Precipitation retrievals exploiting the available pas- sive microwave (PMW) observations by cross-track and conically scanning satellite-borne radiometers in the global precipitation measurement (GPM) mission era are used to monitor and char- acterize heavy precipitation events that occurred during the Fall 2014 in Italy. Different physically based PMW precipitation retrieval algorithms are used: the Cloud Dynamics and Radiation Database and PMW Neural network Precipitation Retrieval (PNPR), used operationally in the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on support to Operational Hydrology and Water Management (H-SAF), and the National Aeronautics and Space Administration (NASA) Goddard PROFiling algorithm (GPROF). Results show that PMW precipitation retrievals from the GPM constellation of radiometers provide a reliable and quantitative description of the precipitation (instantaneous and on the daily scale) throughout the evolution of the precipitation systems in the Mediterranean region. The comparable relative errors among gauges, radar, and combination of radiometer over- passes legitimize the use of PMW estimates as a valuable and independent tool for monitoring precipitation. The pixel-based comparison with dual-polarization radar and raingauges indi- cates the ability of the different sensors to identify different precipitation areas and regimes [0.60 < (POD) < 0.76; 0.28 < (FAR) < 0.45; 0.42 < (ETS) < 0.59; -1.6 mm/h < (ME) < 1.1 mm/h , with values depending on the radiometer and on the precipitation product]. This is particularly relevant in the presence of complex orography in proximity of coastal areas, as for the analyzed cases. The different characteristics of the radiometers (i.e., viewing geometry, spatial resolution, channel assortment) and of retrieval techniques, as well as the limitations of the ground-based reference datasets, are taken into consideration in the evaluation of the accuracy and consistency of the retrievals.

Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region

Giulia Panegrossi;Daniele Casella;Stefano Dietrich;Anna Cinzia Marra;Paolo Sanò;Alberto Mugnai;Luca Baldini;Nicoletta Roberto;Elisa Adirosi;Marco Petracca;
2016

Abstract

Precipitation retrievals exploiting the available pas- sive microwave (PMW) observations by cross-track and conically scanning satellite-borne radiometers in the global precipitation measurement (GPM) mission era are used to monitor and char- acterize heavy precipitation events that occurred during the Fall 2014 in Italy. Different physically based PMW precipitation retrieval algorithms are used: the Cloud Dynamics and Radiation Database and PMW Neural network Precipitation Retrieval (PNPR), used operationally in the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on support to Operational Hydrology and Water Management (H-SAF), and the National Aeronautics and Space Administration (NASA) Goddard PROFiling algorithm (GPROF). Results show that PMW precipitation retrievals from the GPM constellation of radiometers provide a reliable and quantitative description of the precipitation (instantaneous and on the daily scale) throughout the evolution of the precipitation systems in the Mediterranean region. The comparable relative errors among gauges, radar, and combination of radiometer over- passes legitimize the use of PMW estimates as a valuable and independent tool for monitoring precipitation. The pixel-based comparison with dual-polarization radar and raingauges indi- cates the ability of the different sensors to identify different precipitation areas and regimes [0.60 < (POD) < 0.76; 0.28 < (FAR) < 0.45; 0.42 < (ETS) < 0.59; -1.6 mm/h < (ME) < 1.1 mm/h , with values depending on the radiometer and on the precipitation product]. This is particularly relevant in the presence of complex orography in proximity of coastal areas, as for the analyzed cases. The different characteristics of the radiometers (i.e., viewing geometry, spatial resolution, channel assortment) and of retrieval techniques, as well as the limitations of the ground-based reference datasets, are taken into consideration in the evaluation of the accuracy and consistency of the retrievals.
2016
Istituto di Scienze dell'Atmosfera e del Clima - ISAC
Cloud Dynamics Radiation Database (CDRD)
Global Precipitation Measurement (GPM) mission
GPM mission
passive microwave (PMW) radiometer
PMW Neural network Precipitation Retrieval (PNPR)
precipitation radar
retrieval algorithm
satellite precipitation retrieval.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/308997
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