HC
Hannah M. Christensen
physics.ao-phcs.LGclimate modellingforcing datageostrophic windshigh‐resolution modelingIndian Ocean/warm poolmachine learningMachine learningNERC Cascade project
On Valency
published · living versionsW_c886jcs8·v1 · currentpublished
How Do AI Climate Models Respond to Warming Across Climate Zones?
with Charlotte C. Merchant, Milan Klöwer, Bradley Stanley-Clamp, Maren Höver +2
1 version
W_t9wkpg2c·v1published
Preprints & journals
15 papers in the corpus · 2015–2026How Do AI Climate Models Respond to Warming Across Climate Zones?2608.17986v1 · Charlotte C. Merchant, Milan Klower, Bradley Stanley-Clamp et al.2026 · 0 citationsarXivon Valency
ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model2603.28704v3 · Bobby Antonio, Kristian Strommen, Pablo Ortega et al.2026 · 0 citationsarXiv
Error in ERA5 2m Temperature identified using GraphCast2601.04701v1 · Hannah M. Christensen, Jack Barker, Bobby Antonio et al.2026 · 0 citationsarXiv
Seasonal forecasting using the GenCast probabilistic machine learning model.41853759 · Antonio, Bobby, Strommen, Kristian, Christensen, Hannah M2026 · 3 citationsClimate dynamics. 2026;64(4):148
Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models2511.23448v1 · Laura A. Mansfield, Hannah M. Christensen2025 · 0 citationsarXiv
The Link between Gulf Stream Precipitation and European Blocking in General Circulation Models and the Role of Horizontal Resolution2406.12597v1 · Kristian Strommen, Simon L. L. Michel, Hannah M. Christensen2024 · 0 citationsarXiv
Defining error accumulation in ML atmospheric simulators2405.14714v1 · Raghul Parthipan, Mohit Anand, Hannah M. Christensen et al.2024 · 1 citationarXiv
Machine Learning for Stochastic Parametrisation2402.09471v1 · Hannah M. Christensen, Salah Kouhen, Greta Miller et al.2024 · 0 citationsarXiv
Insights into the quantification and reporting of model-related uncertainty across different disciplines.36465136 · Simmonds, Emily G, Adjei, Kwaku Peprah, Andersen, Christoffer Wold et al.2024 · 33 citationsiScience. 2022;25(12):105512
Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model2203.14814v4 · Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking et al.2022 · 5 citationsarXiv
The Fractal Nature of Clouds in Global Storm-Resolving Models2108.08565v1 · Hannah M. Christensen, Oliver G. A. Driver2021 · 39 citationsarXiv
Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI.33583261 · Chantry, Matthew, Christensen, Hannah, Dueben, Peter et al.2021 · 175 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2021;379(2194):20200083
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model1909.04711v1 · David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian et al.2019 · 190 citationsarXiv
Forcing Single-Column Models Using High-Resolution Model Simulations.30333902 · Christensen, Hannah M, Dawson, Andrew, Holloway, Christopher E2023 · 13 citationsJournal of advances in modeling earth systems. 2018;10(8):1833-1857
Stochastic Parameterization: Towards a new view of Weather and Climate Models1510.08682v2 · Judith Berner, Ulrich Achatz, Lauriane Batte et al.2015 · 414 citationsarXivon Valency
Career total: at least 127 works. 15 are in this corpus.
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