Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in volume
TitoloGlobal-Scale Evaluation of 22 Precipitation Datasets Using Gauge Observations and Hydrological Modeling
Anno di pubblicazione2020
Formato
  • Elettronico
  • Cartaceo
Tipologia di contributo in volumeCapitolo
Autore/iH. Beck, N. Vergopolan, M. Pan, V. Levizzani, A. J. J. M. van Dijk, G. P. Weedon, L. Brocca, F. Pappenberger, G. J. Huffman, and E. F. Wood,
Affiliazioni autoriDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA CNR-ISAC, Bologna, Italy Fenner School of Environment & Society, The Australian National University, Canberra, Australia Met Office, Joint Centre for Hydro-Meteorological Research, Wallingford, UK CNR-IRPI, Perugia, Italy European Centre for Medium-range Weather Forecasts, Reading, UK NASA, Goddard Space Flight Center, Greenbelt, MDUSA
Autori CNR e affiliazioni
  • LUCA BROCCA
  • VINCENZO LEVIZZANI
Lingua/e
  • inglese
SintesiWe undertook a comprehensive evaluation of 22 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 nine 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 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 gauge-based 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 the one indirectly incorporating gauge data through another multi-source dataset (PERSIANN-CDR V1R1). 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 sintesieng
Altra sintesi-
Lingua altra sintesi-
Pagine da625
Pagine a653
Pagine totali-
Serie/CollanaAdvances in global change research
Attiva dal 1999
Editore: Kluwer Academic Publishers : - Boston
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 1574-0919
Titolo chiave: Advances in global change research
Titolo proprio: Advances in global change research.
Titolo alternativo: AGLO
Titolo del volumeSatellite Precipitation Measurement
Numero volume della serie/collana69
Curatore/i del volumeV. Levizzani, C. Kidd, D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, F. J. Turk
ISBN978-3-030-35798-6
Edizione/Versione-
DOI10.1007/978-3-030-35798-6_9
Editore
  • Springer, Cham, Heidelberg, New York, Dordrecht, London (Svizzera)
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiavesatellite, precipitation, climate, meteorology, hydrology
Link (URL, URI)https://link.springer.com/chapter/10.1007%2F978-3-030-35798-6_9
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
  • ISAC — Istituto di scienze dell'atmosfera e del clima
  • TA — Dipartimento Scienze del sistema terra e tecnologie per l'ambiente
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD001.245.001 : CLEM-Climatologia della struttura di nubi e precipitazioni su Europa, Mediterraneo e continente africano
Progetti Europei-
Allegati