Member Since 2002
Chris Stephen Bretherton
Senior Director of Climate Modeling, Allen Institute for Artificial Intelligence
Chair, Climate Communication Prize Committee
Chris Bretherton is an atmospheric scientist who studies cloud formation and turbulence and improves their simulation in global climate and weather forecast models. He leads a climate modeling group at AI2 in Seattle to use machine learning trained on global cloud-resolving model output to improve climate model simulations, and is an Emeritus Professor of Atm. Sci. and Applied Math at Univ. Washington. He is an AMS Charney Award winner, AMS and AGU Fellow, and member of the NAS.
Professional Experience
Allen Institute for Artificial Intelligence
Senior Director of Climate Modeling
2021 - Present
Vulcan Inc.
Senior Director of Climate Modeling
2019 - 2021
University of Washington Seattle
Professor of Atmospheric Sciences and Applied Mathematics
1985 - 2021
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Education
Doctorate
1984
Massachusetts Institute of Technology
Doctorate
Honors & Awards
Union Fellow
Received December 2015
Citation
For fundamental contributions to the understanding of cloud processes and their role in the climate system.
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Outstanding Reviewer Award - Journal of Advances in Modeling Earth Systems
Received December 2014
Publications
Aitken Mode Aerosols Buffer Decoupled Mid‐Latitude Boundary Layer Clouds Against Precipitation Deple...
Aerosol‐cloud‐precipitation interactions are a leading source of uncertainty in estimating climate sensitivity. Remote marine boundary ...
June 22, 2024
Emulation of Cloud Microphysics in a Climate Model
March 28, 2024
AGU Abstracts
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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Volunteer Experience
2025 - 2025
Chair
Climate Communication Prize Committee
2024 - 2024
Member
Climate Communication Prize Committee
2022 - 2023
Member
Climate Communication Prize Committee
Check out all of Chris Stephen Bretherton’s AGU Research!
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