Articles | Volume 27, issue 13
https://doi.org/10.5194/hess-27-2559-2023
© 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/hess-27-2559-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jul 2023
Research article |
| 12 Jul 2023
| 12 Jul 2023
Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia
Marcos Julien Alexopoulos
EMVIS S. A., Consultant Engineers-Environmental Services, Research
Information Technology & Services, 15343 Athens, Greece
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, 15780 Athens, Greece
Hannes Müller-Thomy
CORRESPONDING AUTHOR
Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Division of Hydrology and River Basin Management, Technische Universität Braunschweig, Braunschweig, Germany
Patrick Nistahl
Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Division of Hydrology and River Basin Management, Technische Universität Braunschweig, Braunschweig, Germany
Mojca Šraj
Faculty of Civil and Geodetic Engineering, University of Ljubljana,
Jamova cesta 2, Ljubljana, Slovenia
Nejc Bezak
Faculty of Civil and Geodetic Engineering, University of Ljubljana,
Jamova cesta 2, Ljubljana, Slovenia
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16 citations as recorded by crossref.
- Advanced solar energy potential assessment in Malawi: Utilizing high-resolution WRF model and GIS to identify optimal sites for solar PV generation S. Chisale et al. https://doi.org/10.1016/j.renene.2024.122084
- Assessing the performance of the CERRA dataset in reproducing precipitation and extreme precipitation events over the Iberian Peninsula I. Alvarez et al. https://doi.org/10.1016/j.ejrh.2025.102517
- Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
- PROJEKCIJA PROMENA KVANTILA EKSTREMNIH PADAVINA U USLOVIMA BUDUĆE KLIME U SRBIJI – PRIMER SLIVA REKE TOPLICE N. ĐOKIĆ et al. https://doi.org/10.46793/Vodoprivreda57.1-2.45D
- Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale W. Qi et al. https://doi.org/10.3390/w16111553
- Predicting aflatoxin risk with seasonal meteorological forecast D. Balková et al. https://doi.org/10.1088/1748-9326/ae3629
- Forecasting dengue severity using machine learning and environmental predictors in Chanthaburi, Thailand P. Ratanawong et al. https://doi.org/10.64960/easr.2026.263838
- Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy F. Cavalleri et al. https://doi.org/10.1016/j.atmosres.2024.107734
- Using Machine Learning to Predict Suspended Sediment Transport under Climate Change N. Bezak et al. https://doi.org/10.1007/s11269-025-04108-7
- Innovative use of reanalysis data in Slovenia: Enhancing precipitation time series with a multiplicative cascade model H. Müller-Thomy et al. https://doi.org/10.1016/j.ejrh.2025.102530
- Can discharge be used to inversely correct precipitation? A. Manoj J et al. https://doi.org/10.5194/hess-29-6115-2025
- The contribution of floods to streamflow at yearly timescales: A global assessment C. Dykman et al. https://doi.org/10.1016/j.jhydrol.2025.133099
- Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al. https://doi.org/10.3390/biology15030257
- Contrasting feedback mechanisms drive basin-scale vegetation vulnerability to drought in cold-arid northern China J. Ji et al. https://doi.org/10.1016/j.jenvman.2026.128929
- Assessing Earthquake-Induced Sediment Accumulation and Its Influence on Flooding in the Kota Belud Catchment of Malaysia Using a Combined D-InSAR and DEM-Based Analysis N. Batmanathan et al. https://doi.org/10.3390/earth6040151
- Machine Learning for Reconstructing Meteorological Data Using ERA5 A. Rad et al. https://doi.org/10.1016/j.rineng.2026.111512
16 citations as recorded by crossref.
- Advanced solar energy potential assessment in Malawi: Utilizing high-resolution WRF model and GIS to identify optimal sites for solar PV generation S. Chisale et al. https://doi.org/10.1016/j.renene.2024.122084
- Assessing the performance of the CERRA dataset in reproducing precipitation and extreme precipitation events over the Iberian Peninsula I. Alvarez et al. https://doi.org/10.1016/j.ejrh.2025.102517
- Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
- PROJEKCIJA PROMENA KVANTILA EKSTREMNIH PADAVINA U USLOVIMA BUDUĆE KLIME U SRBIJI – PRIMER SLIVA REKE TOPLICE N. ĐOKIĆ et al. https://doi.org/10.46793/Vodoprivreda57.1-2.45D
- Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale W. Qi et al. https://doi.org/10.3390/w16111553
- Predicting aflatoxin risk with seasonal meteorological forecast D. Balková et al. https://doi.org/10.1088/1748-9326/ae3629
- Forecasting dengue severity using machine learning and environmental predictors in Chanthaburi, Thailand P. Ratanawong et al. https://doi.org/10.64960/easr.2026.263838
- Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy F. Cavalleri et al. https://doi.org/10.1016/j.atmosres.2024.107734
- Using Machine Learning to Predict Suspended Sediment Transport under Climate Change N. Bezak et al. https://doi.org/10.1007/s11269-025-04108-7
- Innovative use of reanalysis data in Slovenia: Enhancing precipitation time series with a multiplicative cascade model H. Müller-Thomy et al. https://doi.org/10.1016/j.ejrh.2025.102530
- Can discharge be used to inversely correct precipitation? A. Manoj J et al. https://doi.org/10.5194/hess-29-6115-2025
- The contribution of floods to streamflow at yearly timescales: A global assessment C. Dykman et al. https://doi.org/10.1016/j.jhydrol.2025.133099
- Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al. https://doi.org/10.3390/biology15030257
- Contrasting feedback mechanisms drive basin-scale vegetation vulnerability to drought in cold-arid northern China J. Ji et al. https://doi.org/10.1016/j.jenvman.2026.128929
- Assessing Earthquake-Induced Sediment Accumulation and Its Influence on Flooding in the Kota Belud Catchment of Malaysia Using a Combined D-InSAR and DEM-Based Analysis N. Batmanathan et al. https://doi.org/10.3390/earth6040151
- Machine Learning for Reconstructing Meteorological Data Using ERA5 A. Rad et al. https://doi.org/10.1016/j.rineng.2026.111512
Saved (final revised paper)
Latest update: 23 Jun 2026
Short summary
For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
For rainfall-runoff simulation of a certain area, hydrological models are used, which requires...
