CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins

dc.bibliographicCitation.firstPage127eng
dc.bibliographicCitation.issue1eng
dc.bibliographicCitation.journalTitleEarth System Science Dataeng
dc.bibliographicCitation.lastPage139eng
dc.bibliographicCitation.volume8
dc.contributor.authorBerezowsk, Tomasz
dc.contributor.authorSzcześniak, Mateusz
dc.contributor.authorKardel, Ignacy
dc.contributor.authorMichałowski, Robert
dc.contributor.authorOkruszko, Tomasz
dc.contributor.authorMezghani, Abdelkader
dc.contributor.authorPiniewski, Mikołaj
dc.date.accessioned2018-09-14T13:52:20Z
dc.date.available2019-06-28T10:34:40Z
dc.date.issued2016
dc.description.abstractThe CHASE-PL (Climate change impact assessment for selected sectors in Poland) Forcing Data–Gridded Daily Precipitation & Temperature Dataset–5 km (CPLFD-GDPT5) consists of 1951–2013 daily minimum and maximum air temperatures and precipitation totals interpolated onto a 5 km grid based on daily meteorological observations from the Institute of Meteorology and Water Management (IMGW-PIB; Polish stations), Deutscher Wetterdienst (DWD, German and Czech stations), and European Climate Assessment and Dataset (ECAD) and National Oceanic and Atmosphere Administration–National Climatic Data Center (NOAA-NCDC) (Slovak, Ukrainian, and Belarusian stations). The main purpose for constructing this product was the need for long-term aerial precipitation and temperature data for earth-system modelling, especially hydrological modelling. The spatial coverage is the union of the Vistula and Oder basins and Polish territory. The number of available meteorological stations for precipitation and temperature varies in time from about 100 for temperature and 300 for precipitation in the 1950s up to about 180 for temperature and 700 for precipitation in the 1990s. The precipitation data set was corrected for snowfall and rainfall under-catch with the Richter method. The interpolation methods were kriging with elevation as external drift for temperatures and indicator kriging combined with universal kriging for precipitation. The kriging cross validation revealed low root-mean-squared errors expressed as a fraction of standard deviation (SD): 0.54 and 0.47 for minimum and maximum temperature, respectively, and 0.79 for precipitation. The correlation scores were 0.84 for minimum temperatures, 0.88 for maximum temperatures, and 0.65 for precipitation. The CPLFD-GDPT5 product is consistent with 1971–2000 climatic data published by IMGW-PIB. We also confirm good skill of the product for hydrological modelling by performing an application using the Soil and Water Assessment Tool (SWAT) in the Vistula and Oder basins.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/235
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/3760
dc.language.isoengeng
dc.publisherMünchen : European Geopyhsical Unioneng
dc.relation.doihttps://doi.org/10.5194/essd-8-127-2016
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subject.ddc500eng
dc.titleCPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basinseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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