Classification of Interannual Surface Layer Salinity Variability

Author:

Katsura S.12ORCID,Sprintall J.1ORCID,Kido S.3ORCID,Tanimoto Y.34,Nonaka M.3ORCID

Affiliation:

1. Scripps Institution of Oceanography University of California San Diego CA USA

2. Now at Atmosphere and Ocean Research Institute The University of Tokyo Kashiwa Japan

3. Application Laboratory Research Institute for Value‐Added‐Information Generation Japan Agency for Marine‐Earth Science and Technology Yokohama Japan

4. Faculty of Environmental Earth Science Hokkaido University Sapporo Japan

Abstract

AbstractSince surface layer salinity (SLS) mainly reflects sea surface freshwater flux and affects ocean circulation and upper ocean stratification by modifying seawater density, knowledge of SLS variability is important to better understand the global hydrological cycle and ocean and climate variability. The global pattern of SLS interannual variability has not received as much attention compared to the seasonal variability. The SLS interannual variability in the global ocean based on Argo profiling float data over 2003–2020 was classified into seven individual clusters. SLS interannual variability was found to be regionally different even within each ocean basin and primarily corresponded to large‐scale climate mode variability. The spatial distribution of the classified SLS clusters provides the first map of SLS interannual variability in the global ocean that largely reflects the variability of the global hydrological cycle.

Funder

Japan Society for the Promotion of Science

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparative Analysis for Atmospheric Oscillations;Çukurova Üniversitesi Mühendislik Fakültesi Dergisi;2023-07-28

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