Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloIntegration of Satellite Soil Moisture and Rainfall Observations over the Italian Territory
Anno di pubblicazione2015
FormatoElettronico
Autore/iCiabatta, Luca; Brocca, Luca; Massari, Christian; Moramarco, Tommaso; Puca, Silvia; Rinollo, Angelo; Gabellani, Simone; Wagner, Wolfgang
Affiliazioni autoriConsiglio Nazionale delle Ricerche (CNR); Natl Civil Protect Dept; Int Ctr Environm Monitoring; Vienna University of Technology
Autori CNR e affiliazioni
  • LUCA CIABATTA
  • CHRISTIAN MASSARI
  • TOMMASO MORAMARCO
  • LUCA BROCCA
Lingua/e
  • inglese
AbstractState-of-the-art rainfall products obtained by satellites are often the only way of measuring rainfall in remote areas of the world. However, it is well known that they may fail in properly reproducing the amount of precipitation reaching the ground, which is of paramount importance for hydrological applications. To address this issue, an integration between satellite rainfall and soil moisture SM products is proposed here by using an algorithm, SM2RAIN, which estimates rainfall from SM observations. A nudging scheme is used for integrating SM-derived and state-of-the-art rainfall products. Two satellite rainfall products are considered: H05 provided by EUMESAT and the real-time (3B42-RT) TMPA product provided by NASA. The rainfall dataset obtained through SM2RAIN, SM2R(ASC), considers SM retrievals from the Advanced Scatterometer (ASCAT). The rainfall datasets are compared with quality-checked daily rainfall observations throughout the Italian territory in the period 2010-13. In the validation period 2012-13, the integrated products show improved performances in terms of correlation with an increase in median values, for 5-day rainfall accumulations, of 26% (18%) when SM2R(ASC) is integrated with the H05 (3B42-RT) product. Also, the median root-mean-square error of the integrated products is reduced by 18% and 17% with respect to H05 and 3B42-RT, respectively. The integration of the products is found to improve the threat score for medium-high rainfall accumulations. Since SM2R(ASC), H05, and 3B42-RT datasets are provided in near-real time, their integration might provide more reliable rainfall products for operational applications, for example, for flood and landslide early warning systems.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1341
Pagine a1355
Pagine totali15
RivistaJournal of hydrometeorology (Print)
Attiva dal 2000
Editore: American Meteorological Society, - Boston, MA
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1525-755X
Titolo chiave: Journal of hydrometeorology (Print)
Titolo proprio: Journal of hydrometeorology. (Print)
Titolo abbreviato: J. hydrometeorol. (Print)
Numero volume della rivista16
Fascicolo della rivista3
DOI10.1175/JHM-D-14-0108.1
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000355126500022)
Parole chiaveRainfall, Soil moisture, Remote sensing
Link (URL, URI)-
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Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
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Articolo (documento privato )
Tipo documento: application/pdf