How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?

doi:10.1007/s00376-022-1381-2

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	How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?
	Liu, Yuanxin 1,2,3; Cheng, Lijing 2,3,4; Pan, Yuying 2,3,4; Tan, Zhetao 2,3,4; Abraham, John 5; Zhang, Bin 3,6; Zhu, Jiang 2,3,4; Song, Junqiang 1
	2022-04-06
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
ISSN	0256-1530
页码	23
通讯作者	Zhu, Jiang([email protected])
摘要	This paper includes a comprehensive assessment of 40 models from the Coupled Model Intercomparison Project phase 5 (CMIP5) and 33 models from the CMIP phase 6 (CMIP6) to determine the climatological and seasonal variation of ocean salinity from the surface to 2000 m. The general pattern of the ocean salinity climatology can be simulated by both the CMIP5 and CMIP6 models from the surface to 2000-m depth. However, this study shows an increased fresh bias in the surface and subsurface salinity in the CMIP6 multimodel mean, with a global average of -0.44 g kg(-1) for the sea surface salinity (SSS) and -0.26 g kg(-1) for the 0-1000-m averaged salinity (S1000) compared with the CMIP5 multimodel mean (-0.25 g kg(-1) for the SSS and -0.07 g kg(-1) for the S1000). In terms of the seasonal variation, both CMIP6 and CMIP5 models show positive (negative) anomalies in the first (second) half of the year in the global average SSS and S1000. The model-simulated variation in SSS is consistent with the observations, but not for S1000, suggesting a substantial uncertainty in simulating and understanding the seasonal variation in subsurface salinity. The CMIP5 and CMIP6 models overestimate the magnitude of the seasonal variation of the SSS in the tropics in the region 20 degrees S-20 degrees N but underestimate the magnitude of the seasonal change in S1000 in the Atlantic and Indian oceans. These assessments show new features of the model errors in simulating ocean salinity and support further studies of the global hydrological cycle.
关键词	salinity climatology seasonal cycle CMIP5 CMIP6 upper ocean
DOI	10.1007/s00376-022-1381-2
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42076202]; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42040402]
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000779700600002
出版者	SCIENCE PRESS
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/178700
专题	中国科学院海洋研究所
通讯作者	Zhu, Jiang
作者单位	1.Natl Univ Def Technol, Coll Meteorol & Oceanog, Coll Comp Sci & Technol, Changsha 410073, Peoples R China 2.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Univ St Thomas, Sch Engn, 2115 Summit Ave, St Paul, MN 55105 USA 6.Chinese Acad Sci, Marine Sci Data Ctr, Inst Oceanol, Qingdao 266071, Peoples R China
第一作者单位	中国科学院海洋大科学研究中心
通讯作者单位	中国科学院海洋大科学研究中心
推荐引用方式 GB/T 7714	Liu, Yuanxin,Cheng, Lijing,Pan, Yuying,et al. How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2022:23.
APA	Liu, Yuanxin.,Cheng, Lijing.,Pan, Yuying.,Tan, Zhetao.,Abraham, John.,...&Song, Junqiang.(2022).How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?.ADVANCES IN ATMOSPHERIC SCIENCES,23.
MLA	Liu, Yuanxin,et al."How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?".ADVANCES IN ATMOSPHERIC SCIENCES (2022):23.

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