FGOALS-g3 Model Datasets for CMIP6 Flux-Anomaly-Forced Model Intercomparison Project
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FGOALS-g3 Model Datasets for CMIP6 Flux-Anomaly-Forced Model Intercomparison Project Yaqi WANG1,2, Zipeng YU1,2, Pengfei LIN1,2, Hailong LIU*1,2, Jiangbo JIN3, Lijuan LI1, Yanli TANG1, Li DONG1, Kangjun CHEN1, Yiwen LI1,2, Qian YANG1,2, Mengrong DING1,2, Yao MENG1,2, Bowen ZHAO1,2, Jilin WEI1,2, Jinfeng MA1, and Zhikuo SUN4 1State
Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2College
of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
3International
Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
4School
of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Nature Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China (Received 27 February 2020; revised 3 June 2020; accepted 18 June 2020) ABSTRACT
The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) is an endorsed Model Intercomparison Project in phase 6 of the Coupled Model Intercomparison Project (CMIP6). The goal of FAFMIP is to investigate the spread in the atmosphere–ocean general circulation model projections of ocean climate change forced by increased CO2, including the uncertainties in the simulations of ocean heat uptake, global mean sea level rise due to ocean thermal expansion and dynamic sea level change due to ocean circulation and density changes. The FAFMIP experiments have already been conducted with the Flexible Global Ocean–Atmosphere–Land System Model, gridpoint version 3.0 (FGOALS-g3). The model datasets have been submitted to the Earth System Grid Federation (ESGF) node. Here, the details of the experiments, the output variables and some baseline results are presented. Compared with the preliminary results of other models, the evolutions of global mean variables can be reproduced well by FGOALS-g3. The simulations of spatial patterns are also consistent with those of other models in most regions except the North Atlantic and the Southern Ocean, indicating large uncertainties in the regional sea level projections of these two regions. Key words: FAFMIP, CMIP6, global mean sea level rise, dynamic sea level change Citation: Wang, Y. Q., and Coauthors, 2020: FGOALS-g3 Model Datasets for CMIP6 Flux-Anomaly-Forced Model Intercomparison Project. Adv. Atmos. Sci., 37(10), 1093−1101, https://doi.org/10.1007/s00376-020-2045-8.
1. Background and summary Understanding changes in global and regional sea levels is of paramount importance, as they both reflect the natural and anthropogenic changes in the climate system and affect the livelihoods of people in coastal areas (Church et al., 2013). One of the main causes of global mean sea level rise (GMSLR) is ocean thermal expansion, with the rest mostly due to the loss of land ice. Based on phase 5 of the Coupled Model Intercomparison Project (CMIP5) multim
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