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https://doi.org/10.5194/essd-2020-234
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-234
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Oct 2020

08 Oct 2020

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This preprint is currently under review for the journal ESSD.

G2DC-PL+ A gridded 2 km daily climate dataset for the union of the Polish territory and the Vistula and Odra basins

Mikołaj Piniewski1, Mateusz Szcześniak2, Ignacy Kardel1, Somsubhra Chattopadhyay1, and Tomasz Berezowski3 Mikołaj Piniewski et al.
  • 1Department of Hydrology, Meteorology and Water Management, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
  • 2independent researcher
  • 3Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

Abstract. G2DC-PL+ – a gridded 2 km daily climate dataset for the union of the Polish territory and the Vistula and Odra basins is an update and extension of the CHASE-PL Forcing Data – Gridded Daily Precipitation & Temperature Dataset – 5 km (CPLFD-GDPT5). The latter was the first publicly available, high-resolution climate forcing dataset in Poland, used for a range of purposes including hydrological modelling and bias correction of climate projections. While the spatial coverage of the new dataset remained the same, it has undergone several major changes: (1) the time coverage was increased from 1951–2013 to 1951–2019; (2) its spatial resolution increased from 5 to 2 km; (3) the number of stations used for interpolation of temperature and precipitation approximately doubled; (4) in addition to precipitation and temperature, the dataset consists of relative humidity and wind speed data. The main purpose for developing this product was the need for long-term areal climate data for earth-system modelling, and particularly hydrological modelling. Geostatistical methods (kriging) were used for interpolation of the studied climate variables. The kriging cross-validation revealed improved performance for precipitation compared to the original dataset expressed by the median of the root mean squared errors standardised by standard deviation of observations (0.59 vs. 0.79). Kriging errors were negatively correlated with station density only for the period 1951–1970. RMSEsd values were equal to 0.52 and 0.4 for minimum and maximum temperature, respectively, suggesting a small to moderate improvement over the original dataset. Relative humidity and wind speed exhibited lower performance, with median RMSEsd equal to 0.82 and 0.87, respectively. The dataset is openly available from the 4TU Centre for Research Data at https://doi.org/10.4121/uuid:a3bed3b8-e22a-4b68-8d75-7b87109c9feb (Piniewski et al., 2020).

Mikołaj Piniewski et al.

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G2DC-PL+ A gridded 2 km daily climate dataset for the union of Polish territory and the Vistula and Odra basins Mikołaj Piniewski, Mateusz Szcześniak, Ignacy Kardel, and Tomasz Berezowski https://doi.org/10.4121/uuid:a3bed3b8-e22a-4b68-8d75-7b87109c9feb

Mikołaj Piniewski et al.

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Latest update: 28 Oct 2020
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Short summary
High-resolution gridded climate data are a key component of earth system and hydrology models. Here we have described how we updated and extended the previous version of the climate dataset covering Poland and parts of neighbouring countries. The new dataset includes new variables (wind speed and relative humidity), has a higher spatial resolution (2 km) and has been updated to cover most recent years 2014–2019. Use of a higher number of station data resulted in reducing interpolation errors.
High-resolution gridded climate data are a key component of earth system and hydrology models....
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