The temporal sampling of instantaneous rainfall, estimated by low earth orbiting microwave radiometers, is here extended by using the more frequent METEOSAT radiances. We make use of a microwave profile-based retrieval algorithm, already widely tested for heavy precipitation cases over land, to rapid update the Negri-Adler-Wetzel (NAW) infrared technique, successfully applied to frontal and convective precipitation at different latitudes. Due to the physical meaning of radiometric measurements, performing better for high precipitation regimes, we use SSM/I retrieval to calibrate the high precipitation NAW area. The potential of such a method for flood hazard monitoring applications is here discussed focusing on the extreme flood occurred in north-western Italy in the middle of October 2000. The half an hour instantaneous satellite-based rain fields have been cumulated to match both rain gauges network characteristics and ETA model forecasted rain fields to determine what agreement can be expected at different temporal and spatial scales for cumulated rain quantities.
MW/IR satellite data for a combined rainfall estimation of Piemonte and Valle d’Aosta 2000 flood event
PORCU', Federico;
2002
Abstract
The temporal sampling of instantaneous rainfall, estimated by low earth orbiting microwave radiometers, is here extended by using the more frequent METEOSAT radiances. We make use of a microwave profile-based retrieval algorithm, already widely tested for heavy precipitation cases over land, to rapid update the Negri-Adler-Wetzel (NAW) infrared technique, successfully applied to frontal and convective precipitation at different latitudes. Due to the physical meaning of radiometric measurements, performing better for high precipitation regimes, we use SSM/I retrieval to calibrate the high precipitation NAW area. The potential of such a method for flood hazard monitoring applications is here discussed focusing on the extreme flood occurred in north-western Italy in the middle of October 2000. The half an hour instantaneous satellite-based rain fields have been cumulated to match both rain gauges network characteristics and ETA model forecasted rain fields to determine what agreement can be expected at different temporal and spatial scales for cumulated rain quantities.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
