
A Study to determine the accuracy of satellite measurements for the salinity pattern and surface temperature of Persian Gulf using statistical method | ||
مجله علمی شیلات ایران | ||
Article 20, Volume 28, Issue 3, September and October 2019, Pages 213-217 PDF (352.58 K) | ||
Document Type: Research Paper | ||
DOI: 10.22092/isfj.2019.118893 | ||
Authors | ||
M. Mehdizadeh; M. Dabestani; A. Gheybi; J. Azizpour | ||
Abstract | ||
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. | ||
Keywords | ||
SSS; SST; AMSU-B sensor data; Statistical computing software R; Persian Gulf | ||
References | ||
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