Climate Modeling
Climate Modeling for the future of the planet
Since the early days of climate modeling, software, hardware, and the way that engineers and scientists collaborate have gone through incredible transformations. Better data and technologies will inform how we mitigate and adapt to global impacts, such as sea level rise, community destruction, and biodiversity loss.
Recent Updates
GFDL ML article features Spencer Clark and AI2 climate modeling research
March 2, 2023NOAA/GFDL, our collaborating climate modeling center, just featured a short article on innovative GFDL-related efforts to use ML in climate modeling…
DSL team leaves AI2, continues with NOAA and NASA, MeteoSchweiz
December 31, 2022This marks the DSL group's last day in AI2. In 2 years at Vulcan and 16 months at AI2, the DSL group, led by Oli Fuhrer, developed a ground-breaking…
AI2 CM presents at NeurIPS 2022 - ML emulation of microphysics
November 28, 2022At the Machine Learning and Physical Sciences workshop on Dec 3, Brenowitz et al. present “Emulating fast processes in climate models” on ML…
AI2 CM presents at NeurIPS 2022 - Corrective ML trained on 1 yr global storm-resolving run
November 28, 2022At the Machine Learning and Physical Sciences workshop on Dec 3, Anna Kwa presents “Machine-learned climate model corrections from a global storm…
AI2 CM presents at NeurIPS 2022 - Novelty detection for selective ML correction
November 28, 2022At the NeurIPS Climate Change AI workshop, AI2 summer intern Clayton Sanford applies novelty detection to increase the stability and accuracy of ML…
Recent Papers
Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through tuning of its interior physics
Liran Peng, Michael Pritchard, Peter N. Blossey, Walter M. Hannah, Christopher S. Bretherton, Christopher R. Terai, and Andrea M. JenneyESSOAr (submitted to the American Geophysical Union journal JAMES) • 2023 High-Resolution Multi-scale Modeling Frameworks (HR) -- global climate models that embed separate, convection-resolving models with high enough resolution to resolve boundary layer eddies -- have exciting potential for investigating low cloud feedback…Emulating Fast Processes in Climate Models
Noah Brenowitz, W. Perkins, J. M. Nugent, Oliver Watt‐Meyer, S. Clark, Anna Kwa, B. Henn, J. McGibbon, C. BrethertonNeurIPS•Machine Learning and Physical Sciences • 2022 Cloud microphysical parameterizations in atmospheric models describe the formation and evolution of clouds and precipitation, a central weather and climate process. Cloud-associated latent heating is a primary driver of large and small-scale circulations…Improving the predictions of ML-corrected climate models with novelty detection
Clayton Sanford, Anna Kwa, Oliver Watt‐Meyer, S. Clark, Noah Brenowitz, J. McGibbon, C. BrethertonNeurIPS•Climate Change AI • 2022 While previous works have shown that machine learning (ML) can improve the prediction accuracy of coarse-grid climate models, these ML-augmented methods are more vulnerable to irregular inputs than the traditional physics-based models they rely on. Because ML…Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa, S. Clark, B. Henn, Noah Brenowitz, J. McGibbon, W. Perkins, Oliver Watt‐Meyer, L. Harris, C. BrethertonNeurIPS•Machine Learning and Physical Sciences • 2022 Due to computational constraints, running global climate models (GCMs) for many years requires a lower spatial grid resolution ( (cid:38) 50 km) than is optimal for accurately resolving important physical processes. Such processes are approximated in GCMs via…Machine-learned climate model corrections from a global storm-resolving model: Performance across the annual cycle
Anna Kwa, Spencer. K. Clark, Brian Henn, Noah D. Brenowitz, Jeremy McGibbon, Oliver Watt-Meyer, W. Andre Perkins, Lucas Harris, and Christopher S. BrethertonESSOAr • 2022 One approach to improving the accuracy of a coarse-grid global climate model is to add machine-learned state-dependent corrections to the prognosed model tendencies, such that the climate model evolves more like a reference fine-grid global storm-resolving…