supported by the National Natural Science Foundation of China(NFSC;Grant No.42030410);Laoshan Laboratory(No.LSKJ202202402);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB40000000);the Startup Foundation for Introducing Talent of NUIST.
El Niño-Southern Oscillation(ENSO)is the strongest interannual climate mode influencing the coupled ocean-atmosphere system in the tropical Pacific,and numerous dynamical and statistical models have been developed to ...
supported by the National Natural Science Foundation of China(NSFC;Grant No.42275061);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB40000000);the Laoshan Laboratory(Grant No.LSKJ202202404);the NSFC(Grant No.42030410);the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology.
A previously developed hybrid coupled model(HCM)is composed of an intermediate tropical Pacific Ocean model and a global atmospheric general circulation model(AGCM),denoted as HCMAGCM.In this study,different El Niño f...
jointly supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDA19060102 and XDB42000000);National Natural Science Foundation of China(Grant Nos.91958201 and 42130608);the National Key Research and Development Program of China(Grant No.2020YFA0608800);supported by the National Key Scientific and Technological Infrastructure project“Earth System Numerical Simulation Facility”(EarthLab)。
Following the High-Resolution Model Intercomparison Project(HighResMIP)Tier 2 protocol under the Coupled Model Intercomparison Project Phase 6(CMIP6),three numerical experiments are conducted with the Chinese Academy ...
jointly supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA19020202);Key Research Program of Frontier Sciences,the Chinese Academy of Sciences(Grant No.ZDBS-LYDQC010);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB42000000);the open fund of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography(Grant No.QNHX2017);supported by the National Natural Science Foundation of China(Grant No.41706028)。
State-of-the-art coupled general circulation models(CGCMs)are used to predict ocean heat uptake(OHU)and sealevel change under global warming.However,the projections of different models vary,resulting in high uncertain...
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDA19060102 and XDB42000000);the National Natural Science Foundation of China(Grants Nos.41530426 and 91958201)。
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...
This study is jointly supported by the Strategic Priority Research Program of Chinese Academy of Sciences(Grant Nos.XDA19060102 and XDB42010400);the Natural Science Foundation of China(Grant Nos.41530426,91958201 and 41931183).
The three-member historical simulations by the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System model,version f3-L(CAS FGOALS-f3-L),which is contributing to phase 6 of the Coupled Model Inter...
jointly supported by the National Key Research and Development Program of China(Grant No.2018YFA0606003);the National Natural Science Foundation of China(Grant Nos.41875132 and 41575105);the Jiangsu Collaborative Innovation Center for Climate Change。
Regional coupled modeling is one of the frontiers of regional climate modeling,but intercomparison has not been well coordinated.In this study,a community regional climate model,WRF4,with a resolution of 15 km,was cou...
supported by the Fundamental Research Funds for the Central Universities (Grant No. 22120190 207);the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA19060102);the National Key Research and Development Program of China (Grant No. 2017YFC1404102(2017YFC1404100));the National Programme on Global Change and Air-Sea Interaction (Grant No. GASIIPOVAI-06);National Natural Science Foundation of China (Grant Nos. 41690122(41690120), 41490644(41490640), 414210 05);the Taishan Scholarship;the Institute of Oceanology, Chinese Academy of Sciences, for providing technical support for IOCAS ICM
The predictability of El Ni-o-Southern Oscillation (ENSO) has been an important area of study for years. Searching for the optimal precursor (OPR) of ENSO occurrence is an effective way to understand its predictabilit...
financially supported by the National Key R&D Program of China (Grant No. 2017 YFA0603702);the National Natural Science Foundation (Grant Nos. 41705046, 41606112 and 41571019);the Key Research and Development Program of Shandong Province of China (Grant No. 2016JMRH0538)
In this study, the CERES(Crop Estimation through Resource and Environment Synthesis) crop model was coupled with CLM3.5, the land module of the regional climate model RegCM4. The new coupled model was named RegCM4_CER...
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA19060102);the National Natural Science Foundation of China (Grant Nos. 41475101, 41690122, 41690120 and 41421005);the National Programme on Global Change and Air–Sea Interaction Interaction (Grant Nos. GASI-IPOVAI-06 and GASI-IPOVAI-01-01)
Previous studies indicate that ENSO predictions are particularly sensitive to the initial conditions in some key areas(socalled "sensitive areas"). And yet, few studies have quantified improvements in prediction s...