Accuracy Assessment of a Satellite-Based Rain Estimation Algorithm Using a Network of Meteorological Stations over Epirus Region, Greece

The study concerns the quantitative evaluation of a satellite-based rain rate (RR) estimation algorithm using measurements from network ground-based meteorological stations across Epirus Region, Greece, an area that receives among maximum precipitation amounts over country. utilized version uses Meteosat-11 Brightness Temperature in five spectral regions ranging 6.0 to 12.0 μm (channels 5–7, 9 and 10) estimate intensity on pixel basis, after discriminating rain/non-rain pixels with simple thresholding method. recordings stations’ were spatiotemporally correlated estimations, leading dataset 2586 pairs matched values. A statistical analysis these values was conducted, revealing Mean Error (ME) −0.13 mm/h correlation coefficient (CC) 0.52. optimal computed Probability False Detection (POFD), (POD), Alarm Ratio (FAR) bias score (BIAS) are equal 0.32, 0.88, 0.12 0.94, respectively. extreme RR (the highest 10%) also shows satisfactory results (i.e., ME 1.92 CC 0.75). statistics promising for operationally this real-time basis.