EMS Annual Meeting Abstracts
Vol. 22, EMS2025-412, 2025, updated on 07 Sep 2025
https://doi.org/10.5194/ems2025-412
EMS Annual Meeting 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
CLIMADAT-hub: High-resolution long-term climate projections for Greece
Konstantinos V. Varotsos1, Gianna Kitsara1, Anna Karali1, Ioannis Lemesios1, Platon Patlakas2, Maria Hatzaki3, Vasilis Tenentes1, George Katavoutas1, Athanasios Sarantopoulos4, Basil Psiloglou1, and Christos Giannakopoulos1
Konstantinos V. Varotsos et al.
  • 1National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Athens, Greece (gkitsara@noa.gr)
  • 2Department of Physics, National and Kapodistrian University of Athens, Athens, Greece
  • 3Laboratory of Climatology and Atmospheric Environment, Section of Geography and Climatology, Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, Athens, Greece
  • 4Hellenic National Meteorological Service, Athens, Greece

CLIMADAT-hub project aims at bridging the gap between the available climatic information and the information required for assessing climate risks at the local scale by creating high resolution observational gridded datasets, as well as statistically downscaled seasonal forecasts and climate change projections for Greece.

             Regarding the climate change projections, the main objective is to statistical downscale CMIP6 climate change output to a higher spatial resolution, using the CLIMADAT-GRid dataset- a daily gridded dataset at 1km x 1km developed in the early days of the project, as the reference dataset (Varotsos et al., 2025, https://doi.org/10.5194/essd-2025-29). To this aim the long-term climate projections data are remapped on the high resolution CLIMADAT-GRid gridded datasets using bilinear interpolation and consequently the models’ output is bias adjusted using the gridded product as the reference dataset. To reduce the computational cost prior to statistical downscaling a regional sub-ensemble that encapsulates the variability of CMIP6 projections is created using a methodology that refines CMIP6 model selection to balance historical accuracy with diverse future responses. In this study, we report the results of the climate change assessment on a very high resolution over Greece, for temperature and precipitation, while the statistical downscaling will be extended for other variables such as relative humidity and wind speed. The results of this project can be utilized by stakeholders and decision makers to develop well-informed and science-based local/regional adaptation plans, in order to allow better use of water resources, improve agricultural production and sustainability, as well as make urban centers climate proof.

CLIMADAT-hub is a two-year project within the framework of H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union – NextGenerationEU.

 

 

How to cite: Varotsos, K. V., Kitsara, G., Karali, A., Lemesios, I., Patlakas, P., Hatzaki, M., Tenentes, V., Katavoutas, G., Sarantopoulos, A., Psiloglou, B., and Giannakopoulos, C.: CLIMADAT-hub: High-resolution long-term climate projections for Greece, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-412, https://doi.org/10.5194/ems2025-412, 2025.