Publications 2024

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

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

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

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

  Journal of Hydrology

• Paper by: Luo, X. , Ranazzi, P.

  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.

  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.

  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.

  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.

  Robust Optimization Using the Mean Model with Bias Correction

  Mathematical Geosciences

• Paper by: Ba, Y., Oliver, D.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Multi-fidelity Bayesian Stacking for a realistic reservoir model

  Energy Norway 2024

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

  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.

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

  ECMOR 2024

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Wind-powered oil production: subsurface challenges and digital solutions

  Reservoir & Production Management 2024

• Conf-paper by: Lorentzen, R.J.

  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.

  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.

  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.

  Non-Gaussian Ensemble Optimization

  Mathematical Geosciences

• Conf-paper by: Nævdal, G.

  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.

  APPROACHES FOR CARBON DIOXIDE DEGASSING UNIT AUTOMATION

  Aqua 2024

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

  Satellite sea drift observations for tuning a sea ice model parameters

  Winter Satellite Workshop

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

  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.

  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.

  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.

  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.

  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.

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

  EGU 2024

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

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

  Hohai University

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

  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.

  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.

  The Emerging Arctic Shipping Corridors

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Wang, Y.

  Towards skillful subseasonal-to-seasonal sea ice prediction

  Digital workshop on China-Norway joint research projects

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

  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.

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

  BCPU meeting

• Conf-paper by: Wang, Y.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Improving climate reanalysis with the offline ensemble Kalman smoother

  EnKF workshop 2024

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Forecasting of harmful algae blooms (HABs)

  FORMAL scientific day 2024

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

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

  Climate Dynamics

• Conf-paper by: Evensen, G.

  Ensemble History Matching with consistent uncertainty modelling

  Reservoir & Production Management Conference 2024

• Conf-paper by: Evensen, G.

  Iterative ensemble smoothers for data assimilation

  Summer School: Data Assimilation for Geosciences

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

  Iterative Ensemble Smoothers for Data Assimilation in Coupled Nonlinear Multiscale Models

  Monthly Weather Review

• Conf-paper by: Evensen, G.

  On the formulation of the ensemble history-matching problem

  PAUQ: International Workshop : Practical Data Assimilation and Uncertainty Quantification

• Conf-paper by: Evensen, G.

  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.

  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.

  Hybrid covariance super-resolution data assimilation

  International Liège colloquium on Ocean Dynamics

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

  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.

  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.

  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.

  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.

  Hybrid covariance super-resolution data assimilation

  Ocean Dynamics

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Accelerated ensemble optimization using momentum methods

  Scientific Reports

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

  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.

  Hybrid covariance super-resolution data assimilation

  Ocean Dynamics

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Non-Gaussian Ensemble Optimization

  Mathematical Geosciences

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

  Probalistic models for harmful algae: application to the Norwegian coast

  Environmental Data Science (EDS)

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Improving short-term sea ice concentration forecasts using deep learning

  The Cryosphere

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

  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.

  Application of Machine Learning to Predict Blockage in Multiphase Flow

  Computation

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

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

  BMC Pregnancy and Childbirth

Total: 168