Interannual variability of the sea surface salinity and its related freshwater flux in the tropical Pacific:A comparison of CMIP5 and CMIP6  

作　　者：Hai Zhi Yu Huang Pengfei Lin Shiwei Shi Meng Dong 

机构地区：[1]College of Atmospheric Sciences,Nanjing University of Information Science and Technology,Nanjing,China [2]State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics(IAP),Chinese Academy of Sciences,Beijing,China [3]College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing,China

出　　处：《Atmospheric and Oceanic Science Letters》2022年第4期6-12,共7页大气和海洋科学快报（英文版）

基　　金：This study was supported by the National Key Research and Development Program on the Monitoring,Early Warning and Prevention of Major Natural Disasters[grant numbers 2019YFC1510004 and 2018YFC1506002];the Jiangsu Collaborative Innovation Center for Climate Change.

摘　　要：This paper assesses the interannual variabilities of simulated sea surface salinity(SSS)and freshwater flux(FWF)in the tropical Pacific from phases 5 and 6 of the Coupled Model Intercomparison Project(CMIP5 and CMIP6).The authors focus on comparing the simulated SSS and FWF responses to El Nino–Southern Oscillation(ENSO)from two generations of models developed by the same group.The results show that CMIP5 and CMIP6 models can perform well in simulating the spatial distributions of the SSS and FWF responses associated with ENSO,as well as their relationship.It is found that most CMIP6 models have improved in simulating the geographical distribution of the SSS and FWF interannual variability in the tropical Pacific compared to CMIP5 models.In particular,CMIP6 models have corrected the underestimation of the spatial relationship of the FWF and SSS variability with ENSO in the central-western Pacific.In addition,CMIP6 models outperform CMIP5 models in simulating the FWF interannual variability(spatial distribution and intensity)in the tropical Pacific.However,as a whole,CMIP6 models do not show improved skill scores for SSS interannual variability,which is due to their overestimation of the intensity in some models.Large uncertainties exist in simulating the interannual variability of SSS among CMIP5 and CMIP6 models and some improvements with respect to physical processes are needed.通过比较CMIP5和CMIP6来自同一个单位两代模式模拟,表明CMIP5和CMIP6均能较好地模拟出热带太平洋的海表盐度(SSS)和淡水通量(FWF)对ENSO响应的分布及其响应间的关系.与CMIP5模式相比,大部份CMIP6模式模拟的SSS和FWF年际变化分布均呈现改进,特别是纠正了较低的中西太平洋SSS和FWF变化的空间关系.但是,整体上,CMIP6模式模拟的SSS年际变化技巧没有提高,与SSS年际变率的强度被高估有关.CMIP5和CMIP6模式模拟SSS的年际变化还存在较大的不确定性,在物理方面需要改进.

关 键 词：Interannual variability Sea surface salinity Sea surface temperature Coupled model intercomparison project 

分 类 号：P731.12[天文地球—海洋科学]