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Geir Evensen

Chief Scientist

Norway

Research Interests

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Professors in Norway Professors in Epidemiology Epidemiology professors in Norway

About

Geir Evensen is the Chief Scientist at NORCE Norwegian Research Centre AS in Stavanger, Norway. His research focuses on ocean reanalysis, ensemble Kalman filtering, and data assimilation techniques to improve climate and health predictions. Recent articles highlight his work on decision workflows for reservoir management and modeling pandemic impacts using multi-population approaches.

Articles (11)

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2025

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

Martin Ackermann

Professor for Microbial Systems Ecology

ETH Zürich

SWITZERLAND

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Yiguo Wang

Senior researcher

Nansen Environmental and Remote Sensing Center

NORWAY

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Alison Fowler

University of Reading

UNITED KINGDOM

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Andrey Popov

Assistant Professor

University of Hawaii at Manoa

UNITED STATES

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Sebastian Schemm

Professor and Heisenberg Fellow

University of Cambridge

UNITED KINGDOM

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Geir Evensen

Research Interests

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Articles (11)

Improving Ocean Reanalysis with the Offline Ensemble Kalman Smoother

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

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering

An ensemble-based decision workflow for reservoir management

An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

Formulating the history matching problem with consistent error statistics

A STUDY OF DISPROPORTIONATELY AFFECTED POPULATIONS BY RACE/ETHNICITY DURING THE SARS-COV-2 PANDEMIC USING MULTI-POPULATION SEIR MODELING AND ENSEMBLE DATA ASSIMILATION

Handling big models and big data sets in history-matching problems through an adaptive local analysis scheme

Subspace ensemble randomized maximum likelihood with local analysis for time-lapse-seismic-data assimilation

p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method

Collaborators (5)

Martin Ackermann

Yiguo Wang

Alison Fowler

Andrey Popov

Sebastian Schemm

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