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The Super-large Ensemble Experiments of CAS FGOALS-g3.

Authors :
Lin, Pengfei
Zhao, Bowen
Wei, Jilin
Liu, Hailong
Zhang, Wenxia
Chen, Xiaolong
Jiang, Jie
Ding, Mengrong
Man, Wenmin
Jiang, Jinrong
Zhang, Xu
Ding, Yuewen
Bai, Wenrong
Jin, Chenyang
Yu, Zipeng
Li, Yiwen
Zheng, Weipeng
Zhou, Tianjun
Source :
Advances in Atmospheric Sciences. Oct2022, Vol. 39 Issue 10, p1746-1765. 20p.
Publication Year :
2022

Abstract

A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed by researchers at the Institute of Atmospheric Physics, Chinese Academy of Sciences. This is the first dataset of large ensemble simulations with a climate system model developed by a Chinese modeling center. The simulation has the largest realizations up to now worldwide in terms of single-model initial-condition large ensembles. Each member includes a historical experiment (1850–2014) and an experiment (2015–99) under the very high greenhouse gas emissions Shared Socioeconomic Pathway scenario (SSP5-8.5). The dataset includes monthly and daily temperature, precipitation, and other variables, requiring storage of 275 TB. Additionally, the surface air temperature (SAT) and land precipitation simulated by the FGOALS-g3 super-large ensemble have been validated and projected. The ensemble can capture the response of SAT and land precipitation to external forcings well, and the internal variabilities can be quantified. The availability of more than 100 realizations will help researchers to study rare events and improve the understanding of the impact of internal variability on forced climate changes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02561530
Volume :
39
Issue :
10
Database :
Academic Search Index
Journal :
Advances in Atmospheric Sciences
Publication Type :
Academic Journal
Accession number :
158311946
Full Text :
https://doi.org/10.1007/s00376-022-1439-1