CAS FGOALS-g3 Model Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP)

This paper describes the datasets from the Scenario Model Intercomparison Project (ScenarioMIP) simulation experiments run with the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System Model, GridPoint version 3 (CAS FGOALS-g3). FGOALS-g3 is driven by eight shared socioeconomic p...

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Published in:Advances in atmospheric sciences Vol. 37; no. 10; pp. 1081 - 1092
Main Authors: Pu, Ye, Liu, Hongbo, Yan, Ruojing, Yang, Hao, Xia, Kun, Li, Yiyuan, Dong, Li, Li, Lijuan, Wang, He, Nie, Yan, Song, Mirong, Xie, Jinbo, Zhao, Shuwen, Chen, Kangjun, Wang, Bin, Li, Jianghao, Zuo, Ling
Format: Journal Article
Language:English
Published: Heidelberg Science Press 01-10-2020
Springer Nature B.V
Department of Atmospheric Sciences, Yunnan University, Kunming650504, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing100029, China%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing100049, China%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing100029, China
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Summary:This paper describes the datasets from the Scenario Model Intercomparison Project (ScenarioMIP) simulation experiments run with the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System Model, GridPoint version 3 (CAS FGOALS-g3). FGOALS-g3 is driven by eight shared socioeconomic pathways (SSPs) with different sets of future emission, concentration, and land-use scenarios. All Tier 1 and 2 experiments were carried out and were initialized using historical runs. A branch run method was used for the ensemble simulations. Model outputs were three-hourly, six-hourly, daily, and/or monthly mean values for the primary variables of the four component models. An evaluation and analysis of the simulations is also presented. The present results are expected to aid research into future climate change and socio-economic development.
ISSN:0256-1530
1861-9533
DOI:10.1007/s00376-020-2032-0