Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
Earth Syst. Sci. Data, 8, 127-139, 2016
https://doi.org/10.5194/essd-8-127-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
21 Mar 2016
CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins
Tomasz Berezowski1, Mateusz Szcześniak1, Ignacy Kardel1, Robert Michałowski1, Tomasz Okruszko1, Abdelkader Mezghani2, and Mikołaj Piniewski1,3 1Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
2Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0313 Oslo, Norway
3Potsdam Institute for Climate Impact Research, Telegrafenberg, 14473 Potsdam, Germany
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.


Citation: Berezowski, T., Szcześniak, M., Kardel, I., Michałowski, R., Okruszko, T., Mezghani, A., and Piniewski, M.: CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins, Earth Syst. Sci. Data, 8, 127-139, https://doi.org/10.5194/essd-8-127-2016, 2016.
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Short summary
Three meteorological variables (precipitation, minimum temperature, and maximum temperature) are interpolated on a 5 km grid, available at three temporal aggregations (daily, monthly and annual), and prepared for the period 1951–2013 in two numerical formats: Geotiff and NetCDF3. The spatial extent includes the union of Poland and the Vistula and Oder basins.
Three meteorological variables (precipitation, minimum temperature, and maximum temperature) are...
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