Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDaily precipitation estimation through different microwave sensors: Verification study over Italy
Anno di pubblicazione2017
Autore/iCiabatta L.; Marra A.C.; Panegrossi G.; Casella D.; Sano P.; Dietrich S.; Massari C.; Brocca L.
Affiliazioni autoriResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; Institute of Atmospheric Sciences and Climate, National Research Council, Rome, Italy; Department of Civil and Environmental Engineering, University of Perugia, Italy
Autori CNR e affiliazioni
  • inglese
AbstractThe accurate estimation of rainfall from remote sensing is of paramount importance for many applications as, for instance, the mitigation of natural hazards like floods, droughts, and landslides. Traditionally, microwave observations in the frequency between 10 and 183 GHz are used for estimating rainfall based on the direct interaction of radiation with the hydrometeors within precipitating clouds in a so-called top-down approach. Recently, a bottom-up approach was proposed that uses satellite soil moisture products derived from microwave observations (<10 GHz) for the estimation of accumulated rainfall amounts. The integration of the bottom-up and top-down approaches has large potential for providing high accurate rainfall estimates exploiting their different and complementary nature. In this study, we perform a long-term (3 years) assessment of different satellite rainfall products exploiting the full range of microwave frequencies over Italy. Specifically, the integration of two top-down algorithms (CDRD, Cloud Dynamics and Radiation Database, and PNPR, Passive microwave Neural network Precipitation Retrieval) for estimating rainfall from conically and cross-track scanning radiometers, and one bottom-up algorithm (SM2RAIN) applied to the Advanced SCATterometer soil moisture product is carried out. The performances of the products, individually and merged together, are assessed at daily time scale. The integration of top-down and bottom-up approaches provides the highest performance both in terms of continuous and categorical scores (i.e., median correlation coefficient and root mean square error values equal to 0.71 and 6.62 mm, respectively). In such a combination, the limitations of the two approaches are compensated allowing a better estimation of ground accumulated rainfall through SM2RAIN while, overcoming the limitations of rainfall estimation for intense events during wet conditions through CDRD-PNPR product. The accuracy and the reliability of the merged product open new possibilities for their testing in hydrological applications, such as the monitoring and prediction of floods and droughts over large areas, including regions where ground-based measurements are sparse or not available.
Lingua abstractinglese
Altro abstract-
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Pagine da436
Pagine a450
Pagine totali-
RivistaJournal of hydrology (Amst.)
Attiva dal 1963
Editore: Elsevier - Oxford ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0022-1694
Titolo chiave: Journal of hydrology (Amst.)
Titolo proprio: Journal of hydrology. (Amst.)
Titolo abbreviato: J. hydrol. (Amst.)
Titoli alternativi:
  • Journal of hydrology (Lausanne) (Amst.)
  • Journal of hydrology (New York) (Amst.)
  • Journal of hydrology (Oxford) (Amst.)
  • Journal of hydrology (Shannon) (Amst.)
  • Journal of hydrology (Tokyo) (Amst.)
Numero volume della rivista545
Fascicolo della rivista-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85008883100)
Parole chiaveRainfall; GPM; Soil moisture; Remote sensing; Microwave sensors
Link (URL, URI)
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Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
  • ISAC — Istituto di scienze dell'atmosfera e del clima
Moduli/Attività/Sottoprogetti CNR
  • TA.P06.017.005 : Meteorologia da satellite
Progetti Europei