Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4455-2025
https://doi.org/10.5194/essd-17-4455-2025
Data description paper
 | 
10 Sep 2025
Data description paper |  | 10 Sep 2025

CLIMADAT-GRid: a high-resolution daily gridded precipitation and temperature dataset for Greece

Konstantinos V. Varotsos, George Katavoutas, Gianna Kitsara, Anna Karali, Ioannis Lemesios, Platon Patlakas, Maria Hatzaki, Vassilis Tenentes, Athanasios Sarantopoulos, Basil Psiloglou, Aristeidis G. Koutroulis, Manolis G. Grillakis, and Christos Giannakopoulos

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Cited articles

Avila-Diaz, A., Bromwich, D. H., Wilson, A. B., Justino, F., and Wang, S.-H.: Climate extremes across the North American Arctic in modern reanalyses, J. Climate, 34, 2385–2410, https://doi.org/10.1175/JCLI-D-20-0093.1, 2021. 
Beck, H. E., Pan, M., Roy, T., Weedon, G. P., Pappenberger, F., van Dijk, A. I. J. M., Huffman, G. J., Adler, R. F., and Wood, E. F.: Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, Hydrol. Earth Syst. Sci., 23, 207–224, https://doi.org/10.5194/hess-23-207-2019, 2019. 
Beguería, S., Vicente Serrano, S. M., Tomás-Burguera, M., and Maneta, M.: Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability, Int. J. Climatol., 36, 3413–3422, https://doi.org/10.1002/joc.4561, 2016. 
Bhuiyan, M. A. E., Nikolopoulos, E. I., and Anagnostou, E. N.: Machine learning–based blending of satellite and reanalysis precipitation datasets: A multiregional tropical complex terrain evaluation, J. Hydrometeorol., 20, 2147–2161, https://doi.org/10.1175/JHM-D-19-0073.1, 2019. 
Bonsoms, J. and Ninyerola, M.: Comparison of linear, generalized additive models and machine learning algorithms for spatial climate interpolation, Theor. Appl. Climatol., 155, 1777–1792, https://doi.org/10.1007/s00704-023-04725-5, 2024. 
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Short summary
CLIMADAT-GRid is the first, publicly available, daily air temperature and precipitation gridded climate dataset for Greece at a high resolution of 1 km × 1 km and for the period 1981–2019. The dataset is based on quality-controlled station data, and various interpolation techniques were evaluated for generating the daily grids. CLIMADAT-GRid serves as a valuable resource for research and information in climate studies as well as in other areas such as hydrology, agriculture, energy, and health.
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