Coordination to Understand and Reduce Global Model Biases by U.S. and Chinese Institutions

Coordination to Understand and Reduce Global Model Biases by U.S. and Chinese Institutions COORDINATION TO UNDERSTAND AND REDUCE GLOBAL MODEL BIASES BY U.S. AND CHINESE INSTITUTIONS M. Zhang , a . Mariotti , Z. Lin , V. r a Mas Ma My, J. La Marque , Z. Xie, and J. Zhu ystematic biases in coupled ocean–atmosphere A U.S.–CHINA COUPLED MODEL INTERCOMPARISON models and Earth system models (ESMs) impact S their fidelity to predict climate variability and WORKSHOP future changes. These biases will affect the simula- What : The first bilateral workshop to coordinate tion results in the upcoming phase 6 of the Coupled diagnoses of global climate models and Model Intercomparison Project (CMIP6; Eyring et al. resolution of key biases with 60 attendees from 2016). Complementary to the broad efforts in the in- three U.S. and six Chinese modeling institutions. ternational community to confront these biases, there When : 23–25 August 2017 are benefits of focused collaborations by a smaller Where : Beijing, China number of modeling groups to diagnose, understand, and investigate specific biases of mutual interests. These collaborations allow for discussions of model development priorities and coordinated process- oriented diagnostics and numerical experiments. Recognizing the benefits of such collaborations, representatives of modeling centers from the United AFFILIATIONS: Zhang —Stony Brook http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

Coordination to Understand and Reduce Global Model Biases by U.S. and Chinese Institutions

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
eISSN
1520-0477
D.O.I.
10.1175/BAMS-D-17-0301.1
Publisher site
See Article on Publisher Site

Abstract

COORDINATION TO UNDERSTAND AND REDUCE GLOBAL MODEL BIASES BY U.S. AND CHINESE INSTITUTIONS M. Zhang , a . Mariotti , Z. Lin , V. r a Mas Ma My, J. La Marque , Z. Xie, and J. Zhu ystematic biases in coupled ocean–atmosphere A U.S.–CHINA COUPLED MODEL INTERCOMPARISON models and Earth system models (ESMs) impact S their fidelity to predict climate variability and WORKSHOP future changes. These biases will affect the simula- What : The first bilateral workshop to coordinate tion results in the upcoming phase 6 of the Coupled diagnoses of global climate models and Model Intercomparison Project (CMIP6; Eyring et al. resolution of key biases with 60 attendees from 2016). Complementary to the broad efforts in the in- three U.S. and six Chinese modeling institutions. ternational community to confront these biases, there When : 23–25 August 2017 are benefits of focused collaborations by a smaller Where : Beijing, China number of modeling groups to diagnose, understand, and investigate specific biases of mutual interests. These collaborations allow for discussions of model development priorities and coordinated process- oriented diagnostics and numerical experiments. Recognizing the benefits of such collaborations, representatives of modeling centers from the United AFFILIATIONS: Zhang —Stony Brook

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Jul 28, 2018

References

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