Matches in SemOpenAlex for { <https://semopenalex.org/work/W2289271402> ?p ?o ?g. }
- W2289271402 endingPage "139" @default.
- W2289271402 startingPage "127" @default.
- W2289271402 abstract "Abstract. The 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. Link to the data set: doi:10.4121/uuid:e939aec0-bdd1-440f-bd1e-c49ff10d0a07." @default.
- W2289271402 created "2016-06-24" @default.
- W2289271402 creator A5001321008 @default.
- W2289271402 creator A5003764127 @default.
- W2289271402 creator A5007929160 @default.
- W2289271402 creator A5026824962 @default.
- W2289271402 creator A5043774001 @default.
- W2289271402 creator A5082560938 @default.
- W2289271402 creator A5083186919 @default.
- W2289271402 date "2016-03-21" @default.
- W2289271402 modified "2023-10-09" @default.
- W2289271402 title "CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins" @default.
- W2289271402 cites W1516928384 @default.
- W2289271402 cites W1565508962 @default.
- W2289271402 cites W1597235087 @default.
- W2289271402 cites W174598607 @default.
- W2289271402 cites W1904854050 @default.
- W2289271402 cites W1918373451 @default.
- W2289271402 cites W1983724666 @default.
- W2289271402 cites W2000454689 @default.
- W2289271402 cites W2007873570 @default.
- W2289271402 cites W2027219405 @default.
- W2289271402 cites W2029604816 @default.
- W2289271402 cites W2040097802 @default.
- W2289271402 cites W2048337280 @default.
- W2289271402 cites W2051300033 @default.
- W2289271402 cites W2067509986 @default.
- W2289271402 cites W2069079992 @default.
- W2289271402 cites W2072613263 @default.
- W2289271402 cites W2073867489 @default.
- W2289271402 cites W2075108083 @default.
- W2289271402 cites W2075391049 @default.
- W2289271402 cites W2088984214 @default.
- W2289271402 cites W2090915513 @default.
- W2289271402 cites W2093268731 @default.
- W2289271402 cites W2094973654 @default.
- W2289271402 cites W2101044141 @default.
- W2289271402 cites W2102717583 @default.
- W2289271402 cites W2120496201 @default.
- W2289271402 cites W2121745948 @default.
- W2289271402 cites W2124141023 @default.
- W2289271402 cites W2127367343 @default.
- W2289271402 cites W2138716039 @default.
- W2289271402 cites W2157455439 @default.
- W2289271402 cites W2159078401 @default.
- W2289271402 cites W2160275807 @default.
- W2289271402 cites W2170816806 @default.
- W2289271402 cites W2322683298 @default.
- W2289271402 cites W2606013331 @default.
- W2289271402 cites W2606890070 @default.
- W2289271402 doi "https://doi.org/10.5194/essd-8-127-2016" @default.
- W2289271402 hasPublicationYear "2016" @default.
- W2289271402 type Work @default.
- W2289271402 sameAs 2289271402 @default.
- W2289271402 citedByCount "49" @default.
- W2289271402 countsByYear W22892714022016 @default.
- W2289271402 countsByYear W22892714022017 @default.
- W2289271402 countsByYear W22892714022018 @default.
- W2289271402 countsByYear W22892714022019 @default.
- W2289271402 countsByYear W22892714022020 @default.
- W2289271402 countsByYear W22892714022021 @default.
- W2289271402 countsByYear W22892714022022 @default.
- W2289271402 countsByYear W22892714022023 @default.
- W2289271402 crossrefType "journal-article" @default.
- W2289271402 hasAuthorship W2289271402A5001321008 @default.
- W2289271402 hasAuthorship W2289271402A5003764127 @default.
- W2289271402 hasAuthorship W2289271402A5007929160 @default.
- W2289271402 hasAuthorship W2289271402A5026824962 @default.
- W2289271402 hasAuthorship W2289271402A5043774001 @default.
- W2289271402 hasAuthorship W2289271402A5082560938 @default.
- W2289271402 hasAuthorship W2289271402A5083186919 @default.
- W2289271402 hasBestOaLocation W22892714021 @default.
- W2289271402 hasConcept C105795698 @default.
- W2289271402 hasConcept C107054158 @default.
- W2289271402 hasConcept C111368507 @default.
- W2289271402 hasConcept C126645576 @default.
- W2289271402 hasConcept C127313418 @default.
- W2289271402 hasConcept C132651083 @default.
- W2289271402 hasConcept C153294291 @default.
- W2289271402 hasConcept C197046000 @default.
- W2289271402 hasConcept C197115733 @default.
- W2289271402 hasConcept C205649164 @default.
- W2289271402 hasConcept C33923547 @default.
- W2289271402 hasConcept C39432304 @default.
- W2289271402 hasConcept C49204034 @default.
- W2289271402 hasConcept C58640448 @default.
- W2289271402 hasConcept C75398719 @default.
- W2289271402 hasConcept C81692654 @default.
- W2289271402 hasConcept C91586092 @default.
- W2289271402 hasConceptScore W2289271402C105795698 @default.
- W2289271402 hasConceptScore W2289271402C107054158 @default.
- W2289271402 hasConceptScore W2289271402C111368507 @default.
- W2289271402 hasConceptScore W2289271402C126645576 @default.
- W2289271402 hasConceptScore W2289271402C127313418 @default.
- W2289271402 hasConceptScore W2289271402C132651083 @default.
- W2289271402 hasConceptScore W2289271402C153294291 @default.
- W2289271402 hasConceptScore W2289271402C197046000 @default.
- W2289271402 hasConceptScore W2289271402C197115733 @default.