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A Study to determine the accuracy of satellite measurements for the salinity pattern and surface temperature of Persian Gulf using statistical method
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M.M. Mehdizadeh *   1, M. Dabestani2 , A.H. Gheybi2 , J. Azizpour3 |
1- Department of Non-biologic Atmospheric and oceanic Sciences, Faculty of Marine Science and Technology, University of Hormozgan Bandar Abbas, Iran
2- University of Hormozgan
3- Ocean Science Research Center,Nowshahr |
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Abstract: (2917 Views) |
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. |
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| Keywords: SSS, SST, AMSU-B sensor data, Statistical computing software R, Persian Gulf |
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Full-Text [PDF 353 kb]
(1072 Downloads)
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Type of Study: Research |
Subject:
اكولوژي محيطهاي آبي
Received: 2018/10/14 | Accepted: 2019/07/20 | Published: 2019/07/20
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