KALMAN FILTER RETRIEVAL OF SEA SKIN TEMPERATURE FROM SEVIRI: A COMPARISON CASE STUDY

The high temporal resolution of data acquisition by geostationary satellites and their capability to resolve the diurnal cycle allow for the retrieval of a valuable source of information about geophysical parameters. To exploit this information we have developed a Kalman filter methodology for the retrieval of surface emissivity and temperature from radiance measurements made from geostationary platforms. The application of the retrieval methodology to SEVIRI (Spinning Enhanced Visible and Infrared Imager) infrared channels shows that we can simultaneously retrieve surface emissivity and temperature with an accuracy of ± 0.005 and ± 0.2 K, respectively. This performance is exemplified in this paper with a case study, which considers the retrieval of sea skin temperature for a target area of the Naples Gulf. Retrieval for temperature has been intercompared with similar products derived from AVHRR (Advanced Very High Resolution Radiometer) and MODIS (Moderate Resolution Imaging Spectroradiometer) satellite sensors.