WELL-LOG INTERPRETATION FOR GEOSTEERING

  SPWLA 62nd Annual Symposium

• Book-chapter by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C. (2021)

  Real-Time Ensemble-Based Well-Log Interpretation for Geosteering

  Society of Petroleum Engineers

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A. (2021)

  Deep learning for prediction of complex geology ahead of drilling

  Lecture Notes in Computer Science (LNCS)

• Conf-paper by: Fossum, K. (2021)

  Assessment of correlation-based localization techniques

  2021 EnKF Workshop

• Conf-paper by: Fossum, K. , Alyaev, S. , Suter, E.C., Tossi, G., Mele, M. (2021)

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  3rd EAGE/SPE Geosteering Workshop

• Conf-paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  3rd EAGE/SPE Geosteering Workshop

• Book-chapter by: Fossum, K. , Alyaev, S. , Suter, E.C., Tosi, G., Mele, M. (2021)

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  First Break

• Conf-paper by: Alyaev, S. , Fossum, K. , Tveranger, J., Elsheikh, A. (2021)

  Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

• Conf-paper by: Alyaev, S. , Fossum, K. (2021)

  Probabilistic Geological Predictions and EM-Log Modelling using Deep Neural Networks

  NFES Stavanger Monthly Technical Meeting

• Book-chapter by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network (conference extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2021)

  Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error

  Frontiers in Applied Mathematics and Statistics

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I. (2021)

  Model probabilities and hierarchical modeling

  2021 EnKF Workshop

• Conf-paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A. (2021)

  Deep learning for prediction of complex geology ahead of drilling

  ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

• Conf-paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2021)

  Approximately accounting for multilevel modeling error in multilevel data assimilation

  2021 International EnKF workshop

• Conf-paper by: Gaden, T.S., Ghetti, C., Kvestad, I., Bieleninik, L., Stordal, A.S. , Assmus, J., Arnon, S., Gold, C. (2021)

  Short-term Music Therapy for Premature Infants and their Parents: Results from international randomized trial LongSTEP

  4th Congress of joint European Neonatal Societies

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C. (2021)

  Reducing systematic errors due to deformation of organs at risk in radiotherapy

  Medical Physics

• Paper by: Oguntola, M.B., Lorentzen, R.J. (2021)

  Ensemble-based constrained optimization using an exterior penalty method

  Journal of Petroleum Science and Engineering

• Paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2021)

  Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning

  Journal of Petroleum Science and Engineering

• Conf-paper by: Raanes, P.N. (2021)

  Temporal multi-scale adaptations for ensemble Kalman methods

  CoRea annual meeting

• Conf-paper by: Raanes, P.N. (2021)

  DAPPER: Data Assimilation with Python: a Package for Experimental Research

  EnKF workshop

• Conf-paper by: Nævdal, G. , Evje, S., Waldeland, J.O. (2021)

  Data-driven computational simulation of tumor progression: Characterization of tumor microenvironment using ES-MDA

  EnKF workshop 2021

• Conf-paper by: Chang, Y., Nævdal, G. , Lorentzen, R.J. (2021)

  Robust and efficient optimization demonstrated on the Olympus field

  IOR Centre’s Workshop on Production optimization, value of information and decision-making

• Paper by: Xiang, K., Eikrem, K.S. , Jakobsen, M., Nævdal, G. (2021)

  Homotopy scattering series for seismic forward modelling with variable density and velocity

  Geophysical Prospecting

• Review-paper by: Oliver, D. , Fossum, K. , Bhakta, T. , Sandø, I., Nævdal, G. , Lorentzen, R.J. (2021)

  4D seismic history matching

  Journal of Petroleum Science and Engineering

• Conf-paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D. (2021)

  Propagation of Thermohaline Anomalies and their predictive potential in the Northern North Atlantic

  EGU General Assembly 2021

• Paper by: Bouget, V., Béréziat, D., Brajard, J. , Charantonis, A., Filoche, A. (2021)

  Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting

  Remote Sensing

• Paper by: Baaklini, G., Issa, L., Fakhri, M., Brajard, J. , Fifani, G., Menna, M., Taupier-Letage, I., Bosse, A., Mortier, L. (2021)

  Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types

  Ocean Modelling

• Paper by: Sonnewald, M., Lguensat, R., Jones, D., Brajard, J. , Dueben, P., Balaji, V. (2021)

  Bridging observations, theory and numerical simulation of the ocean using machine learning

  Environmental Research Letters

• Conf-paper by: Wang, S., Counillon, F.S. , Koseki, S., Keenlyside, N.S., Gupta, A.K., Shen, M. (2021)

  Recent development of a supermodel - an interactive multi- model ensemble

  Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation

• Conf-paper by: Counillon, F.S. , Wang, S., Keenlyside, N.S., Koseki, S., Gupta, A.K., Devilliers, M., Shen, M. (2021)

  Application of supermodeling to Earth system modelling

  Multi-annual to Decadal Climate Predictability in the North Atlantic-Arctic Sector

• Conf-paper by: Counillon, F.S. (2021)

  Climate predictions

  CIMPA school: The mathematics of climate science

• Paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D., Årthun, M. (2021)

  Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway

  Journal of Climate

• Conf-paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y. (2021)

  Relating model bias and prediction skill in the equatorial Atlantic

  European Geophysical Union 2021

• Paper by: Silva, E., Counillon, F. , Brajard, J. , Korosov, A., Pettersson, L.H., Samuelsen, A., Keenlyside, N. (2021)

  Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas

  Frontiers in Marine Science

• Paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y. (2021)

  Relating model bias and prediction skill in the equatorial Atlantic

  Climate Dynamics

• Conf-paper by: Counillon, F.S. (2021)

  Data assimilation for climate prediction

  CHESS crash course on data assimilation, Bergen

• Paper by: Bethke, I., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Kimmritz, M., Fransner, F., Samuelsen, A., Langehaug, H.R., Svendsen, L., Chiu, P., Passos, L.G., Bentsen, M., Guo, C., Gupta, A.K., Tjiputra, J., Kirkevåg, A., Oliviè, D.J.L., Seland, Ø., Vågane, J.S., Fan, Y., Eldevik, T. (2021)

  NorCPM1 and its contribution to CMIP6 DCPP

  Geoscientific Model Development

• Conf-paper by: Chang, Y., Evensen, G. (2021)

  The DIGIRES workflow for ensemble-based decision making

  IOR Centre’s Workshop on Production optimization, value of information and decision-making

• Paper by: Neto, G.M.S., Soares, R., Evensen, G. , Davolio, A., Schiozer, D.J. (2021)

  Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation

  SPE Journal

• Conf-paper by: Chang, Y., Evensen, G. (2021)

  Demonstration of the Digires ensemble-based reservoir management workflow

  DIGIRES Steering Committee Project Meeting

• Paper by: Evensen, G. (2021)

  Formulating the history matching problem with consistent error statistics

  Computational Geosciences

• Paper by: Fleurantin, E., Sampson, C., Maes, D.P., Bennett, J., Fernandes-Nunez, T., Marx, S., Evensen, G. (2021)

  A study of disproportionately affected populations by race/ethnicity during the SARS-CoV-2 pandemic using multi-population SEIR modeling and ensemble data assimilation

  Foundations of Data Science (FoDS)

• Conf-paper by: Evensen, G. (2021)

  A subspace iterative ensemble smoother for solving DA and inverse problems

  ISDA-online

• Conf-paper by: Evensen, G. (2021)

  Using the power of data assimilation to model the COVID-19 pandemic

  Kolloquium für Atmosphäre und Klima

• Conf-paper by: Evensen, G. (2021)

  Efficient Subspace Implementation of an Iterative Ensemble Smoother for Solving Inverse Problems

  SIAM CSE

• Paper by: Stordal, A.S. , Moraes, R.J., Raanes, P.N. , Evensen, G. (2021)

  p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

  Mathematical Geosciences

• Conf-paper by: Evensen, G. (2021)

  Introducing ensemble methods for reservoir management

  IOR Norway 2021

• Conf-paper by: Evensen, G. (2021)

  An Iterative Ensemble-Smoother Solution of the HM Problem Formulated with Consistent Error Statistics

  SIAM GS

• Paper by: Liu, Y., Xie, J. , Liu, Z., Gan, J., Zhu, J. (2021)

  The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Lai, W., Gan, J., Liu, Y., Liu, Z., Xie, J. , Zhu, J. (2021)

  Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model

  Journal of Atmospheric and Oceanic Technology

• Paper by: Lyu, G., Armin, K., Nuno, S., Stammer, D., Xie, J. (2021)

  Arctic Ocean-Sea ice reanalysis for the period 2007-2016 using the adjoint method

  Quarterly Journal of the Royal Meteorological Society

• Paper by: Xiu, Y., Min, C., Xie, J. , Mu, L., Han, B., Yang, Q. (2021)

  Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4

  Journal of Glaciology

• Conf-paper by: Aalstad, K., Westermann, S., Pirk, N., Fiddes, J., Bertino, L. (2021)

  Retrieving fractional snow-covered area from optical satellites using data assimilation

  SIOS Online conference on remote sensing in Svalbard

• Paper by: Chatterjee, S., Raj, R.P., Bertino, L. , Mernild, J.S.H., Subeesh, M.P., Murukesh, N., Ravichandran, M. (2021)

  Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration

  The Cryosphere

• Paper by: Mangini, F., Chafik, L., Madonna, E., Li, C., Bertino, L. , Nilsen, J.E.Ø. (2021)

  The relationship between the eddy-driven jet stream and northern European sea level variability

  Tellus A: Dynamic Meteorology and Oceanography

• Conf-paper by: Aalstad, K., Alonso-Gonzalez, E., Bertino, L. , Fiddes, J., Hove, A.v., Pirk, N., Westermann, S., Yilmaz, Y.A. (2021)

  Learning from Earth observations using data assimilation

  LATICE 2021 Annual Meeting

• Book-chapter by: Bertino, L. , Ali, A., Carrasco, A., Lien, V.S., Melsom, A. (2021)

  The Arctic marine forecasting center in the first Copernicus period

  EuroGoos AISBL

• Conf-paper by: Aalstad, K., Alonso-Gonzalez, E., Bazilova, V., Bertino, L. , Fiddes, J., Filhol, S., Pirk, N., Westermann, S., Yilmaz, Y.A. (2021)

  Unmixing satellite imagery using data assimilation to map snow and albedo

  IGS Nordic Branch Meeting 2021

• Paper by: Brajard, J. , Carrassi, A., Bocquet, M., Bertino, L. (2021)

  Combining data assimilation and machine learning to infer unresolved scale parametrization

  Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

• Conf-paper by: Xie, J. , Raj, R.P., Bertino, L. , Martínez, J., Gabarró, C., Catany, R. (2021)

  Impacts of assimilating Arctic surface sea salinities from SMOS in a coupled ocean and sea ice reanalysis

  EGU General Assembly 2021

• Paper by: Singh, T. , Saha, U., Prasad, V., Das Gupta, M. (2021)

  Assessment of newly-developed high resolution reanalyses (IMDAA, NGFS and ERA5) against rainfall observations for Indian region

  Atmospheric research

• Paper by: Oen Lie, E., Bhakta, T. , Sandø, I. (2021)

  Seismic modeling using dual-reservoir and geophysical models

  SEG technical program expanded abstracts

• Conf-paper by: Bertino, L. , Ali, A., Carrasco, A., Lien, V.S., Melsom, A. (2021)

  The Arctic marine forecasting center in the first Copernicus period

  Proceedings of the 9th EuroGoos International Conference “Advances in Operational Oceanography”: Expanding Europe’s Observing and Forecasting Capacity

• Paper by: Luo, X. (2021)

  Novel iterative ensemble smoothers derived from a class of generalized cost functions

  Computational Geosciences

• Paper by: Baaklini, G., Issa, L., Fakhri, M., Brajard, J. , Fifani, G., Menna, M., Taupier-Letage, I., Bosse, A., Mortier, L. (2021)

  Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types

  Ocean Modelling

• Paper by: Sonnewald, M., Lguensat, R., Jones, D., Brajard, J. , Dueben, P., Balaji, V. (2021)

  Bridging observations, theory and numerical simulation of the ocean using machine learning

  Environmental Research Letters

• Paper by: Bouget, V., Béréziat, D., Brajard, J. , Charantonis, A., Filoche, A. (2021)

  Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting

  Remote Sensing

• Paper by: Liu, Y., Xie, J. , Liu, Z., Gan, J., Zhu, J. (2021)

  The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Lyu, G., Armin, K., Nuno, S., Stammer, D., Xie, J. (2021)

  Arctic Ocean-Sea ice reanalysis for the period 2007-2016 using the adjoint method

  Quarterly Journal of the Royal Meteorological Society

• Conf-paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network (conference extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Fossum, K. , Alyaev, S. , Suter, E.C., Tosi, G., Mele, M. (2021)

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Alyaev, S. , Ivanova, S., Holsaeter, A.M., Bratvold, R.B., Bendiksen, M. (2021)

  An interactive sequential-decision benchmark from geosteering

  Applied Computing and Geosciences

• Paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  First Break

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A. (2021)

  Deep learning for prediction of complex geology ahead of drilling

  Lecture Notes in Computer Science (LNCS)

• Paper by: Alyaev, S. , Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C. (2021)

  Modeling extra-deep electromagnetic logs using a deep neural network

  Geophysics

• Paper by: Thune, E.L., Kosinski, P.J., Balakin, B., Alyaev, S. (2021)

  A numerical study of flow field and particle deposition in nasal channels with deviant geometry

  Engineering Applications of Computational Fluid Mechanics

• Conf-paper by: Alyaev, S. , Holsaeter, A.M., Bratvold, R.B., Ivanova, S., Bendiksen, M. (2021)

  Systematic decisions under uncertainty : An experiment towards better geosteering operations

  Society of Petroleum Engineers

• Conf-paper by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B. (2021)

  Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy

  Society of Petroleum Engineers

• Conf-paper by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C. (2021)

  Real-Time Ensemble-Based Well-Log Interpretation for Geosteering

  Society of Petroleum Engineers

• Conf-paper by: Alyaev, S. , Daireaux, B. (2021)

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  Society of Petroleum Engineers

• Review-paper by: Oliver, D. , Fossum, K. , Bhakta, T. , Sandø, I., Nævdal, G. , Lorentzen, R.J. (2021)

  4D seismic history matching

  Journal of Petroleum Science and Engineering

• Paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2021)

  Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning

  Journal of Petroleum Science and Engineering

• Paper by: Oguntola, M.B., Lorentzen, R.J. (2021)

  Ensemble-based constrained optimization using an exterior penalty method

  Journal of Petroleum Science and Engineering

• Paper by: Silva, E., Counillon, F. , Brajard, J. , Korosov, A., Pettersson, L.H., Samuelsen, A., Keenlyside, N. (2021)

  Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas

  Frontiers in Marine Science

• Paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y. (2021)

  Relating model bias and prediction skill in the equatorial Atlantic

  Climate Dynamics

• Paper by: Bethke, I., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Kimmritz, M., Fransner, F., Samuelsen, A., Langehaug, H.R., Svendsen, L., Chiu, P., Passos, L.G., Bentsen, M., Guo, C., Gupta, A.K., Tjiputra, J., Kirkevåg, A., Oliviè, D.J.L., Seland, Ø., Vågane, J.S., Fan, Y., Eldevik, T. (2021)

  NorCPM1 and its contribution to CMIP6 DCPP

  Geoscientific Model Development

• Paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D., Årthun, M. (2021)

  Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway

  Journal of Climate

• Paper by: Evensen, G. (2021)

  Formulating the history matching problem with consistent error statistics

  Computational Geosciences

• Paper by: Stordal, A.S. , Moraes, R.J., Raanes, P.N. , Evensen, G. (2021)

  p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

  Mathematical Geosciences

• Paper by: Fleurantin, E., Sampson, C., Maes, D.P., Bennett, J., Fernandes-Nunez, T., Marx, S., Evensen, G. (2021)

  A STUDY OF DISPROPORTIONATELY AFFECTED POPULATIONS BY RACE/ETHNICITY DURING THE SARS-COV-2 PANDEMIC USING MULTI-POPULATION SEIR MODELING AND ENSEMBLE DATA ASSIMILATION

  Foundations of Data Science (FoDS)

• Paper by: Brajard, J. , Carrassi, A., Bocquet, M., Bertino, L. (2021)

  Combining data assimilation and machine learning to infer unresolved scale parametrization

  Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2021)

  Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error

  Frontiers in Applied Mathematics and Statistics

• Paper by: Neto, G.M.S., Soares, R., Evensen, G. , Davolio, A., Schiozer, D.J. (2021)

  Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation

  SPE Journal

• Paper by: Xia, C., Luo, X. , Hu, B.X., Riva, M., Guadagnini, A. (2021)

  Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations

  Hydrology and Earth System Sciences

• Paper by: Lai, W., Gan, J., Liu, Y., Liu, Z., Xie, J. , Zhu, J. (2021)

  Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model

  Journal of Atmospheric and Oceanic Technology

• Paper by: Xiu, Y., Min, C., Xie, J. , Mu, L., Han, B., Yang, Q. (2021)

  Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4

  Journal of Glaciology

• Paper by: Taskin, U., Eikrem, K.S. , Nævdal, G. , Jakobsen, M., Verschuur, D.J., van Dongen, K.W.A. (2020)

  Ultrasound Imaging of the Brain using Full-Waveform Inversion

  Proceedings - IEEE Ultrasonics Symposium

• Paper by: Eikrem, K.S. , Nævdal, G. , Jakobsen, M. (2020)

  Iterative solution of the Lippmann-Schwinger equation in strongly scattering acoustic media by randomized construction of preconditioners

  Geophysical Journal International

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)

  Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme

  SPE Journal

• Paper by: Xiang, K., Jakobsen, M., Eikrem, K.S. , Nævdal, G. (2020)

  Homotopy method for seismic modeling in strongly scattering acoustic media with density variation

  SEG technical program expanded abstracts

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)

  4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method

  Journal of Petroleum Science and Engineering

• Conf-paper by: Keenlyside, N., Li, F., Barthélémy, S., Counillon, F. , Wang, S., Bethke, I. (2020)

  Approaches to reduce model biases and initialize high-resolution climate models

  IBS Conference on High-Resolution Earth System Modelling

• Paper by: Fransner, F., Counillon, F. , Bethke, I., Tjiputra, J., Samuelsen, A., Nummelin, A., Olsen, A. (2020)

  Ocean Biogeochemical Predictions—Initialization and Limits of Predictability

  Frontiers in Marine Science

• Paper by: Tveit, S., Mannseth, T. , Park, J., Sauvin, G., Agersborg, R. (2020)

  Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

  Computational Geosciences

• Conf-paper by: Tveit, S., Mannseth, T. (2020)

  Ensemble-based Bayesian joint utilization of information from multiple data types for Los Humeros

  GEMex final conference

• Conf-paper by: Bhakta, T. , Tolstukhin, E., Pacheco, C., Luo, X. , Nævdal, G. (2020)

  Decoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir

  SEG Annual Meeting 2020

• Book-chapter by: Luo, X. (2020)

  Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Luo, X. (2020)

  Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions

  ECMOR XVII

• Paper by: Oliver, D. (2020)

  Diagnosing reservoir model deficiency for model improvement

  Journal of Petroleum Science and Engineering

• Paper by: Wang, L., Oliver, D. (2020)

  Fast robust optimization using bias correction applied to the mean model

  Computational Geosciences

• Book-chapter by: Wang, L., Oliver, D. (2020)

  Fast Robust Optimization Using Mean Field Bias Correction

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Alyaev, S. , Holsaeter, A.M., Bratvold, R.B., Ivanova, S., Bendiksen, M. (2020)

  Geosteering with uncertainty quantification: ​ Man vs Machine

  Virtual Highlight: Third EAGE/SPE Geosteering Workshop

• Conf-paper by: Alyaev, S. , Rammay, M.H., Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C., Elsheikh, A. (2020)

  Machine learning in real-time geosteering application: a DNN model for extra-deep EM logs and accounting for the model error during Bayesian inversion

  MATHROCKS workshop

• Paper by: Kuzmenkov, D.M., Delov, M.I., Zeynalyan, K., Struchalin, P.G., Alyaev, S. , He, Y., Kutsenko, K.V., Balakin, B. (2020)

  Solar steam generation in fine dispersions of graphite particles

  Renewable Energy

• Book-chapter by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2020)

  A novel approach to multilevel data assimilation

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Jahani, N., Garrido, J.A., Fossum, K. , Alyaev, S. , Suter, E.C. (2020)

  Sensitivity analysis of an iterative ensemble Kalman filter method to interpret geothermal well logging

  8th European Geothermal Workshop

• Paper by: Fossum, K. , Mannseth, T. , Stordal, A.S. (2020)

  Assessment of multilevel ensemble-based data assimilation for reservoir history matching

  Computational Geosciences

• Conf-paper by: Chang, Y., Nævdal, G. , Lorentzen, R.J. (2020)

  Optimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field

  SPE Norway Subsurface Conference

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2020)

  Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning

  SPE Norway Subsurface Conference

• Conf-paper by: Lorentzen, R.J. (2020)

  Workflow for ensemble-based history matching - Demonstrated on the Edvard Grieg field

  Short course for Lundin

• Book-chapter by: Oguntola, M.B., Lorentzen, R.J. (2020)

  On the Robust Value Quantification of Polymer EOR Injection Strategies for Better Decision Making

  European Association of Geoscientists and Engineers (EAGE)

• Book-chapter by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2020)

  Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning

  Society of Petroleum Engineers

• Conf-paper by: Raanes, P.N. (2020)

  CoRea WP2: Ensemble smoothing with localisation for coupled dynamics

  Kick-off meeting of the CoRea project

• Paper by: Taskin, U., Eikrem, K.S. , Nævdal, G. , Jakobsen, M., Verschuur, D.J., Dongen, K.W.A.v. (2020)

  Ultrasound Imaging of the Brain using Full-Waveform Inversion

  Proceedings - IEEE Ultrasonics Symposium

• Paper by: Eikrem, K.S. , Nævdal, G. , Jakobsen, M. (2020)

  Iterative solution of the Lippmann-Schwinger equation in strongly scattering acoustic media by randomized construction of preconditioners

  Geophysical Journal International

• Conf-paper by: Eikrem, K.S. (2020)

  Randomized construction of preconditioners for the Lippmann-Schwinger equation

  Workshop on seismic modelling and imaging in complex media

• Book-chapter by: Chang, Y., Nævdal, G. , Lorentzen, R.J. (2020)

  Optimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field

  Society of Petroleum Engineers

• Paper by: Xiang, K., Jakobsen, M., Eikrem, K.S. , Nævdal, G. (2020)

  Homotopy method for seismic modeling in strongly scattering acoustic media with density variation

  SEG technical program expanded abstracts

• Conf-paper by: Nævdal, G. , Vinningland, J.L. (2020)

  Medical technology

  NORCE Energi samling

• Paper by: Huang, X., Eikrem, K.S. , Jakobsen, M., Nævdal, G. (2020)

  Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter

  Geophysics

• Conf-paper by: Bhakta, T. , Tolstukhin, E., Pacheco, C., Luo, X. , Nævdal, G. (2020)

  Discrimination of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble-based method

  Workshop on ensemble-based 4D seismic history matching

• Book-chapter by: Bhakta, T. , Tolstukhin, E., Pacheco, C., Luo, X. , Nævdal, G. (2020)

  Decoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir

  SEG

• Conf-paper by: Hodneland, E., Nævdal, G. , Zanna, A. (2020)

  Nye metoder for distribuert og data-drevet simulering av blodstrøm i hjernen

  foredrag på Haukeland sykehus

• Paper by: Magnusson, J., Nævdal, G. , Matt, F., Burkhart, J.F., Winstral, A. (2020)

  Improving hydropower inflow forecasts by assimilating snow data

  Nordic Hydrology

• Conf-paper by: Wang, Y. (2020)

  CoRea project introduction

  CoRea project kick-off meeting

• Book-chapter by: Keenlyside, N., Kosaka, Y., Vigaud, N., Robertson, A., Wang, Y. , Dommenget, D., Luo, J., Matei, D. (2020)

  Basin Interactions and predictability

  Cambridge University Press

• Paper by: Yala, K., Niang, N., Brajard, J. , Mejia, C., Ouattara, M., Hourany, R.E., Crepon, M., Thiria, S. (2020)

  Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier

  Ocean Science

• Paper by: Boulze, H., Korosov, A., Brajard, J. (2020)

  Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks

  Remote Sensing

• Paper by: Dai, P., Gao, Y., Counillon, F. , Wang, Y. , Kimmritz, M., Langehaug, H.R. (2020)

  Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model

  Climate Dynamics

• Conf-paper by: Langehaug, H.R., Counillon, F. , Keenlyside, N., Maroon, E.A., Matei, D., Mignot, J., Ortega, P., Yang, S., Wang, Y. , Yeager, S.G. (2020)

  Attribution of Predictive Skill Along the Atlantic Water Pathway

  Ocean Sciences Meeting 2020

• Paper by: Smith, D.M., Scaife, A.A., Eade, R., Athanasiadis, P.J., Bellucci, A., Bethke, I., Bilbao, R., Borchert, L., Caron, L., Counillon, F. , Danabasoglu, G., Delworth, T., Doblas-Reyes, F.J., Dunstone, N.J., Estella-Perez, V., Flavoni, S., Hermanson, L., Keenlyside, N., Kharin, V., Kimoto, M., Merryfield, W.J., Mignot, J., Mochizuki, T., Modali, K., Monerie, P., Müller, W.A., Nicoli, D., Ortega, P., Pankatz, K., Pohlmann, H., Robson, J., Ruggieri, P., Sospedra-Alfonso, R., Swingedouw, D., Wang, Y. , Wild, S., Yeager, S.G., Yang, X., Zhang, L. (2020)

  North Atlantic climate far more predictable than models imply

  Nature

• Book-chapter by: Yang, S., Gao, Y., Koenigk, T., Keenlyside, N., Counillon, F. (2020)

  The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change

  Springer

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)

  4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method

  Journal of Petroleum Science and Engineering

• Conf-paper by: Evensen, G. (2020)

  Implementering og bruk av Ensemble Kalman Filter for bedre reservoarforståelse og økt utvinning

  Offshore Stragegikonferansen

• Conf-paper by: Evensen, G. (2020)

  An international initiative of predicting the SARS-Cov-2 pandemic using ensemble data assimilation

  Invited presentation Florida Atlantic University

• Paper by: Evensen, G. , Amezcua, J., Bocquet, M., Carrassi, A., Farchi, A., Fowler, A., Houtekamer, P.L., Jones, C.K., Moraes, R.J.d., Pulido, M., Sampson, C., Vossepoel, F.C. (2020)

  An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

  Foundations of Data Science (FoDS)

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)

  Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme

  SPE Journal

• Conf-paper by: Evensen, G. (2020)

  Consistent Formulation and Error Statistics for Reservoir History Matching

  ECMOR XVII

• Conf-paper by: Evensen, G. (2020)

  An international initiative of predicting the SARS-Cov-2 pandemic using ensemble data assimilation

  Second International Workshop on Data Assimilation for Decision Making, Colombia

• Conf-paper by: Evensen, G. (2020)

  Ensemble Kalman Filter for Increased Oil Recovery

  Oljedirektoratets IOR-pris 2020 webinar

• Paper by: Raj, R.P., Halo, I., Chatterjee, S., Belonenko, T.V., Paskyabi, M.B., Bashmachnikov, I.L., Fedorov, A.M., Xie, J. (2020)

  Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Xie, J. , Vos, M.d., Bertino, L. , Zhu, J., Counillon, F. (2020)

  Impact of assimilating altimeter data on eddy characteristics in the South China Sea

  Ocean Modelling

• Paper by: Chatterjee, S., Raj, R.P., Bertino, L. , Mernild, J.S.H., Murukesh, N., Ravichandran, M. (2020)

  The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration

  The Cryosphere Discussions

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L. (2020)

  Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization

  Foundations of Data Science (FoDS)

• Paper by: Schuckmann, K.v., Traon, P.L., Smith, N., Pascual, A., Djavidnia, S., Gattuso, J., Grégoire, M., Nolan, G., Aaboe, S., Bertino, L. , Korosov, A., Lavergne, T., Müller, M. (2020)

  Copernicus Marine Service Ocean State Report, issue 4

  Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology

• Conf-paper by: Aalstad, K., Westermann, S., Fiddes, J., Karsten, L., McCreight, J., Bertino, L. (2020)

  Testing ensemble-based snow reanalysis in the Lakes basin using the ASO

  2020 Airborne Snow Observatories, Inc. Annual Workshop

• Conf-paper by: Aalstad, K., Westermann, S., Pirk, N., Fiddes, J., Karsten, L., McCreight, J., Alonso-Gonzalez, E., Bertino, L. (2020)

  Constraining land surface models with emerging observations

  LATICE 2020 Annual Meeting

• Conf-paper by: Aalstad, K., Westermann, S., Fiddes, J., McCreight, J., Bertino, L. (2020)

  Retrieving, validating, and assimilating fractional snow-covered area from emerging optical satellites for snow reanalysis

  EGU General Assembly 2020

• Paper by: Aalstad, K., Westermann, S., Bertino, L. (2020)

  Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography

  Remote Sensing of Environment

• Paper by: Brajard, J. , Carrassi, A., Bocquet, M., Bertino, L. (2020)

  Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

  Journal of Computational Science

• Paper by: Cheng, S., Aydoğdu, A., Rampal, P., Carrassi, A., Bertino, L. (2020)

  Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion

  Oceans

• Book-chapter by: Bertino, L. , Xie, J. (2020)

  Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system

  Springer

• Paper by: Raj, R.P., Andersen, O.B., Johannessen, J.A., Benjamin, G., Chatterjee, S., Rose, S., Bonaduce, A., Horwath, M., Ranndal, H., Richter, K., Palanisamy, H., Ludwigsen, C., Bertino, L. , Nilsen, J.E.Ø., Knudsen, P., Hogg, A.E., Cazenave, A., Benveniste, J. (2020)

  Arctic sea level budget assessment during the GRACE/Argo time period

  Remote Sensing

• Paper by: Tveit, S., Mannseth, T. , Park, J., Sauvin, G., Agersborg, R. (2020)

  Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

  Computational Geosciences

• Conf-paper by: Keenlyside, N., Kosaka, Y., Vigaud, N., Robertson, A., Wang, Y. , Dommenget, D., Luo, J., Matei, D. (2020)

  Basin Interactions and predictability

  Cambridge University Press

• Conf-paper by: Bhakta, T. , Tolstukhin, E., Pacheco, C., Luo, X. , Nævdal, G. (2020)

  Decoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir

  SEG Technical Program Expanded Abstracts 2020

• Conf-paper by: Luo, X. (2020)

  Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Boulze, H., Korosov, A., Brajard, J. (2020)

  Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks

  Remote Sensing

• Paper by: Yala, K., Niang, N., Brajard, J. , Mejia, C., Ouattara, M., El Hourany, R., Crepon, M., Thiria, S. (2020)

  Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier

  Ocean Science

• Paper by: Kuzmenkov, D.M., Delov, M.I., Zeynalyan, K., Struchalin, P.G., Alyaev, S. , He, Y., Kutsenko, K.V., Balakin, B. (2020)

  Solar steam generation in fine dispersions of graphite particles

  Renewable Energy

• Paper by: Magnusson, J., Nævdal, G. , Matt, F., Burkhart, J.F., Winstral, A. (2020)

  Improving hydropower inflow forecasts by assimilating snow data

  Hydrology Research

• Conf-paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T. (2020)

  A novel approach to multilevel data assimilation

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Huang, X., Eikrem, K.S. , Jakobsen, M., Nævdal, G. (2020)

  Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter

  Geophysics

• Paper by: Fossum, K. , Mannseth, T. , Stordal, A.S. (2020)

  Assessment of multilevel ensemble-based data assimilation for reservoir history matching

  Computational Geosciences

• Conf-paper by: Oguntola, M.B., Lorentzen, R.J. (2020)

  On the Robust Value Quantification of Polymer EOR Injection Strategies for Better Decision Making

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Chang, Y., Nævdal, G. , Lorentzen, R.J. (2020)

  Optimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field

  Society of Petroleum Engineers

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2020)

  Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning

  Society of Petroleum Engineers

• Conf-paper by: Yang, S., Gao, Y., Koenigk, T., Keenlyside, N., Counillon, F. (2020)

  The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change

  Springer

• Paper by: Fransner, F., Counillon, F. , Bethke, I., Tjiputra, J., Samuelsen, A., Nummelin, A., Olsen, A. (2020)

  Ocean Biogeochemical Predictions—Initialization and Limits of Predictability

  Frontiers in Marine Science

• Paper by: Smith, D.M., Scaife, A.A., Eade, R., Athanasiadis, P.J., Bellucci, A., Bethke, I., Bilbao, R., Borchert, L., Caron, L., Counillon, F. , Danabasoglu, G., Delworth, T., Doblas-Reyes, F.J., Dunstone, N.J., Estella-Perez, V., Flavoni, S., Hermanson, L., Keenlyside, N., Kharin, V., Kimoto, M., Merryfield, W.J., Mignot, J., Mochizuki, T., Modali, K., Monerie, P., Müller, W.A., Nicoli, D., Ortega, P., Pankatz, K., Pohlmann, H., Robson, J., Ruggieri, P., Sospedra-Alfonso, R., Swingedouw, D., Wang, Y. , Wild, S., Yeager, S.G., Yang, X., Zhang, L. (2020)

  North Atlantic climate far more predictable than models imply

  Nature

• Paper by: Dai, P., Gao, Y., Counillon, F. , Wang, Y. , Kimmritz, M., Langehaug, H.R. (2020)

  Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model

  Climate Dynamics

• Paper by: Evensen, G. , Amezcua, J., Bocquet, M., Carrassi, A., Farchi, A., Fowler, A., Houtekamer, P.L., Jones, C.K., de Moraes, R.J., Pulido, M., Sampson, C., Vossepoel, F.C. (2020)

  An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

  Foundations of Data Science (FoDS)

• Paper by: Xie, J. , de Vos, M., Bertino, L. , Zhu, J., Counillon, F. (2020)

  Impact of assimilating altimeter data on eddy characteristics in the South China Sea

  Ocean Modelling

• Paper by: Brajard, J. , Carrassi, A., Bocquet, M., Bertino, L. (2020)

  Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

  Journal of Computational Science

• Conf-paper by: Bertino, L. , Xie, J. (2020)

  Operational Forecasting of Sea Ice in the Arctic Using the TOPAZ system

  Springer

• Paper by: Raj, R.P., Halo, I., Chatterjee, S., Belonenko, T.V., Bakhoday Paskyabi, M., Bashmachnikov, I.L., Fedorov, A.M., Xie, J. (2020)

  Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L. (2020)

  Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization

  Foundations of Data Science (FoDS)

• Paper by: Mannseth, T. (2019)

  Assimilation of multiple linearly dependent data vectors

  Computational Geosciences

• Paper by: Evensen, G. , Raanes, P.N. , Stordal, A.S. , Hove, J. (2019)

  Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching

  Frontiers in Applied Mathematics and Statistics

• Paper by: Chang, Y., Lorentzen, R.J. , Nævdal, G. , Feng, T. (2019)

  OLYMPUS optimization under geological uncertainty

  Computational Geosciences

• Paper by: Xie, J. , Raj, R.P., Bertino, L. , Samuelsen, A., Wakamatsu, T. (2019)

  Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data

  Ocean Science

• Conf-paper by: Shahriari, M., Pardo, D., Picon, A., Alyaev, S. , Torres-Verdin, C. (2019)

  Simulation and Inversion of Resistivity Measurements Using Deep Learning

  Formation Evaluation and Geosteering Workshop

• Paper by: Storto, A., Alvera-Azcarate, A., Balmaseda, M.A., Barth, A., Chevallier, M., Counillon, F. , Dominiques, C.M., Drevillon, M., Drillet, Y., Forget, G., Garric, G., Haines, K., Hernandez, F., Lovino, D., Jackson, L.C., Lellouche, J., Masina, S., Mayer, M., Oke, P.R., Penny, S.G., Peterson, K.A., Yang, C., Zuo, H. (2019)

  Ocean Reanalyses: Recent Advances and Unsolved Challenges

  Frontiers in Marine Science

• Paper by: Mannseth, T. (2019)

  Assimilation of multiple linearly dependent data vectors

  Computational Geosciences

• Paper by: Gasda, S.E., Aavatsmark, I., Bohloli, B., Hellevang, H., Nordbotten, J.M., Wangen, M., Bjørnarå, T.I., Boon, W., Fazeli, H., Mannseth, T. , Nooraiepour, M., Park, J., Skurtveit, E., Tveit, S., Noort, R.V., Varela, J., Viken, I., Thibeau, S. (2019)

  Protection of Caprock Integrity for Large-Scale CO2 Storage on the Norwegian Continental Shelf

  International Journal of Greenhouse Gas Control

• Conf-paper by: Mannseth, T. (2019)

  Assimilation of Multiple Linearly Dependent Data Vectors

  14th International EnKF Workshop

• Paper by: Luo, X. , Bhakta, T. (2019)

  Automatic and adaptive localization for ensemble-based history matching

  Journal of Petroleum Science and Engineering

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)

  An ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: A real field case study

  FORCE symposium: Applied Machine Learning and Advanced Analytics with Oil and Gas Data

• Book-chapter by: Ohm, K.S., Weibull, W.W., Luo, X. (2019)

  Uncertainty quantification in non-linear seismic inversion: A comparison of three different methods

  SEG

• Conf-paper by: Luo, X. (2019)

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  Department Colloquium, Department of Mathematics, University of Bergen

• Conf-paper by: Luo, X. (2019)

  An ensemble based learning framework for history matching with imperfect forward simulators

  The 11th annual meeting of International Society for Porous Media (InterPore 2019).

• Paper by: Luo, X. (2019)

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  PLOS ONE

• Conf-paper by: Luo, X. (2019)

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  The 14th International Enkf Workshop

• Paper by: Alfonzo, M.A., Oliver, D. (2019)

  Seismic data assimilation with an imperfect model

  Computational Geosciences

• Conf-paper by: Wang, L., Oliver, D. (2019)

  Efficient Optimization of Well Drilling Sequence with Learned Heuristics

  SPE Norway One Day Seminar

• Conf-paper by: Oliver, D. (2019)

  Iterative ensemble smoothers for large-scale subsurface inverse problems

  Department seminar

• Conf-paper by: Wang, L., Oliver, D. (2019)

  Optimal Learning for Sequential Decision Making for Well Drilling Schedule with Learned Heuristics

  IOR Norway 2019

• Conf-paper by: Oliver, D. (2019)

  Data assimilation and control of subsurface reservoirs

  International Workshop on Data-Centric Engineering

• Conf-paper by: Oliver, D. (2019)

  History Matching

  Department lecture

• Paper by: Alfonzo, M.A., Oliver, D. (2019)

  Evaluating prior predictions of production and seismic data

  Computational Geosciences

• Book-chapter by: Wang, L., Oliver, D. (2019)

  Efficient Optimization of Well Drilling Sequence with Learned Heuristics

  Society of Petroleum Engineers

• Paper by: Wang, L., Oliver, D. (2019)

  Efficient Optimization of Well-Drilling Sequence with Learned Heuristics

  SPE Journal

• Conf-paper by: Alyaev, S. , Bendiksen, M., Holsaeter, A.M., Ivanova, S., Ewald, R. (2019)

  Geosteering competition the NORCE way

  Formation Evaluation and Geosteering Workshop

• Conf-paper by: Alyaev, S. (2019)

  Geosteering Decisions Balancing Recovery and Drilling Risks

  Collaboration to Increase Competitiveness

• Conf-paper by: Alyaev, S. (2019)

  Geosteering decisions balancing drilling risks and well productivity

  Møte med AkerBP/Odfjell Drilling/Halliburton

• Paper by: Ambrus, A., Saadallah, N., Alyaev, S. , Iversen, F. (2019)

  Automatic detection of anomalous drilling operations using machine learning methods and drilling process simulations

  Oil, Gas

• Book-chapter by: Cayeux, E., Daireaux, B., Saadallah, N., Alyaev, S. (2019)

  Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications

  Society of Petroleum Engineers

• Paper by: Sommer, M., Jakobsen, M., Alyaev, S. (2019)

  Inversion of electromagnetic data while drilling using a distorted Born iterative method for anisotropic conductive media

  SEG technical program expanded abstracts

• Conf-paper by: Alyaev, S. , Bratvold, R.B., Hong, A., Suter, E.C., Jahani, N., Daireaux, B. (2019)

  Real-Time Decision Making for Geosteering

  SIAM Conference on Mathermatical & Computational Issures in the Geosciences (GS19)

• Conf-paper by: Mannseth, T. , Fossum, K. , Tveit, S. (2019)

  Multilevel Assimilation of Geophysical Data

  ICIAM 19 - International congress on industrial and applied mathematics

• Conf-paper by: Jahani, N., Suter, E.C., Daireaux, B., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. , Alyaev, S. (2019)

  Realtime multi-objective optimization of well trajectory under geological uncertainty

  ICIAM 2019 Congress

• Paper by: Alyaev, S. , Suter, E.C., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. (2019)

  A decision support system for multi-target geosteering

  Journal of Petroleum Science and Engineering

• Conf-paper by: Alyaev, S. , Daireaux, B., Suter, E.C., Hong, A., Bratvold, R.B., Luo, X. , Fossum, K. (2019)

  A Geosteeering Decision Support System that Balances Recovery and Drilling Risks

  Formation Evaluation and Geosteering Workshop

• Book-chapter by: Fossum, K. , Lorentzen, R.J. (2019)

  Assisted History Matching of 4Dseismic Data - A Comparative Study

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Lorentzen, R.J. (2019)

  History Matching Production and 4D Seismic Data and Application to the Norne Field

  IOR NORWAY 2019

• Book-chapter by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)

  Ensemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)

  An ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: a real field case study

  NORA (The Norwegian Artificial Intelligence Research Consortium) meeting at NORCE

• Conf-paper by: Raanes, P.N. (2019)

  EnKF -- FAQ

  Internal seminar

• Conf-paper by: Raanes, P.N. (2019)

  EnKF -- FAQ

  EnKF workshop

• Conf-paper by: Raanes, P.N. (2019)

  EnKF -- FAQ

  Visiting seminar

• Paper by: Raanes, P.N. , Bocquet, M., Carrassi, A. (2019)

  Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

  Quarterly Journal of the Royal Meteorological Society

• Conf-paper by: Raanes, P.N. (2019)

  DAPPER -- a brief overview

  modRSW workshop

• Conf-paper by: Raanes, P.N. (2019)

  EnKF -- FAQ

  modRSW workshop

• Conf-paper by: Chang, Y., Lorentzen, R.J. , Nævdal, G. , Feng, T. (2019)

  Olympus optimization under geological uncertainty

  14TH INTERNATIONAL ENKF WORKSHOP

• Paper by: Hanson, E.A., Hodneland, E., Lorentzen, R.J. , Nævdal, G. , Nordbotten, J.M., Sævareid, O., Zanna, A. (2019)

  Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments

  Lecture Notes in Computational Science and Engineering

• Paper by: Huang, X., Jakobsen, M., Nævdal, G. , Eikrem, K.S. (2019)

  Target-oriented inversion of time-lapse seismic waveform data

  Communications in Computational Physics

• Conf-paper by: Matt, F.N., Magnusson, J.O., Nævdal, G. , Winstral, A., Burkhart, J. (2019)

  Improving long‐term hydropower inflow forecasts by assimilating snow data

  5th Conference on Modelling Hydrology, Climate and Land Surface Processes

• Paper by: Chang, Y., Lorentzen, R.J. , Nævdal, G. , Feng, T. (2019)

  OLYMPUS optimization under geological uncertainty

  Computational Geosciences

• Paper by: Hodneland, E., Hanson, E.A., Sævareid, O., Nævdal, G. , Lundervold, A., Solteszova, V., Zanna, A., Deistung, A., Reichenbach, J., Nordbotten, J.M. (2019)

  A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model

  PLoS Computational Biology

• Paper by: Chen, F., Gao, Y., Wang, Y. , Li, X. (2019)

  A downscaling-merging method for high-resolution daily precipitation estimation

  Journal of Hydrology

• Paper by: Kimmritz, M., Counillon, F. , Smedsrud, L.H., Bethke, I., Keenlyside, N., Ogawa, F., Wang, Y. (2019)

  Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic

  Journal of Advances in Modeling Earth Systems

• Paper by: Jackson, L.C., Dubois, C., Forget, G., Haines, K., Harrison, M., Iovino, D., Köhl, A., Mignac, D., Masina, S., Peterson, K.A., Piecuch, C.G., Roberts, C., Robson, J., Storto, A., Toyoda, T., Valdivieso, M., Wilson, C., Wang, Y. , Zuo, H. (2019)

  The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses

  Journal of Geophysical Research (JGR): Oceans

• Book-chapter by: Galmiche, N., Brajard, J. , Charantonis, A., Wakamatsu, T. (2019)

  Impact of sparse profile sampling on the reconstruction of subsurface ocean temperature from surface information

  NCAR

• Conf-paper by: Brodtkorb, A.R., Brajard, J. , Künsch, H.R., Hanea, R.G., Lye, K.O., Eidsvik, J. (2019)

  Geilo Winter School in eScience on Learning from Data

  Geilo Winter School in eScience

• Book-chapter by: Ayed, I., B'ezenac, E.d., Pajot, A., Brajard, J. , Gallinari, P. (2019)

  Learning the hidden dynamics of ocean temperature with neural networks

  NCAR

• Conf-paper by: Wang, Y. , Counillon, F. , Barth, A., Barthélémy, S. (2019)

  Empirical anisotropic multivariate localisation in the ensemble Kalman filter for Earth System models

  Internation EnKF workshop

• Conf-paper by: Wang, Y. , Counillon, F. , Keenlyside, N., Kimmritz, M., Bethke, I., Langehaug, H.R., Li, F., Gao, Y. (2019)

  Norwegian Climate Prediction Model (NorCPM)

  China-Norway Third-pole-Arctic workshop

• Conf-paper by: Wang, Y. , Counillon, F. , Keenlyside, N., Svendsen, L., Gleixner, S.N., Kimmritz, M., Dai, P., Gao, Y. (2019)

  Seasonal predictions initialised by assimilating SST data with the EnKF

  Bjerkes Centre annual meeting

• Conf-paper by: Kimmritz, M., Counillon, F. , Wang, Y. , Keenlyside, N., Bethke, I. (2019)

  Assessing the contribution of ocean and sea ice initialization for seasonal prediction in the Arctic

  EGU

• Conf-paper by: Wang, Y. , Counillon, F. , Kimmritz, M. (2019)

  Development of ensemble-based data assimilation techniques for climate prediction

  Bjerkes Climate Prediction workshop

• Conf-paper by: Counillon, F. , Keenlyside, N.S., Koseki, S., Bethke, I. (2019)

  Approaches to reduce model bias and improve climate predictions

  EnKF workshop

• Paper by: Penny, S.G., Akella, S., Balmaseda, M.A., Browne, P., Carton, J.A., Chevallier, M., Counillon, F. , Domingues, C., Frolov, S., Heimbach, P., Hogan, P., Hoteit, I., Iovino, D., Laloyaux, P., Martin, M.J., Masina, S., Moore, A.M., Rosnay, P.d., Schepers, D., Sloyan, B.M., Storto, A., Subramanian, A., Nam, S., Vitart, F., Yang, C., Fujii, Y., Zuo, H., O'Kane, T., Sandery, P., Moore, T., Chapman, C.C. (2019)

  Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction

  Frontiers in Marine Science

• Paper by: Wang, Y. , Counillon, F. , Keenlyside, N., Svendsen, L., Gleixner, S., Kimmritz, M., Dai, P., Gao, Y. (2019)

  Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF

  Climate Dynamics

• Conf-paper by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Counillon, F. , Wang, Y. (2019)

  Impact of Snow Initialization in Subseasonal-to-Seasonal (S2S) Winter Forecasts with the Norwegian Climate Prediction Model

  American Geophysical Union Fall Meeting

• Conf-paper by: Wang, Y. , Bethke, I., Counillon, F. , Kimmritz, M., Keenlyside, N. (2019)

  NorCPM1 and its contribution to CMIP6 DCPP

  Blue-Action annual meeting

• Paper by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Counillon, F. , Wang, Y. (2019)

  Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model

  Journal of Geophysical Research (JGR): Atmospheres

• Conf-paper by: Counillon, F. (2019)

  Oceanography and Environmental Applications

  Data assimilation summer school

• Conf-paper by: Evensen, G. (2019)

  Formulation of iterative ensemble smoothers

  Workshop on Data Assimilation: Methodology and Applications

• Conf-paper by: Evensen, G. (2019)

  Course on Data Assimilation

  SUMMER SCHOOL ON DATA ASSIMILATION AND ITS APPLICATIONS IN OCEANOGRAPHY, HYDROLOGY, RISK & SAFETY AND RESERVOIR ENGINEERING

• Conf-paper by: Soares, R.V., Luo, X. , Evensen, G. (2019)

  Sparse Representation of 4D Seismic Signal Based on Dictionary Learning

  SPE Norway One Day

• Conf-paper by: Stordal, A.S. , Moraes, R., Raanes, P.N. , Evensen, G. (2019)

  Stein Variational Gradient Descent with Application to Data Assimilation

  Petroleum Geostatistics

• Paper by: Evensen, G. , Raanes, P.N. , Stordal, A.S. , Hove, J. (2019)

  Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching

  Frontiers in Applied Mathematics and Statistics

• Paper by: Raanes, P.N. , Stordal, A.S. , Evensen, G. (2019)

  Revising the stochastic iterative ensemble smoother

  Nonlinear processes in geophysics

• Conf-paper by: Evensen, G. (2019)

  DIGIRES Ensemble-based decision making for reservoir engineering

  Data Assimilation for Decision making Universidad del Norte - Computer Science Department

• Conf-paper by: Evensen, G. (2019)

  Implementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching

  Invited presentation University of Potsdam

• Conf-paper by: Raanes, P.N. , Stordal, A.S. , Evensen, G. (2019)

  Revising the Method of Ensemble Randomized Maximum Likelihood

  Petroleum Geostatistics 2019

• Conf-paper by: Evensen, G. (2019)

  Potential of iterative ensemble methods for solving the nonlinear state and parameter-estimation problem

  7th International Symposium on Data Assimilation

• Paper by: Evensen, G. (2019)

  Accounting for model errors in iterative ensemble smoothers

  Computational Geosciences

• Paper by: Shah, A., Bertino, L. , Counillon, F. , Gharamti, M.E., Xie, J. (2019)

  Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment

  Tellus A: Dynamic Meteorology and Oceanography

• Conf-paper by: Dallolio, A., Bertino, L. , Chrpa, L., Johansen, T.A., Ludvigsen, M., Orvik, K.A., Smedsrud, L.H., Sousa, J., Utne, I.B., Johnston, P., Rajan, K. (2019)

  Long-duration Autonomy for Open Ocean Exploration

  RSS 2019 Workshop on Robots in the Wild: Challenges in Deploying Robust Autonomy for Robotic Exploration

• Review-paper by: Traon, P.L., Reppucci, A., Fanjul, E.A., Aouf, L., Behrens, A., Belmonte, M., Bentamy, A., Bertino, L. , Brando, V.E., Kreiner, M.B., Benkiran, M., Carval, T., Ciliberti, S.A., Claustre, H., Clementi, E., Coppini, G., Cossarini, G., Alonso-Muñoyerro, M.d.A., Delamarche, A., Dibarboure, G., Dinessen, F., Drevillon, M., Drillet, Y., Faugere, Y., Fernández, V., Fleming, A., Garcia-Hermosa, M.I., Sotillo, M.G., Garric, G., Gasparin, F., Giordan, C., Gehlen, M., Gregoire, M.L., Guinehut, S., Hamon, M., Harris, C., Hernandez, F., Hinkler, J.B., Hoyer, J., Karvonen, J., Kay, S., King, R., Lavergne, T., Lemieux-Dudon, B., Lima, L., Mao, C., Martin, M.J., Masina, S., Melet, A., Nardelli, B.B., Nolan, G., Pascual, A., Pistoia, J., Palazov, A., Piollé, J., Pujol, M.I., Pequignet, A.C., Peneva, E., Gómez, B.P., Villeon, L.P.d.l., Pinardi, N., Pisano, A., Pouliquen, S., Reid, R., Remy, E., Santoleri, R., Siddorn, J., She, J., Staneva, J., Stoffelen, A., Tonani, M., Vandenbulcke, L., Schuckmann, K.v., Volpe, G., Wettre, C.D., Zacharioudaki, A. (2019)

  From observation to information and users: The Copernicus Marine Service Perspective

  Frontiers in Marine Science

• Review-paper by: Fujii, Y., Rémy, E., Hao, Z., Oke, P., Halliwell, G., Gasparin, F., Benkiran, M., Loose, N., Cummings, J., Xie, J. , Xue, Y., Masuda, S., Smith, G.C., Balmaseda, M., Germineaud, C., Lea, D.J., Larnicol, G., Bertino, L. , Bonaduce, A., Brasseur, P., Donion, C., Heimbach, P., Kim, Y., Kourafalou, V., Traon, P.L., Martin, M., Paturi, S., Tranchant, B., Usui, N. (2019)

  Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks

  Frontiers in Marine Science

• Paper by: Ali, A., Christensen, K.H., Breivik, Ø., Bertino, L. , Malila, M.P., Raj, R.P., Chassignet, E.P., Paskyabi, M.B. (2019)

  A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans

  Ocean Modelling

• Review-paper by: Smith, G.C., Allard, R., Babin, M., Bertino, L. , Chevallier, M., Corlett, G., Crout, J., Davidson, F., Delille, B., Gille, S.T., Hebert, D., Hyder, P., Intrieri, J., Lagunas, J., Larnicol, G., Kaminski, T., Kater, B.J., Kauker, F., Marec, C., Mazloff, M., Metzger, J.E., Mordy, C., O'Carroll, A., Olsen, S.M., Phelps, M., Posey, P., Prandi, P., Rehm, E., Reid, P., Rigor, I., Sandven, S., Shupe, M., Swart, S., Smedstad, O.M., Solomon, A., Storto, A., Thibaut, P., Toole, J., Wood, K., Xie, J. , Yang, Q. (2019)

  Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season

  Frontiers in Marine Science

• Book-chapter by: Brajard, J. , Bocquet, M., Carrassi, A., Bertino, L. (2019)

  Connections between data assimilation and machine learning to emulate a numerical model

  NCAR

• Paper by: Moore, A.M., Martin, M.J., Santha, A., Arango, H.G., Balmaseda, M., Bertino, L. , Ciavatta, S., Cornuelle, B., Cummings, J., Frolov, S., Lermusiaux, P., Oddo, P., Oke, P.R., Storto, A., Teruzzi, A., Vidard, A., Weaver, A.T. (2019)

  Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean

  Frontiers in Marine Science

• PhD-thesis by: Shah, A., Bertino, L. , Skaug, H.J. (2019)

  Stochastic data assimilation of observations with a detection limit

  Universitetet i Bergen

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L. (2019)

  Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

  Nonlinear processes in geophysics

• PhD-thesis by: Aalstad, K., Westermann, S., Bertino, L. (2019)

  Ensemble-based retrospective analysis of the seasonal snowpack

  University of Oslo

• Paper by: Xie, J. , Raj, R.P., Bertino, L. , Samuelsen, A., Wakamatsu, T. (2019)

  Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data

  Ocean Science

• Conf-paper by: Aalstad, K., Westermann, S., Fiddes, J., Bertino, L. (2019)

  Retrieving the depletion of snow-covered area from multiple optical satellite sensors with applications for SWE reanalysis

  Living Planet Symposium

• Paper by: Raj, R.P., Chatterjee, S., Bertino, L. , Turiel, A., Portabella, M. (2019)

  The Arctic Front and its variability in the Norwegian Sea

  Ocean Science

• Paper by: Blyverket, J., Hamer, P.D., Bertino, L. , Albergel, C., Fairbairn, D., Lahoz, W.A. (2019)

  An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US

  Remote Sensing

• Paper by: Lorentzen, R.J. , Luo, X. , Bhakta, T. , Valestrand, R. (2019)

  History Matching the Full Norne Field Model Using Seismic and Production Data

  SPE Journal

• Paper by: Lorentzen, R.J. , Bhakta, T. , Grana, D., Luo, X. , Valestrand, R. , Nævdal, G. (2019)

  Simultaneous assimilation of production and seismic data: application to the Norne field

  Computational Geosciences

• Paper by: Raanes, P.N. , Bocquet, M., Carrassi, A. (2019)

  Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

  Quarterly Journal of the Royal Meteorological Society

• Paper by: Gasda, S.E., Aavatsmark, I., Bohloli, B., Hellevang, H., Nordbotten, J.M., Wangen, M., Bjørnarå, T.I., Boon, W., Fazeli, H., Mannseth, T. , Nooraiepour, M., Park, J., Skurtveit, E., Tveit, S., Van Noort, R., Varela, J., Viken, I., Thibeau, S. (2019)

  Protection of Caprock Integrity for Large-Scale CO2 Storage on the Norwegian Continental Shelf

  International Journal of Greenhouse Gas Control

• Paper by: Chen, F., Gao, Y., Wang, Y. , Li, X. (2019)

  A downscaling-merging method for high-resolution daily precipitation estimation

  Journal of Hydrology

• Paper by: Jackson, L.C., Dubois, C., Forget, G., Haines, K., Harrison, M., Iovino, D., Köhl, A., Mignac, D., Masina, S., Peterson, K.A., Piecuch, C.G., Roberts, C., Robson, J., Storto, A., Toyoda, T., Valdivieso, M., Wilson, C., Wang, Y. , Zuo, H. (2019)

  The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses

  Journal of Geophysical Research (JGR): Oceans

• Conf-paper by: Ohm, K.S., Weibull, W.W., Luo, X. (2019)

  Uncertainty quantification in non-linear seismic inversion: A comparison of three different methods

  SEG Technical Program Expanded Abstracts 2019

• Conf-paper by: Ayed, I., de B'ezenac, E., Pajot, A., Brajard, J. , Gallinari, P. (2019)

  Learning the hidden dynamics of ocean temperature with neural networks

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Conf-paper by: Galmiche, N., Brajard, J. , Charantonis, A., Wakamatsu, T. (2019)

  Impact of sparse profile sampling on the reconstruction of subsurface ocean temperature from surface information

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Conf-paper by: Brajard, J. , Bocquet, M., Carrassi, A., Bertino, L. (2019)

  Connections between data assimilation and machine learning to emulate a numerical model

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Paper by: Luo, X. (2019)

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  PLOS ONE

• Paper by: Luo, X. , Bhakta, T. (2019)

  Automatic and adaptive localization for ensemble-based history matching

  Journal of Petroleum Science and Engineering

• Paper by: Alyaev, S. , Suter, E.C., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. (2019)

  A decision support system for multi-target geosteering

  Journal of Petroleum Science and Engineering

• Conf-paper by: Cayeux, E., Daireaux, B., Saadallah, N., Alyaev, S. (2019)

  Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications

  Society of Petroleum Engineers

• Paper by: Sommer, M., Jakobsen, M., Alyaev, S. (2019)

  Inversion of electromagnetic data while drilling using a distorted Born iterative method for anisotropic conductive media

  SEG technical program expanded abstracts

• Paper by: Ambrus, A., Saadallah, N., Alyaev, S. , Iversen, F. (2019)

  Automatic detection of anomalous drilling operations using machine learning methods and drilling process simulations

  Oil, Gas

• Paper by: Hodneland, E., Hanson, E.A., Sævareid, O., Nævdal, G. , Lundervold, A., Solteszova, V., Zanna, A., Deistung, A., Reichenbach, J., Nordbotten, J.M. (2019)

  A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model

  PLoS Computational Biology

• Paper by: Huang, X., Jakobsen, M., Nævdal, G. , Eikrem, K.S. (2019)

  Target-oriented inversion of time-lapse seismic waveform data

  Communications in Computational Physics

• PhD-thesis by: Aalstad, K., Westermann, S., Bertino, L. (2019)

  Ensemble-based retrospective analysis of the seasonal snowpack

  University of Oslo

• PhD-thesis by: Shah, A., Bertino, L. , Skaug, H.J. (2019)

  Stochastic data assimilation of observations with a detection limit

  Universitetet i Bergen

• Review-paper by: Le Traon, P., Reppucci, A., Fanjul, E.A., Aouf, L., Behrens, A., Belmonte, M., Bentamy, A., Bertino, L. , Brando, V.E., Kreiner, M.B., Benkiran, M., Carval, T., Ciliberti, S.A., Claustre, H., Clementi, E., Coppini, G., Cossarini, G., de Alfonso Alonso-Muñoyerro, M., Delamarche, A., Dibarboure, G., Dinessen, F., Drevillon, M., Drillet, Y., Faugere, Y., Fernández, V., Fleming, A., Garcia-Hermosa, M.I., Sotillo, M.G., Garric, G., Gasparin, F., Giordan, C., Gehlen, M., Gregoire, M.L., Guinehut, S., Hamon, M., Harris, C., Hernandez, F., Hinkler, J.B., Hoyer, J., Karvonen, J., Kay, S., King, R., Lavergne, T., Lemieux-Dudon, B., Lima, L., Mao, C., Martin, M.J., Masina, S., Melet, A., Nardelli, B.B., Nolan, G., Pascual, A., Pistoia, J., Palazov, A., Piollé, J., Pujol, M.I., Pequignet, A.C., Peneva, E., Gómez, B.P., de la Villeon, L.P., Pinardi, N., Pisano, A., Pouliquen, S., Reid, R., Remy, E., Santoleri, R., Siddorn, J., She, J., Staneva, J., Stoffelen, A., Tonani, M., Vandenbulcke, L., von Schuckmann, K., Volpe, G., Wettre, C.D., Zacharioudaki, A. (2019)

  From observation to information and users: The Copernicus Marine Service Perspective

  Frontiers in Marine Science

• Review-paper by: Fujii, Y., Rémy, E., Hao, Z., Oke, P., Halliwell, G., Gasparin, F., Benkiran, M., Loose, N., Cummings, J., Xie, J. , Xue, Y., Masuda, S., Smith, G.C., Balmaseda, M., Germineaud, C., Lea, D.J., Larnicol, G., Bertino, L. , Bonaduce, A., Brasseur, P., Donion, C., Heimbach, P., Kim, Y., Kourafalou, V., Le Traon, P., Martin, M., Paturi, S., Tranchant, B., Usui, N. (2019)

  Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks

  Frontiers in Marine Science

• Paper by: Hanson, E.A., Hodneland, E., Lorentzen, R.J. , Nævdal, G. , Nordbotten, J.M., Sævareid, O., Zanna, A. (2019)

  Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments

  Lecture Notes in Computational Science and Engineering

• Conf-paper by: Fossum, K. , Lorentzen, R.J. (2019)

  Assisted History Matching of 4Dseismic Data - A Comparative Study

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)

  Ensemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Kimmritz, M., Counillon, F. , Smedsrud, L.H., Bethke, I., Keenlyside, N., Ogawa, F., Wang, Y. (2019)

  Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic

  Journal of Advances in Modeling Earth Systems

• Paper by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Counillon, F. , Wang, Y. (2019)

  Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model

  Journal of Geophysical Research (JGR): Atmospheres

• Paper by: Wang, Y. , Counillon, F. , Keenlyside, N., Svendsen, L., Gleixner, S., Kimmritz, M., Dai, P., Gao, Y. (2019)

  Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF

  Climate Dynamics

• Paper by: Penny, S.G., Akella, S., Balmaseda, M.A., Browne, P., Carton, J.A., Chevallier, M., Counillon, F. , Domingues, C., Frolov, S., Heimbach, P., Hogan, P., Hoteit, I., Iovino, D., Laloyaux, P., Martin, M.J., Masina, S., Moore, A.M., de Rosnay, P., Schepers, D., Sloyan, B.M., Storto, A., Subramanian, A., Nam, S., Vitart, F., Yang, C., Fujii, Y., Zuo, H., O'Kane, T., Sandery, P., Moore, T., Chapman, C.C. (2019)

  Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction

  Frontiers in Marine Science

• Paper by: Storto, A., Alvera-Azcarate, A., Balmaseda, M.A., Barth, A., Chevallier, M., Counillon, F. , Dominiques, C.M., Drevillon, M., Drillet, Y., Forget, G., Garric, G., Haines, K., Hernandez, F., Lovino, D., Jackson, L.C., Lellouche, J., Masina, S., Mayer, M., Oke, P.R., Penny, S.G., Peterson, K.A., Yang, C., Zuo, H. (2019)

  Ocean Reanalyses: Recent Advances and Unsolved Challenges

  Frontiers in Marine Science

• Paper by: Raanes, P.N. , Stordal, A.S. , Evensen, G. (2019)

  Revising the stochastic iterative ensemble smoother

  Nonlinear processes in geophysics

• Paper by: Evensen, G. (2019)

  Accounting for model errors in iterative ensemble smoothers

  Computational Geosciences

• Paper by: Blyverket, J., Hamer, P.D., Bertino, L. , Albergel, C., Fairbairn, D., Lahoz, W.A. (2019)

  An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US

  Remote Sensing

• Paper by: Moore, A.M., Martin, M.J., Santha, A., Arango, H.G., Balmaseda, M., Bertino, L. , Ciavatta, S., Cornuelle, B., Cummings, J., Frolov, S., Lermusiaux, P., Oddo, P., Oke, P.R., Storto, A., Teruzzi, A., Vidard, A., Weaver, A.T. (2019)

  Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean

  Frontiers in Marine Science

• Paper by: Shah, A., Bertino, L. , Counillon, F. , Gharamti, M.E., Xie, J. (2019)

  Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment

  Tellus. Series A, Dynamic meteorology and oceanography

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L. (2019)

  Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

  Nonlinear processes in geophysics

• Paper by: Lorentzen, R.J. , Luo, X. , Bhakta, T. , Valestrand, R. (2019)

  History Matching the Full Norne Field Model Using Seismic and Production Data

  SPE Journal

• Paper by: Lorentzen, R.J. , Bhakta, T. , Grana, D., Luo, X. , Valestrand, R. , Nævdal, G. (2019)

  Simultaneous assimilation of production and seismic data: application to the Norne field

  Computational Geosciences

Total: 881