CS
Member Since 2002
Chris Stephen Bretherton
Senior Director of Climate Modeling, Allen Institute for Artificial Intelligence
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
Massachusetts Institute of Technology
Doctorate
1984
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
Current Roles
Member
Climate Communication Prize Committee
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
Reservoir Computing for Sea Surface Temperature Prediction in Earth System Digital Twins
MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGIES FOR CLIMATE AND WEATHER SIMULATION II POSTER
informatics | 15 december 2023
Paula Harder, Anna Kwa, Andre Perkins, Christopher...
Machine Learning emulators of global climate models give the opportunity to run simulations at the fraction of computational costs compared to traditi...
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Low Cloud Feedback study with High-Resolution Multi-scale Modeling Frameworks (HR-MMF)
BOUNDARY LAYER CLOUDS AND CLIMATE CHANGE II POSTER
atmospheric sciences | 14 december 2023
Liran Peng, Peter N. Blossey, Walter Hannah, Chris...
High-Resolution Multi-scale Modeling Frameworks (HR-MMF), which incorporate individual convection-resolving models with sufficient resolution to delin...
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Neural network parameterization of subgrid-scale physics from a realistic geography global storm-resolving simulation
MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS FOR EARTH SYSTEM MODELING II POSTER
nonlinear geophysics | 14 december 2023
Oliver Watt-Meyer, Noah Brenowitz, Spencer Clark, ...
Parameterization of subgrid-scale processes is a major source of uncertainty in global atmospheric model simulations. Global storm-resolving simulatio...
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Volunteer Experience
2024 - Present
Member
Climate Communication Prize Committee
2022 - 2023
Member
Climate Communication Prize Committee
2019 - 2020
Member
Atmospheric Sciences Ascent Award Committee
Check out all of Chris Stephen Bretherton’s AGU Research!
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