TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results (Contributo in atti di convegno)

Type
Label
  • TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.979672 (literal)
Alternative label
  • Mauro Rossi (a,b), Dalia Kirschbaum (c), Siliva Luciania (b), Alessandro C. Mondini (b), Fausto Guzzetti (a) (2012)
    TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results
    in SPIE Asia-Pacific Remote Sensing 2012, Kyoto, Japan
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Mauro Rossi (a,b), Dalia Kirschbaum (c), Siliva Luciania (b), Alessandro C. Mondini (b), Fausto Guzzetti (a) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dx.doi.org/10.1117/12.979672 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (a) Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, via della Madonna Alta 126, 06128, Perugia, Italia (b) Department of Earth Sciences, University of Perugia, Piazza dell'Università, 06123 Perugia, Italia (c) NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, Md., United States of America (literal)
Titolo
  • TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results (literal)
Abstract
  • Early warning systems can predict rainfall-induced landslides by comparing rainfall data with landslide rainfall thresholds. These systems are based on empirical rainfall thresholds defined using rain gauges data. Despite quantitative satellite rainfall estimates are currently available, limited research has compared satellite estimates and rain gauge measurements for the forecasting of possible landslide occurrence. In this work, we validate satellite estimates obtained for Italy by the NASA Tropical Rainfall Measuring Mission (TRMM) against rainfall measurements from the Italian rain gauge network (< 1950 rain gauges), in the period from 1 September 2009 to 31 August 2010. Using cumulative rainfall measurements/estimates, we: (i) evaluate the correlation between the rain gauge measurements and the satellite estimates in different morpho-climatological domains, (ii) analyse the distributions of the ground-based measurements and the satellite estimates using different statistical approaches, and (iii) compare rainfall events derived automatically from satellite and rain gauge rainfall series. We observe differences between satellite estimates and rain gauge measurements in different morpho-climatological domains. The differences are larger in mountain areas, and collectively reveal a complex relationship between the ground-based measurements and the satellite estimates. We find that a power law correlation model is appropriate to describe the relation between the two rainfall data series. We conclude that specific rainfall thresholds must be defined to exploit satellite rainfall estimates in existing landslide early warning systems.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. (literal)
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