Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloValidation of Satellite, Reanalysis and RCM Data of Monthly Rainfall in Calabria (Southern Italy)
Anno di pubblicazione2019
FormatoElettronico
Autore/iGiulio Nils Caroletti, Roberto Coscarelli, Tommaso Caloiero
Affiliazioni autoriCNR-IRPI CNR-ISAFOM
Autori CNR e affiliazioni
  • GIULIO NILS CAROLETTI
  • ROBERTO COSCARELLI
  • TOMMASO CALOIERO
Lingua/e
  • inglese
AbstractSkills in reproducing monthly rainfall over Calabria (southern Italy) have been validated for the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) satellite data, the E-OBS dataset and 13 Global Climate Model-Regional Climate Model (GCM-RCM) combinations, belonging to the ENSEMBLES project output set. To this aim, 73 rainfall series for the period 1951-1980 and 79 series for the period 1981-2010 have been selected from the database managed by Multi-Risk Functional Centre of the Regional Agency for Environmental Protection (Regione Calabria). The relative mean and standard deviation errors, and the Pearson correlation coecient have been used as validation metrics. Results showed that CHIRPS satellite data (available only for the 1981-2010 validation period) and RCMs based on the ECHAM5 Global Climate performed better both in mean error and standard deviation error compared to other datasets. Moreover, a slight appreciable improvement in performance for all ECHAM5-based models and for the E-OBS dataset has been observed in the 1981-2010 time-period. The whole validation-and-assessment procedure applied in this work is general and easily applicable where ground data and gridded data are available. This procedure might help scientists and policy makers to select among available datasets those best suited for further applications, even in regions with complex orography and an inadequate amount of representative stations.
Lingua abstractinglese
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Pagine da-
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Pagine totali-
RivistaRemote sensing (Basel)
Attiva dal 2009
Editore: Molecular Diversity Preservation International - Basel
Lingua: inglese
ISSN: 2072-4292
Titolo chiave: Remote sensing (Basel)
Titolo proprio: Remote sensing. (Basel)
Titolo abbreviato: Remote sens. (Basel)
Numero volume della rivista11
Fascicolo della rivista1625
DOI10.3390/rs11131625
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85072228506)
  • ISI Web of Science (WOS) (Codice:000477049000115)
Parole chiaveprecipitation, validation, satellite data, RCMs
Link (URL, URI)https://www.mdpi.com/2072-4292/11/13/1625/pdf
Titolo parallelo-
Data di accettazione13/07/2019
Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
  • ISAFoM — Istituto per i sistemi agricoli e forestali del mediterraneo
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD001.130.008 : ERA4CS-IRPI-COSENZA
Progetti Europei-
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