Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloGlobal-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
Anno di pubblicazione2017
FormatoElettronico
Autore/iBeck, H.E., Vergopolan, N., Pan, M., Levizzani, V., van Dijk, A.I.J.M., Weedon, G., Brocca, L., Pappenberger, F., Huffman, G.J., Wood, E.F.
Affiliazioni autori1Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA 2National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Bologna, Italy 3Fenner School of Environment & Society, The Australian National University, Canberra, Australia 4Met Office, Joint Centre for Hydro-Meteorological Research, Wallingford, UK 5Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy 6European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, UK 7Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Autori CNR e affiliazioni
  • LUCA BROCCA
  • VINCENZO LEVIZZANI
Lingua/e
  • inglese
AbstractWe undertook a comprehensive evaluation of 23 gridded (quasi-)global (sub-)daily precipitation (P) datasets for the period 2000-2016. Thirteen non-gauge-corrected P datasets were evaluated using daily P gauge observations from 76 086 gauges worldwide. Another ten gauge-corrected datasets were evaluated using hydrological modeling, by calibrating the conceptual model HBV against streamflow records for each of 9053 small to medium-sized (< 50 000 km2) catchments worldwide, and comparing the resulting performance. Marked differences in spatio-temporal patterns and accuracy were found among the datasets. Among the uncorrected P datasets, the satellite- and reanalysis-based MSWEP-ng V1.2 and V2.0 datasets generally showed the best temporal correlations with the gauge observations, followed by the reanalyses (ERA-Interim, JRA-55, and NCEP-CFSR) and the the satellite- and reanalysis-based CHIRP V2.0 dataset, the estimates based primarily on passive microwave remote sensing of rainfall (CMORPH V1.0, GSMaP V5/6, and TMPA 3B42RT V7) or near-surface soil moisture (SM2RAIN-ASCAT), and finally, estimates based primarily on thermal infrared imagery (GridSat V1.0, PERSIANN, and PERSIANN-CCS). Two of the three reanalyses (ERA-Interim and JRA-55) unexpectedly obtained lower trend errors than the satellite datasets. Among the corrected P datasets, the ones directly incorporating daily gauge data (CPC Unified and MSWEP V1.2 and V2.0) generally provided the best calibration scores, although the good performance of the fully gaugebased CPC Unified is unlikely to translate to sparsely or ungauged regions. Next best results were obtained with P estimates directly incorporating temporally coarser gauge data (CHIRPS V2.0, GPCP-1DD V1.2, TMPA 3B42 V7, and WFDEI-CRU), which in turn outperformed those indirectly incorporating gauge data through other multi-source datasets (PERSIANN-CDR V1R1 and PGF). Our results highlight large differences in estimation accuracy, and hence, the importance of P dataset selection in both research and operational applications. The good performance of MSWEP emphasizes that careful data merging can exploit the complementary strengths of gauge-, satellite- and reanalysis-based P estimates.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da6201
Pagine a6217
Pagine totali-
RivistaHydrology and earth system sciences (Online)
Attiva dal 1997
Editore: Copernicus Publ. - Göttingen
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1607-7938
Titolo chiave: Hydrology and earth system sciences (Online)
Titolo proprio: Hydrology and earth system sciences. (Online)
Titolo abbreviato: Hydrol. earth syst. sci. (Online)
Titolo alternativo: HESS (Göttingen. Internet) (Online)
Numero volume della rivista21
Fascicolo della rivista-
DOI10.5194/hess-21-6201-2017
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveprecipitation, global validation, hydrology
Link (URL, URI)https://doi.org/10.5194/hess-2017-508
Titolo parallelo-
LicenzaCreative Commons Attribution 4.0 License
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
  • DTA.AD001.005.001 : Fisica delle nubi e delle precipitazioni CAPE - ISAC Sede
  • DTA.AD003.164.001 : Studio e monitoraggio dei processi idrologici
Progetti Europei
Allegati
articolo
Tipo documento: application/pdf