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Norwegian Center for Data Assimilation
Improving model-based estimation, prediction, and decisions
Posts
20th international EnKF workshop (2025)
Ullensvang, Norway, June 16 - 18
Examples of analogs method in data assimilation: climate model attribution, uncertainties calibration
13:15 NERSC (Copernicus). Talk by Prof. Valerie Monbet, L’Institut de recherche mathématique de Rennes (IRMAR), University Rennes 1.
Thesis disputation: Coupled data assimilation for climate prediction: a focus on ocean-atmosphere coupling
9:15-12:00, room 4020 of the Bjerknes Centre. Lilian Garcia defends her PhD thesis.
Tuning parameters of a sea ice model using machine learning
14:00 at NERSC Copernicus lecture room. Talk by Anton Korosov (NERSC).
Noise informed covariance estimation
16:00 online and NORCE 3rd floor conference room. Talk by Matthias Morzfeld of Scripps (UCSD).
Cross-validation in an iterative ensemble smoother: Stopping earlier for better
14:00 at NERSC Copernicus lecture room. Talk by Xiaodong Luo (NORCE).
Multi-fidelity Bayesian Stacking for a realistic reservoir model
14:00 at NERSC Copernicus lecture room. Talk by Kristian Fossum (NORCE).
19th international EnKF workshop (2024)
Os, Norway, June 17 - 19
High-Precision Geosteering via Reinforcement Learning and Particle Filters
14:00 at NERSC Copernicus lecture room. Talk by Ressi Bonti Muhammad (UiS).
Introducing NEDAS: the next-generation ensemble DA system
14:00 at NERSC Copernicus lecture room. Talk by Yue (Michael) Ying (NERSC).
Graph informed linear-triangular transport
14:00 at NERSC Copernicus lecture room. Talk by Berent Lunde (Equinor).
Ensemble History-Matching Workflow Using Interpretable Spade-Gan Geomodel
14:00 at NERSC Copernicus lecture room. Talk by Kristian Fossum (NORCE).
Ensemble optimisation in Jupyter
14:00 at NERSC Copernicus lecture room. Talk by Patrick N. Raanes (NORCE).
ISDA conference 2023 Permalink
International Symposium on Data Assimilation, Bologna (Italy) October 16-20.
Iterative ensemble smoothers for data assimilation in coupled nonlinear multiscale models
14:00 at NERSC Copernicus lecture room. Talk by Geir Evensen (NORCE).
Enhancing seasonal forecast skills by optimally weighting the ensemble from fresh data
14:00 at NERSC Copernicus lecture room. Talk by Julien Brajard (NERSC).
Summer school (2023): data assimilation Permalink
On data assimilation and its applications in oceanography, hydrology, risk & safety and reservoir engineering
Exploring the Links Between Machine Learning Emulators and Data Assimilation in Weather Forecasting
14:00 at NERSC Copernicus lecture room. Talk by Julien Brajard (NERSC).
18th international EnKF workshop (2023)
Norheimsund, Norway, May 2 - 5
Data assimilation to build supermodel
2pm at NERSC (Copernicus). Talk by Francois Counillon (NERSC).
Multiscale Model Diagnostic
2pm in Nansen (Copernicus meeting room). Talk by Trond Mannseth (NORCE).
An ensemble approach to study association between metastasis and high interstitial fluid pressure in pancreatic cancer
14:00 at NERSC Copernicus lecture room. Talk by Geir Nævdal (NORCE).
Correlation-Based Localization
2pm at NERSC (Copernicus). Talk by Geir Evensen (NORCE).
Explores using the coupled data assimilation in Arctic climate study: the case of sea ice thickness
2pm at Nansen (Copernicus, 1st floor). Talk by Jiping Xie (NERSC).
Verification of a real-time ensemble-based method for updating earth model based on GAN
2:30pm at Nansen (Copernicus, 1st floor). Talk by Kristian Fossum (NORCE).
Least-square linear regression (LLS) in ensemble methods
2pm at NORCE (building F, floor 3). Talk by Patrick N. Raanes (NORCE).
Frameworks for parameter estimation with NorCPM
November 3, 2 PM at Nansen (Copernicus, 1st floor). Talk by Tarkeshwar Singh (NERSC).
Exploring Machine Learning for Data Assimilation and Reanalysis at ECMWF
14:15 at NERSC Copernicus lecture room. Talk by Patrick Laloyaux (ECMWF), visitor of the CoRea project.
Super-resolution data assimilation
2pm at Nansen (Copernicus, 1st floor). Talk by Sébastien Barthélémy (UiB)
Ensemble DA with generic constraints
2pm at NORCE (floor 3). Talk by Xiaodong Luo (NORCE)
Recent developments of the multiscale alignment ensemble filtering framework
3pm at Nansen (Copernicus, 1st floor). Talk by Yue (Michael) Ying (NERSC).
Hybrid data assimilation
3pm at NORCE (building F, floor 4, end of hallway). Talk by Dean Oliver (NORCE).
Graduate course at UiB, 2022: MAT330 Permalink
University Course for BSc, MSc and PhD students Department of Mathematics – University of Bergen
Dynamically weighted hybrid-Mean/LETKF data assimilation
NERSC (Copernicus). Talk by Helena Barbieri de Azevedo.
On Wind farm layout optimisation in the LOOP Wind project
At NORCE. Talk by Kjersti Solberg Eikrem.
17th international EnKF workshop (2022)
Kviknes Hotel, Balestrand, Norway
Theoretical developments with the EnKF
10:30 am at NERSC. Talk by Sophie Mauran.
New book: Data Assimilation Fundamentals
A Unified Formulation of the State and Parameter Estimation Problem
Summer school: data assimilation Permalink
Postponed to 2023
16th international EnKF workshop (2021)
Online event
products
Tutorials on Data Assimilation Permalink
Introduction to data assimilation and the EnKF. Interactive tutorials, including, theory, code, and exercises. Runnable right in the cloud (no installation). Duration ≈ 10 hours.
DAPPER Permalink
DAPPER is a set of templates for benchmarking the performance of data assimilation (DA) methods. The tests provide experimental support and guidance for new developments in DA.
EnKF-analysis Permalink
Fortran-90 routines for EnKF analysis. Stochastic and SQRT formulations with subspace inversion.
EnKF-seir Permalink
Multi-group SEIR model with age classes in an ensemble DA system for predicting spread of the Coronavirus.
History Matching Permalink
Introduction to history matching with ensemble methods (ES, IES and more). Interactive tutorials, also including theory and code. Runnable right in the cloud (no installation). Duration ≈ 3 hours.
Interactive Sequential-decision Geosteering Benchmark
The project allows to compare the decision skills of people and robots for a synthetic multi-target geosteering scenario. The code includes: Server, Client, and Ensemble-Based Decision Support System with uncertainties updated using the EnKF. The Benchmark ...
NEDAS Permalink
NEDAS is a light-weight Python solution for implementing ensemble data assimilation methods for geophysical models, it utilizes MPI for parallelization and has a modular function-based design that allows algorithmic flexibility. NEDAS is an ideal test envir...
Robust optimisation
Improving decisions under uncertainty.
PET
PET is a toolbox for ensemble based Data-Assimilation and Optimization, developed and maintained by the data-assimilation and optimization group at NORCE Norwegian Research Centre AS.
spade-gan-inversion
Leveraging the latest conditional Generative Adversarial Networks (GANs) with spatially adaptive denormalization (SPADE), we establish a novel ensemble-based workflow that effectively captures complex geological patterns. The code performs Bayesian history-...
TOPAZ Arctic Ocean forecasts
The Arctic Monitoring and Forecasting Center as part of the Copernicus Marine Services.
project_pubs
projects
3D GiG Permalink
3D GiG develops a workflow for automatic, real-time, around-wellbore 3D geological interpretation of LWD logs for optimal well placement decisions.
4SICE Permalink
To significantly enhance dynamical sea ice prediction skill on subseasonal-to-seasonal timescales
NORCE AI-center proposal: DAI-2030 - Bridging Data Assimilation with AI!
NORCE AI center proposal
Bjerknes Climate Prediction Unit Permalink
Will European winters be milder, wetter, and more extreme in the coming years? Will conditions be beneficial for Norwegian fisheries and hydroelectric power?
Blood flow estimation Permalink done
A novel approach for the interpretation of dynamic medical imaging with emphasis on blood distribution and flow
CoRea Permalink done
Producing a reliable three-dimensional coupled reanalysis from 1850 to the present for studies on the the ocean in the climate system its variability at decadal timescales.
CSSR Permalink
The main ambitions for the centre are to provide the knowledge required for the Norwegian petroleum industry to transition to zero-emissions production.
DIGIRES Permalink done
A Petromaks-2 with industry project that aims to develop the next-generation digital workflows for sub-surface field development and reservoir management.
DigiWells Permalink
SFI DigiWells is a center for research-based innovation funded by the Research Council of Norway and the industrial partners from 2020 to 2028. We are developing new knowledge that will help to drill and position wells in the optimal manner. Our main object...
Distinguish Permalink
Distinguish develops generative-neural-network geomodels that “learn geology”. They unlock next-generation data assimilation and new predictive decision-support AI. We will combine these technologies into the geosteering workflow of the future. It proposes ...
EnSURE
Knowledge of the subsurface is critical to successful field development and reservoir management, including improved reservoir drainage and water management, reduced energy use, and better decision-making in general. A computer model of the reservoir allows...
NCS-2030 Permalink
Energy-efficient, multi-purpose utilization of the subsurface into a “Sustainable Subsurface Value Chain” to reach the net-zero-emission goals
Remedy
In 2020, the petroleum activity on the Norwegian Continental Shelf (NCS) emitted an estimated 12.5 million tons of CO2 equivalents, and NCS 84.7% of the emissions originated from energy production using gas turbines. A substantial part of the energy use is ...