How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?
文献类型：期刊论文
| 作者 | Liu, Yuanxin4,5,6; Cheng, Lijing3,4,5; Pan, Yuying3,4,5; Tan, Zhetao3,4,5; Abraham, John2; Zhang, Bin1,4; Zhu, Jiang3,4,5; Song, Junqiang6 |
| 刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| 出版日期 | 2022-04-06 |
| 页码 | 23 |
| ISSN号 | 0256-1530 |
| 关键词 | salinity climatology seasonal cycle CMIP5 CMIP6 upper ocean |
| DOI | 10.1007/s00376-022-1381-2 |
| 通讯作者 | Zhu, Jiang(jzhu@mail.iap.ac.cn) |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:000779700600002 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/178699]  |
| 专题 | 中国科学院海洋研究所 |
| 通讯作者 | Zhu, Jiang |
| 作者单位 | 1.Chinese Acad Sci, Marine Sci Data Ctr, Inst Oceanol, Qingdao 266071, Peoples R China 2.Univ St Thomas, Sch Engn, 2115 Summit Ave, St Paul, MN 55105 USA 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 5.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China 6.Natl Univ Def Technol, Coll Meteorol & Oceanog, Coll Comp Sci & Technol, Changsha 410073, Peoples R China |
| 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. |
入库方式： OAI收割
来源：海洋研究所
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