Publication Date:
2021-05-19
Description:
The aim of this paper is to determine the sea surface salinity (SSS) and temperature (SST) of Persian Gulf by using the AMSU-B sensor data of NOAA-16 satellite. A multiple linear regression method was used by statistical computing software R on AMSU-B data and in-situ data. Based on the results, the correlation coefficient (R2) for salinity and temperature was 0.85 and 0.94, respectively. Also, the Root Mean Square Error (RMSE) between satellite and ‘in-situ’ data are 0.045 psu for SSS and 0.12 for temperature. This indicates that in this study the AMSU-B satellite data for determining the salinity pattern and surface temperature is accurate enough.
Description:
Published
Keywords:
Salinity
;
Temperature
;
Satellite
;
Surface
;
Ecology
Repository Name:
AquaDocs
Type:
Journal Contribution
,
Refereed
Format:
pp.213-217
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