{"refrec":{"BRefID":323240,"RR":"<b>Beck, H.E.; Wood, E.F.; Pan, M.; Fisher, C.K.; Miralles, D.G.; van Dijk, A.I.J.M.; McVicar, T.R.; Adler, R.F.</b> (2019). MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment. <i>Bull. Am. Meteorol. Soc. 100(3)</i>: 473-502. <a href=\"https://dx.doi.org/10.1175/BAMS-D-17-0138.1\" target=\"_blank\">https://dx.doi.org/10.1175/BAMS-D-17-0138.1</a>","BEntID":316712,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Bull. Am. Meteorol. Soc. 100(3)</i>: 473-502. <a href=\"https://dx.doi.org/10.1175/BAMS-D-17-0138.1\" target=\"_blank\">https://dx.doi.org/10.1175/BAMS-D-17-0138.1</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Beck, H.E.; Wood, E.F.; Pan, M.; Fisher, C.K.; Miralles, D.G.; van Dijk, A.I.J.M.; McVicar, T.R.; Adler, R.F.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Beck, H.E. <i>et al.</i>","Englishabstract":"We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), a gridded precipitation P dataset spanning 1979–2017. MSWEP V2 is unique in several aspects: i) full global coverage (all land and oceans); ii) high spatial (0.1°) and temporal (3 hourly) resolution; iii) optimal merging of <i>P</i> estimates based on gauges [WorldClim, Global Historical Climatology Network-Daily (GHCN-D), Global Summary of the Day (GSOD), Global Precipitation Climatology Centre (GPCC), and others], satellites [Climate Prediction Center morphing technique (CMORPH), Gridded Satellite (GridSat), Global Satellite Mapping of Precipitation (GSMaP), and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT)], and reanalyses [European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim) and Japanese 55-year Reanalysis (JRA-55)]; iv) distributional bias corrections, mainly to improve the <i>P</i> frequency; v) correction of systematic terrestrial <i>P</i> biases using river discharge <i>Q</i> observations from 13,762 stations across the globe; vi) incorporation of daily observations from 76,747 gauges worldwide; and vii) correction for regional differences in gauge reporting times. MSWEP V2 compares substantially better with Stage IV gauge–radar <i>P</i> data than other state-of-the-art <i>P</i> datasets for the United States, demonstrating the effectiveness of the MSWEP V2 methodology. Global comparisons suggest that MSWEP V2 exhibits more realistic spatial patterns in mean, magnitude, and frequency. Long-term mean <i>P</i> estimates for the global, land, and ocean domains based on MSWEP V2 are 955, 781, and 1,025 mm yr<sup>−1</sup>, respectively. Other <i>P</i> datasets consistently underestimate <i>P</i> amounts in mountainous regions. Using MSWEP V2, <i>P</i> was estimated to occur 15.5%, 12.3%, and 16.9% of the time on average for the global, land, and ocean domains, respectively. MSWEP V2 provides unique opportunities to explore spatiotemporal variations in <i>P</i>, improve our understanding of hydrological processes and their parameterization, and enhance hydrological model performance.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-06 01:34:12.567208","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2019,"MonPub":null,"DateUpdate":"2020-04-16","DateCreate":"2020-04-07","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000468039100009","VABBcode":null,"OpenAcc":1,"DOI":"10.1175/BAMS-D-17-0138.1"},"refs":null,"anarec":{"AnaID":323240,"PubliDate":2019,"Pagination":"473-502","XtraPublOfAnaID":null,"ISBN":null,"Volume":"100","Issue":"3","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":42496,"SerRR":"Bulletin of the American Meteorological Society. 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