Articles | Volume 29, issue 19
https://doi.org/10.5194/hess-29-4929-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-4929-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Oct 2025
Research article |
| 02 Oct 2025
| 02 Oct 2025
Diurnal variability of global precipitation: insights from hourly satellite and reanalysis datasets
Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha – Suchdol, Czech Republic
Yannis Markonis
Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha – Suchdol, Czech Republic
Francesco Marra
Department of Geosciences, University of Padua, Padua, Italy
Institute of Atmospheric Sciences and Climate, National Research Council of Italy, Bologna, Italy
Efthymios I. Nikolopoulos
Department of Civil and Environmental Engineering, Rutgers University, Piscataway, NJ, 08854, USA
Simon Michael Papalexiou
Institute for Global Water Security, Hamburg University of Technology, Hamburg, Germany
Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha – Suchdol, Czech Republic
Department of Civil Engineering, University of Calgary, Calgary, AB, Canada
Vincenzo Levizzani
Institute of Atmospheric Sciences and Climate, National Research Council of Italy, Bologna, Italy
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Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou, Andrew J. Newman, Andrew W. Wood, Dominique Brunet, and Paul H. Whitfield
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Short summary
This study compared global satellite and reanalysis precipitation datasets to assess diurnal variability. We found that all datasets capture key diurnal precipitation patterns, with maximum precipitation in the afternoon over land and early morning over the ocean. However, there are differences in the exact timing and amount of precipitation. This suggests that it is better to use a combination of datasets for potential applications rather than relying on a single dataset.
This study compared global satellite and reanalysis precipitation datasets to assess diurnal...
