The climate variability in global land precipitation in FGOALS-f3-L:A comparison between GMMIP and historical simulations

作     者：TANG Yiqiong HE Bian BAO Qing LIU Yimin LI Jinxiao WU Guoxiong TANG Yiqiong;HE Bian;BAO Qing;LIU Yimin;LI Jinxiao;WU Guoxiong

作者机构：School of Atmospheric SciencesNanjing University of Information Science and TechnologyNanjingChina State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG)Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina CAS Center for Excellence in Tibetan Plateau Earth SciencesBeijingChina College of Earth and Planetary SciencesUniversity of Chinese Academy of SciencesBeijingChina 

基　　金：jointly funded by the National Key Research and Development Program of ChinaGrant No. 2017YFA0604004 the National Natural Science Foundation of China Grant Nos. 91737306,41530426,91837101,91937302,and 41606032 

出 版 物：《Atmospheric and Oceanic Science Letters》 (大气和海洋科学快报（英文版）)

年 卷 期：2020年第13卷第6期

页      码：559-567页

摘      要：The climate variability in global land precipitation is important for the global hydrological *** on the Coupled Model Intercomparison Project Phase 6(CMIP6)historical experiments and the Global Monsoons Model Intercomparison Project(GMMIP)Tier-1 experiments,the spatialtemporal characteristics of global and regional land precipitation long-term climate changes in CAS FGOALS-f3-L are evaluated in this *** comparing these two kinds of experiments,the precipitation biases related to the SSTs are also *** results show that the two experiments could capture the precipitation trend and amplitude to a certain degree compared with *** GMMIP simulations show a higher skill than the historical runs verified by correlation coefficients partly because the observed monthly mean SST was *** the Northern Hemisphere,GMMIP can reproduce the trend and variability in global precipitation,while historical simulations cannot reproduce the trend and ***,both experiments fail to simulate the amplitude of the southern hemisphere summer precipitation *** empirical mode decomposition(EEMD)was applied to compare the simulated precipitation on different time *** sea surface temperature anomaly(SSTA)bias,especially the La Ni?a-type SSTA,is the dominant source of the model bias for simulating interannual precipitation *** authors also emphasize that the response of precipitation anomalies to the ENSO effect varies *** study highlights the importance of the multiannual variability in SSTAs in global and hemispheric precipitation *** ways to improve the simulation of global precipitation for CAS FGOALS-f3-L are also discussed.

主 题 词：CMIP6 GMMIP global precipitation simulation climate variability monsoon simulation 

学科分类：07[理学] 070601[070601] 0706[理学-大气科学类] 

核心收录：

D　O　I：10.1080/16742834.2020.1776088

馆 藏 号：203980001...