Articles | Volume 29, issue 17
https://doi.org/10.5194/hess-29-4153-2025
© 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-29-4153-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Sep 2025
Research article |
| 08 Sep 2025
| 08 Sep 2025
Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Joren Janzing
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Amber van Hamel
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Jonas Götte
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Dominik L. Schumacher
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Manuela I. Brunner
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
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Cited
12 citations as recorded by crossref.
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- Unraveling the coupling-driven patterns of urban carbon emissions and urban heat islands: An LCZ-based interpretable machine learning approach W. Liu et al. https://doi.org/10.1016/j.scs.2026.107472
- Compounding preconditions of wildfires vary in time and space within Europe J. Miller et al. https://doi.org/10.1038/s43247-025-02955-1
- Evaluation of extreme temperature events in the Iberian Peninsula based on Copernicus CERRA reanalysis A. Gonzalez et al. https://doi.org/10.1016/j.wace.2026.100872
- Projected Reorganization of Euro-Mediterranean Bioclimates under Climate Change: Evidence from CMIP6 Multi-model Ensemble G. Ferreiro-Lera et al. https://doi.org/10.1007/s41748-026-01145-z
- A global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations W. Zhao et al. https://doi.org/10.1016/j.rse.2026.115425
- HYD-RESPONSES: daily hydro-meteorological catchment-level time series to analyse HYDrological drought dynamics in RESPONSE to (cumulative) water deficits in Swiss catchments C. von Matt et al. https://doi.org/10.5194/essd-18-4113-2026
- River temperature response to atmospheric heatwaves is modulated by discharge and meltwater A. van Hamel et al. https://doi.org/10.1038/s43247-026-03269-6
- Retrospective Analysis of Moisture Conditions in Eastern Kazakhstan Using the Selyaninov Hydrothermal Coefficient Based on ERA5 and ERA5-Land Reanalyses (1960–2024) E. Mordvin et al. https://doi.org/10.3390/app16115593
- Causally guided symbolic regression for basin-scale water balance change in the China–Mongolia arid region R. Li et al. https://doi.org/10.1016/j.ejrh.2026.103355
- Warmer growing seasons improve cereal yields in Northern Europe only with increasing precipitation F. Tootoonchi et al. https://doi.org/10.5194/bg-23-2583-2026
- Detection and characterization of precipitation extremes and geohydrological hazards over a transboundary Alpine area based on different methods and climate datasets A. Crespi et al. https://doi.org/10.5194/nhess-26-1975-2026
12 citations as recorded by crossref.
- Ensemble reanalysis of regional temperature variability and teleconnection impacts in Odisha N. Kar & S. Sahu https://doi.org/10.1080/27658511.2026.2641858
- Unraveling the coupling-driven patterns of urban carbon emissions and urban heat islands: An LCZ-based interpretable machine learning approach W. Liu et al. https://doi.org/10.1016/j.scs.2026.107472
- Compounding preconditions of wildfires vary in time and space within Europe J. Miller et al. https://doi.org/10.1038/s43247-025-02955-1
- Evaluation of extreme temperature events in the Iberian Peninsula based on Copernicus CERRA reanalysis A. Gonzalez et al. https://doi.org/10.1016/j.wace.2026.100872
- Projected Reorganization of Euro-Mediterranean Bioclimates under Climate Change: Evidence from CMIP6 Multi-model Ensemble G. Ferreiro-Lera et al. https://doi.org/10.1007/s41748-026-01145-z
- A global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations W. Zhao et al. https://doi.org/10.1016/j.rse.2026.115425
- HYD-RESPONSES: daily hydro-meteorological catchment-level time series to analyse HYDrological drought dynamics in RESPONSE to (cumulative) water deficits in Swiss catchments C. von Matt et al. https://doi.org/10.5194/essd-18-4113-2026
- River temperature response to atmospheric heatwaves is modulated by discharge and meltwater A. van Hamel et al. https://doi.org/10.1038/s43247-026-03269-6
- Retrospective Analysis of Moisture Conditions in Eastern Kazakhstan Using the Selyaninov Hydrothermal Coefficient Based on ERA5 and ERA5-Land Reanalyses (1960–2024) E. Mordvin et al. https://doi.org/10.3390/app16115593
- Causally guided symbolic regression for basin-scale water balance change in the China–Mongolia arid region R. Li et al. https://doi.org/10.1016/j.ejrh.2026.103355
- Warmer growing seasons improve cereal yields in Northern Europe only with increasing precipitation F. Tootoonchi et al. https://doi.org/10.5194/bg-23-2583-2026
- Detection and characterization of precipitation extremes and geohydrological hazards over a transboundary Alpine area based on different methods and climate datasets A. Crespi et al. https://doi.org/10.5194/nhess-26-1975-2026
Saved (final revised paper)
Latest update: 25 Jun 2026
Short summary
Continuous and high-quality meteorological datasets are crucial to study extreme hydro-climatic events. We here conduct a comprehensive spatio-temporal evaluation of precipitation and temperature for four climate reanalysis datasets, focusing on mean and extreme metrics, variability, trends, and the representation of droughts and floods over Switzerland. Our analysis shows that all datasets have some merit when limitations are considered, and that one dataset performs better than the others.
Continuous and high-quality meteorological datasets are crucial to study extreme hydro-climatic...
