FN Archimer Export Format
PT J
TI A global gridded ocean salinity dataset with 0.5 degrees horizontal resolution since 1960 for the upper 2000 m
BT 
AF LI, Guancheng
   CHENG, Lijing
   PAN, Yuying
   WANG, Gongjie
   LIU, Hailong
   ZHU, Jiang
   ZHANG, Bin
   REN, Huanping
   WANG, Xutao
AS 1:1,2,3;2:1,3;3:1,3;4:4;5:1,5;6:1,3;7:6;8:6;9:2;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;
C1 Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
   Eco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, Guangzhou, China
   Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
   People’s liberation Army (PLA) 31526 Troops, Beijing, China
   State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
   Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
C2 CHINESE ACAD SCI, CHINA
   MINIST ECOL & ENVIRONM, CHINA
   CHINESE ACAD SCI, CHINA
   PEOPLES LIBERAT ARMY, CHINA
   CHINESE ACAD SCI, CHINA
   CHINESE ACAD SCI, CHINA
IN DOAJ
TC 2
UR https://archimer.ifremer.fr/doc/00842/95431/103253.pdf
   https://archimer.ifremer.fr/doc/00842/95431/103254.docx
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;Ocean salinity;mapping method;climate variability;observations;climate change
AB A gridded salinity dataset with high resolution is essential for investigating global ocean salinity variability and understanding its role in climate and the ocean ecosystem. In this study, a new version of the Institute of Atmospheric Physics gridded salinity dataset with a higher resolution (0.5 degrees by 0.5 degrees) is provided by using a revised ensemble optimal interpolation scheme with a dynamic ensemble. The performance of this dataset is evaluated using "subsample test" and the high-resolution satellite-based data. Compared with the previous 1 degrees by 1 degrees resolution IAP product, the new dataset is more capable of representing regional salinity changes with the meso-scale and small-scale signals (i.e., in the coastal and boundary currents regions), meanwhile, maintains the large-scale structure and variability. Therefore, the new dataset complements the previous data product. Besides, the new dataset is compared with in situ observations and several international salinity products for the salinity multiscale variabilities and patterns. The comparison shows the smaller magnitude of mean difference and Root-mean-square deviation (RMSD) in basin scale for the new dataset, some differences in strength and fine structure of the "fresh gets fresher, salty gets saltier" surface and subsurface salinity pattern amplification trends from 1980 to 2017, a broad similarity for the salinity changes associated with El Nino-Southern Oscillation (ENSO) and a consistent salinity dipole mode in the tropical Indian Ocean (S-IOD). These results support the future use of gridded salinity data. 
PY 2023
PD MAR
SO Frontiers In Marine Science
PU Frontiers Media Sa
VL 10
UT 000962190600001
DI 10.3389/fmars.2023.1108919
ID 95431
ER

EF