A Study to determine the accuracy of satellite measurements for the salinity pattern and surface temperature of Persian Gulf using statistical method

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...

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Bibliographic Details
Published inMajallah-i ilmī-i shīlāt-i Īrān (Online) Vol. 28; no. 3; pp. 213 - 217
Main Author M. Mehdizadeh; M. Dabestani; A. Gheybi; J. Azizpour
Format Journal Article
LanguagePersian
Published Iranian Fisheries Research Organization 01.01.2019
Subjects
SSS; SST; AMSU-B sensor data; Statistical computing software R; Persian Gulf
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Summary: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.
ISSN:1026-1354
2322-5998