Preprints
https://doi.org/10.5194/essd-2020-327
https://doi.org/10.5194/essd-2020-327

  14 Jan 2021

14 Jan 2021

Review status: this preprint is currently under review for the journal ESSD.

SLOCLIM: A high-resolution daily gridded precipitation and temperature dataset for Slovenia

Nina Škrk1, Martín de Luis2, Katarina Čufar1, Zalika Črepinšek3, Lučka Kajfež Bogataj3, and Roberto Serrano-Notivoli4 Nina Škrk et al.
  • 1Department of Wood Science and Technology, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia
  • 2Department of Geography and Regional Planning and Environmental Sciences Institute (IUCA), University of Zaragoza, E50009, Spain
  • 3Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia
  • 4Department of Geography, Autonomous University of Madrid, Madrid, E-28049, Spain

Abstract. We present a new publicly available daily gridded dataset of maximum and minimum temperature and precipitation data covering the whole territory of Slovenia from 1950 to 2018. It represents the great variability of climate at the crossroads between the Mediterranean, Alpine and continental climatic regimes with altitudes between 0–2864 m a.s.l. We completely reconstructed (quality control and gap filling) the data for the three variables from 174 observatories (climatological, precipitation and automatic stations) with the original records all over the country. A comprehensive quality control process based on the spatial coherence of the data was applied to the original dataset, and the missing values were estimated for each day and location independently. Using the filled data series, a grid of 1 × 1 km spatial resolution with 20,998 points was created by estimating daily temperatures (minimum and maximum) and precipitation, and their corresponding uncertainties at each grid point. In order to show the potential applications, four daily temperature indices and two on precipitation were calculated to describe the spatial distribution of: 1) the absolute maximum and minimum temperature; 2) the number of frost days; 3) the number of summer days; 4) the intensity of precipitation; and 5) the maximum number of consecutive dry days. The use of all the available information, the complete quality control and the high spatial resolution of the grid allowed for an accurate estimate of precipitation and temperature that represents a precise spatial and temporal distribution of daily temperatures and precipitation in Slovenia. The SLOCLIM dataset is publicly available at https://doi.org/10.5281/zenodo.4108543 and can be cited as Škrk et al. (2020).

Nina Škrk et al.

Status: open (until 31 Mar 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-327', Martin Hanel, 04 Feb 2021 reply
  • CC1: 'Comment on essd-2020-327', Michael Grabner, 16 Feb 2021 reply

Nina Škrk et al.

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SLOCLIM: A high-resolution daily gridded precipitation and temperature dataset for Slovenia Nina Škrk, Martin De Luis, Katarina Čufar, Zalika Črepinšek, Lučka Kajfež Bogataj, and Roberto Serrano-Notivoli https://doi.org/10.5281/zenodo.4108543

Nina Škrk et al.

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Short summary
SLOCLIM is the first climatic reconstruction for Slovenia with a spatial resolution of 1 × 1 km, providing daily data of maximum and minimum temperature and precipitation from 1950 to 2018. This new daily gridded dataset contributes significantly to the climate description of the country and is expected to facilitate research activities in numerous scientific disciplines dealing with climate trends, environment, human and animal populations, agriculture and forestry.