The recently launched geostationary meteorological satellite METEOSAT-8 with the excellent temporal resolution as well as with well suited spectral channels of SEVIRI instrument is a useful source of the information about cloud cover. The paper presents the work aimed at the validation of the cloud mask derived from MSG/SEVIRI data with the use of the NWC SAF software. The total cloudiness amount obtained from satellite data for each Polish synoptic station was compared with the simultaneous surface observation. The analysis was performed for three hourly observations. The preliminary results for the day time conditions show a good coherence of the satellite cloudiness retrieval with ground observations. Mean difference between these two variables ranges from -0.7 octas to 1.7 octas depending on the illumination conditions. The largest differences were found for nighttime and twilight observations. However, during the night, in snow conditions, the cloudiness is grossly overestimated by the satellite.
The paper presents the GIS technology application allowing mapping the precipitation from the microwave satellite data. The analysis results are prepared in the form of maps of precipitation intensity and range from an Advanced Microwave Sounding Unit (AMSU) on board of NOAA (15-17) satellites. The products such as Rain Rate (RR), Scattering Index (SI), Total Precipitation Water (TPW), Precipitation Probability (PP) and Liquid Water Path (LWP) were prepared basing on the regression algorithms. Surface data are converted into thematic coverages, too. The developed system allows displaying the precipitation observed with the satellite data and other ancillary information. Satellite and lightning data layers were also introduced to the system. Such approach allows presentation and analysis of the data coming from the various sources and enables validating the methods for the precipitation algorithms from microwave data. The problems related to the data specific spatial, temporal resolution and variability are presented and discussed. The maps of precipitation with additional geographical data and administrative boundaries are available for the weather forecasting units via Intranet. It is planned to make images available on the web for internal and external customers using web map server.