Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOAL
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• Data Description Article •
Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOALS-f3-L Shuwen ZHAO1,2, Yongqiang YU*1,2,3, Pengfei LIN1,2, Hailong LIU1,2, Bian HE1,2, Qing BAO1,2, Yuyang GUO1,2, Lijuan HUA4, Kangjun CHEN1,2, and Xiaowei WANG1,2,5 1State
Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China 2University 3Center
of Chinese Academy of Sciences, Beijing 100049, China
for ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China 4Chinese
Academy of Meteorological Sciences, Beijing 100081, China 5Yunnan
University, Kunming 650091, China
(Received 17 April 2020; revised 29 August 2020; accepted 8 September 2020) ABSTRACT The datasets for the tier-1 Scenario Model Intercomparison Project (ScenarioMIP) experiments from the Chinese Academy of Sciences (CAS) Flexible Global Ocean–Atmosphere–Land System model, finite-volume version 3 (CAS FGOALS-f3-L) are described in this study. ScenarioMIP is one of the core MIP experiments in phase 6 of the Coupled Model Intercomparison Project (CMIP6). Considering future CO2, CH4, N2O and other gases’ concentrations, as well as land use, the design of ScenarioMIP involves eight pathways, including two tiers (tier-1 and tier-2) of priority. Tier-1 includes four combined Shared Socioeconomic Pathways (SSPs) with radiative forcing, i.e., SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5, in which the globally averaged radiative forcing at the top of the atmosphere around the year 2100 is approximately 2.6, 4.5, 7.0 and 8.5 W m−2, respectively. This study provides an introduction to the ScenarioMIP datasets of this model, such as their storage location, sizes, variables, etc. Preliminary analysis indicates that surface air temperatures will increase by about 1.89°C, 3.07°C, 4.06°C and 5.17°C by around 2100 under these four scenarios, respectively. Meanwhile, some other key climate variables, such as sea-ice extension, precipitation, heat content, and sea level rise, also show significant long-term trends associated with the radiative forcing increases. These datasets will help us understand how the climate will change under different anthropogenic and radiative forcings. Key words: CMIP6, ScenarioMIP, FGOALS-f3-L, coupled model, data description Citation: Zhao, S. W., and Coauthors, 2021: Datasets for CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) simulations with the coupled model CAS FGOALS-f3-L. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-020-0112-9. (in press)
1. Introduction The state-of-the-art earth/climate system model is an important tool to investigate multi-sphere interaction of the climate system as well as reproduce the past climate change and project future climate change. A modeling group from the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospher
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