Member Since 2002
Chris Stephen Bretherton
Senior Director of Climate Modeling, Allen Institute for Artificial Intelligence
AGU Research
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ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
DATA-DRIVEN SCIENCE: DEVELOPMENTS IN MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS AND IN REANALYSES ACROSS EARTH SYSTEM MODELING I ORAL
nonlinear geophysics | 12 december 2024
Akshay Subramaniam, Sungduk Yu, Zeyuan Hu, Walter ...
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing cri...
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Enhancing Low Cloud Feedback Analysis through Advanced High-Resolution Multi-scale Modeling Framework (HR-MMF)
BOUNDARY LAYER CLOUDS AND CLIMATE CHANGE II ORAL
atmospheric sciences | 11 december 2024
Liran Peng, Peter N. Blossey, Walter Hannah, Chris...
The High-Resolution Multi-scale Modeling Framework (HR-MMF) offers significant advancements in studying low cloud feedback by explicitly simulating sm...
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Coupling the Ai2 Climate Emulator to a Slab Ocean and Learning the Sensitivity to Changes in CO2
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ADVANCING EARTH SYSTEM MODELING, DATA STORAGE, AND PROCESSING III ELIGHTNING
informatics | 10 december 2024
Spencer Clark, Oliver Watt-Meyer, Anna Kwa, Jeremy...
The Ai2 Climate Emulator (ACE) is a machine-learning-based emulator of a physics-based global atmosphere model. It is one of the first models of its k...
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ACE2: Learning Realistic Atmospheric Variability and Forced Responses on Time Scales From Days to Decades
DEEP LEARNING FOR CLIMATE AND WEATHER I ORAL
global environmental change | 10 december 2024
Oliver Watt-Meyer, Spencer Clark, Gideon Dresdner,...
Deep learning models have demonstrated state of the art performance for medium range global weather prediction. However, their abilities to accurately...
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The AI2 Climate Emulator (ACE): Capabilities, Challenges, and Opportunities
ADVANCES IN EMULATING EARTH SYSTEM MODELS II ORAL
global environmental change | 09 december 2024
Christopher S. Bretherton, Oliver Watt-Meyer, Spen...
ACE is designed to speedily emulate the weather and climate of a global atmosphere-land model (AGCM) or an observational reanalysis. ACE is based on N...
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Precipitation Extreme Response to Warming Across Different Time and Spatial Scales
BRIDGING THE GAP FROM CLIMATE TO EXTREME WEATHER: OBSERVATIONS, THEORY, AND MODELING I ORAL
atmospheric sciences | 09 december 2024
Ilai Guendelman, Timothy M. Merlis, Stephan Fuegli...
Extreme precipitation events are usually localized in space and time. The small scale nature of these events pose a significant challenge for traditio...
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Aitken Mode Aerosols Buffer Decoupled Mid‐Latitude Boundary Layer Clouds Against Precipitation Depletion
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES
22 june 2024
Isabel McCoy, Matthew C. Wyant, Peter N. Blossey, ...
Aerosol‐cloud‐precipitation interactions are a leading source of uncertainty in estimating climate sensitivity. Remote marine boundary ...
Emulation of Cloud Microphysics in a Climate Model
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
28 march 2024
Andre Perkins, Noah Brenowitz, Christopher S. Bret...
We present a machine learning based emulator of a microphysics scheme for condensation and precipitation processes (Zhao‐Carr) used operation...