Simulated Sea Surface Salinity Data from a 1/48° Ocean Model

被引:0
作者
Bingham, Frederick M. [1 ]
Fournier, Severine [2 ]
Brodnitz, Susannah [1 ]
Hayashi, Akiko [2 ]
Kuusela, Mikael [3 ]
Westbrook, Elizabeth [1 ]
Carlin, Karly M. Ulfsax [4 ]
Gonzalez-Haro, Cristina [5 ,6 ]
Gonzalez-Gambau, Veronica [5 ,6 ]
机构
[1] Univ North Carolina Wilmington, Ctr Marine Sci, Wilmington, NC 28403 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[3] Carnegie Mellon Univ, Dept Stat & Data Sci, Pittsburgh, PA 15213 USA
[4] Catlin Engineers & Scientists, Wilmington, NC 28405 USA
[5] Inst Marine Sci ICM CSIC, Barcelona 08003, Spain
[6] Inst Marine Sci ICM CSIC, Barcelona 08003, Spain
基金
美国国家航空航天局;
关键词
AQUARIUS; VARIABILITY; VALIDATION; PRODUCTS; SMOS;
D O I
10.1038/s41597-024-03314-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To study the validation process for sea surface salinity (SSS) we have generated one year (November 2011- October 2012) of simulated satellite and in situ "ground truth" data. This was done using the ECCO (Estimating the Circulation and Climate of the Oceans) 1/48 degrees simulation, the highest resolution global ocean model currently available. The ground tracks of three satellites, Aquarius, SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture and Ocean Salinity) were extracted and used to sample the model with a gaussian weighting similar to that of the spaceborne sensor ground footprint. This produced simulated level 2 (L2) data. Simulated level 3 (L3) data were then produced by averaging L2 data onto a regular grid. The model was sampled to produce simulated Argo and tropical mooring SSS datasets. The Argo data were combined into a simulated gridded monthly 1 degrees Argo product. The simulated data produced from this effort have been used to study sampling errors, matchups, subfootprint variability and the validation process for SSS at L2 and L3.
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页数:11
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