Spatial and interannual variations of seasonal sea surface temperature patterns in the Baltic Sea

Abstract

The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7 × 7 km.The research was performed in the southern Baltic Sea (between 13 • E 53 • N and 21 • E 58 • N).Data were collected in all the seasons of 2007.The coefficients were found by means of regression analysis.SSTs determined on the basis of AVHRR data were used in the regression analysis instead of in situ data.A set of paired AVHRR and SEVIRI images spaced no more than 8 minutes apart were compared.The results show that the method is capable of producing sea surface temperatures with a statistical error (standard deviation) of 1 • C.