Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1441-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1441-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
31 Mar 2023
Data description paper |
| 31 Mar 2023
| 31 Mar 2023
EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Else van den Besselaar
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Gerard van der Schrier
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Jan Fokke Meirink
R&D Satellite Observations, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Emiel van der Plas
R&D Satellite Observations, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Hidde Leijnse
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
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Cited
22 citations as recorded by crossref.
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- Improving design precipitation estimates by combining estimates from high-resolution adjusted radar data and long-term ombrographic measurements M. Kašpar et al. 10.1016/j.atmosres.2025.108557
- Attribution of extreme precipitation related to a fatal derailment near Carmont, Scotland S. Tett et al. 10.1088/2752-5295/adeeb7
- Enhancing the accuracy of weather radar heavy rainfall estimates in mountainous regions using combined radar quality indices M. Methaprayun et al. 10.1016/j.jhydrol.2025.133907
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. 10.5194/essd-17-4715-2025
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. 10.5194/hess-29-5299-2025
- Saudi Rainfall (SaRa): hourly 0.1° gridded rainfall (1979–present) for Saudi Arabia via machine learning fusion of satellite and model data X. Wang et al. 10.5194/hess-29-4983-2025
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Hourly, kilometer-scale precipitation merged from rain gauge, ground-based radar and satellites over east Asia: methods, evaluation and applications H. Xia & K. Wang 10.1016/j.jhydrol.2025.134148
- Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. 10.3389/feart.2025.1548557
- Long-term multi-source precipitation estimation with high resolution (RainGRS Clim) A. Jurczyk et al. 10.5194/amt-16-4067-2023
- Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. 10.1038/s41598-024-84527-5
- Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022 P. Filippucci et al. 10.5194/essd-17-5221-2025
- Compilation method of a catalogue of reasonable worst-case rainfall series for flash flood simulations of short, convective rainstorms E. Paton et al. 10.1016/j.jhydrol.2024.131091
- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. 10.1016/j.jhydrol.2024.132460
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset A. Overeem et al. 10.5194/essd-15-1441-2023
- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. 10.5194/essd-17-4097-2025
- Water and carbon balances in a hemi-boreal forest E. Mercuri et al. 10.2478/fsmu-2023-0006
18 citations as recorded by crossref.
- The State of Precipitation Measurements at Mid-to-High Latitudes L. Milani & C. Kidd 10.3390/atmos14111677
- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. 10.5194/essd-17-4097-2025
- Accounting for the annual variability when assessing non-point source pollution potential in Mediterranean regulated watersheds E. Contreras et al. 10.1016/j.scitotenv.2023.167261
- Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg F. Burgemeister et al. 10.5194/essd-16-2317-2024
- Improving design precipitation estimates by combining estimates from high-resolution adjusted radar data and long-term ombrographic measurements M. Kašpar et al. 10.1016/j.atmosres.2025.108557
- Attribution of extreme precipitation related to a fatal derailment near Carmont, Scotland S. Tett et al. 10.1088/2752-5295/adeeb7
- Enhancing the accuracy of weather radar heavy rainfall estimates in mountainous regions using combined radar quality indices M. Methaprayun et al. 10.1016/j.jhydrol.2025.133907
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. 10.5194/essd-17-4715-2025
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. 10.5194/hess-29-5299-2025
- Saudi Rainfall (SaRa): hourly 0.1° gridded rainfall (1979–present) for Saudi Arabia via machine learning fusion of satellite and model data X. Wang et al. 10.5194/hess-29-4983-2025
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Hourly, kilometer-scale precipitation merged from rain gauge, ground-based radar and satellites over east Asia: methods, evaluation and applications H. Xia & K. Wang 10.1016/j.jhydrol.2025.134148
- Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. 10.3389/feart.2025.1548557
- Long-term multi-source precipitation estimation with high resolution (RainGRS Clim) A. Jurczyk et al. 10.5194/amt-16-4067-2023
- Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. 10.1038/s41598-024-84527-5
- Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022 P. Filippucci et al. 10.5194/essd-17-5221-2025
- Compilation method of a catalogue of reasonable worst-case rainfall series for flash flood simulations of short, convective rainstorms E. Paton et al. 10.1016/j.jhydrol.2024.131091
- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. 10.1016/j.jhydrol.2024.132460
4 citations as recorded by crossref.
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset A. Overeem et al. 10.5194/essd-15-1441-2023
- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. 10.5194/essd-17-4097-2025
- Water and carbon balances in a hemi-boreal forest E. Mercuri et al. 10.2478/fsmu-2023-0006
Latest update: 30 Oct 2025
Short summary
EURADCLIM is a new precipitation dataset covering a large part of Europe. It is based on weather radar data to provide local precipitation information every hour and combined with rain gauge data to obtain good precipitation estimates. EURADCLIM provides a much better reference for validation of weather model output and satellite precipitation datasets. It also allows for climate monitoring and better evaluation of extreme precipitation events and their impact (landslides, flooding).
EURADCLIM is a new precipitation dataset covering a large part of Europe. It is based on weather...
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