The event of November 23–25th, 1987 on the Arno basin was observed by ground raingauges and a hydrometric reporting network, the Meteosat geosyncronous satellite, and the Special Sensor Microwave/Imager (SSM/I) aboard a polar orbiting satellite. In the present paper the three data sets derived from the different information sources are used as an input to a coherence assessment analysis; information provided by raingauges, geosyncronous and polar satellites are indeed intrinsecally different as far as space and time scales and reliability are concerned. The proposed approach has two main purposes: i) to integrate effectively different data sources to obtain a rain rate estimate which minimises the overall deviation from the set of available measurements; ii) to assess the relative reliability of a source with respect to the others. Hydrographs in Florence at Uffizi, simulated by a distributed model using the Meteosat information and raingauge data, have been compared to the observed one in order to assess the use of multisensor observations to predict rainfall ground effects during the considered extreme meteorological event.
Multisensor analysis of the flood event of November 23-25th, 1987 on the Arno basin
LA BARBERA, PAOLO;LANZA, LUCA GIOVANNI;PAOLUCCI, MASSIMO;MINCIARDI, RICCARDO;SICCARDI, FRANCO
1992-01-01
Abstract
The event of November 23–25th, 1987 on the Arno basin was observed by ground raingauges and a hydrometric reporting network, the Meteosat geosyncronous satellite, and the Special Sensor Microwave/Imager (SSM/I) aboard a polar orbiting satellite. In the present paper the three data sets derived from the different information sources are used as an input to a coherence assessment analysis; information provided by raingauges, geosyncronous and polar satellites are indeed intrinsecally different as far as space and time scales and reliability are concerned. The proposed approach has two main purposes: i) to integrate effectively different data sources to obtain a rain rate estimate which minimises the overall deviation from the set of available measurements; ii) to assess the relative reliability of a source with respect to the others. Hydrographs in Florence at Uffizi, simulated by a distributed model using the Meteosat information and raingauge data, have been compared to the observed one in order to assess the use of multisensor observations to predict rainfall ground effects during the considered extreme meteorological event.
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