Retrieving seasonal sea surface salinity from MODIS satellite data using a Box-Jenkins algorithm

Abstract

In this study, we investigate the relative ability of a Box-Jenkins algorithm to retrieve sea surface salinity (SSS) from MODIS satellite data. The accuracy of this work has been examined using the root mean square of bias of sea surface salinity retrieved from MODIS satellite data. The study shows comprehensive relationship between Box-Jenkins algorithm, least square method, and in situ SSS measurements with high r <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 0.98, 0.96 and RMS of bias value of ±0.34 psu, and ±0.32 psu, respectively. Thus, lower RMS of bias value of ± 0.32 psu has performed with Box-Jenkins algorithm. In conclusions, Box-Jenkins algorithm can be used to retrieve time series of SSS from MODIS satellite data as compared to least square algorithm.