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
Bulletin of the American Meteorological Society – American Meteorological Society
Published: Jul 28, 2018
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