Hannah M. Christensen

Machine learning and artificial intelligence to aid climate change research and preparedness

Chris Huntingford, Elizabeth S. Jeffers, Michael B. Bonsall et al. · Environmental Research Letters · 2019 · 458 citations · Full text

Natural Sciences, Computer Science, Earth Sciences +12

Stochastic Parameterization: Toward a New View of Weather and Climate Models

Judith Berner, Ulrich Achatz, Lauriane Batté et al. · Bulletin of the American Meteorological Society · 2016 · 423 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +15

Stochastic representations of model uncertainties at ECMWF: state of the art and future vision

Martin Leutbecher, Sarah‐Jane Lock, Pirkka Ollinaho et al. · Quarterly Journal of the Royal Meteorological Society · 2017 · 271 citations

Natural Sciences, Earth Sciences, Meteorology +17

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian et al. · Journal of Advances in Modeling Earth Systems · 2020 · 203 citations · Full text

Computing, Computer Science, Meteorology +15

The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale

Malcolm Roberts, Pier Luigi Vidale, C. A. Senior et al. · Bulletin of the American Meteorological Society · 2018 · 183 citations · Full text

Natural Sciences, Earth Sciences, Infrastructure Planning +16