Qualitative weather radar mosaic in a multisensor rainfall monitoring approach (Articolo in rivista)

Type
Label
  • Qualitative weather radar mosaic in a multisensor rainfall monitoring approach (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/1.JRS.6.063572 (literal)
Alternative label
  • Antonini, Andrea; Melani, Samantha; Ortolani, Alberto; Pieri, Maurizio; Gozzini, Bernardo (2012)
    Qualitative weather radar mosaic in a multisensor rainfall monitoring approach
    in Journal of applied remote sensing
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Antonini, Andrea; Melani, Samantha; Ortolani, Alberto; Pieri, Maurizio; Gozzini, Bernardo (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 15 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Consorzio LaMMA; Inst Biometeorol IBIMET CNR (literal)
Titolo
  • Qualitative weather radar mosaic in a multisensor rainfall monitoring approach (literal)
Abstract
  • A method is presented for integrating the information available in a limited area (corresponding to Tuscany in Italy) coming from satellite sensors, point measurement stations and ground-based radars. The objective is the exploitation of the complementary information provided by the variety of methods and instruments nowadays existing for measuring precipitation or precipitation-related parameters, in order to upgrade the capability of reconstructing weather phenomena of main interest. Ground- and satellite-based measurements, working locally or remotely, are jointly analyzed to evaluate how heterogeneous data can amplify the effectiveness of the measurements, when synergically analyzed, and this holds also when some of the available instruments essentially give just qualitative information. Away to synthesize the different information provided by various instruments is presented, assessing the quality of all the available observations. Namely, steps are described for the achievement of a mosaic of qualitative weather radars, and it is shown how the joint analysis of satellite, rain gauge and lightning observations can support a correct interpretation of precipitation phenomena. Finally, a logical scheme for data integration is presented and discussed. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063572] (literal)
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