Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2825-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2825-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology
Institute of Atmospheric Sciences and Climate, National Research Council of Italy, Corso Fiume 4, Turin, Italy
Elisa Palazzi
Institute of Atmospheric Sciences and Climate, National Research Council of Italy, Corso Fiume 4, Turin, Italy
Jost von Hardenberg
Institute of Atmospheric Sciences and Climate, National Research Council of Italy, Corso Fiume 4, Turin, Italy
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16 citations as recorded by crossref.
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- Should We Use Quantile-Mapping-Based Methods in a Climate Change Context? A “Perfect Model” Experiment M. Vrac et al. https://doi.org/10.3390/cli13070137
- Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network J. Leinonen et al. https://doi.org/10.1109/TGRS.2020.3032790
- Precipitation Downscaling with Gibbs Sampling: An Improved Method for Producing Realistic, Weather-Dependent, and Anisotropic Fields J. Bellier et al. https://doi.org/10.1175/JHM-D-20-0069.1
- 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. https://doi.org/10.5194/essd-17-5221-2025
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- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. https://doi.org/10.3390/w14142218
- Response of Extreme Rainfall to Atmospheric Warming and Wetting: Implications for Hydrologic Designs Under a Changing Climate J. Zhang et al. https://doi.org/10.1029/2022JD038430
- Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI L. Glawion et al. https://doi.org/10.1038/s41612-025-01103-y
- Hydrological Impacts of Large Fires and Future Climate: Modeling Approach Supported by Satellite Data C. Carvalho-Santos et al. https://doi.org/10.3390/rs11232832
- Mapping 30-m Resolution Bioclimatic Variables During 1991–2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches R. Wang et al. https://doi.org/10.1109/JSTARS.2024.3358829
- Seasonal forecasting of snow resources at Alpine sites S. Terzago et al. https://doi.org/10.5194/hess-27-519-2023
- High-resolution precipitation downscaling in mainland Southeast Asia: A novel integration of BMA and U-Net CNN T. Amnuaylojaroen https://doi.org/10.1016/j.envsoft.2025.106682
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. https://doi.org/10.5194/nhess-24-501-2024
- Simulating silver fir provenance responses to climate change: A forest modelling approach in the Northern Apennines S. Oggioni et al. https://doi.org/10.1016/j.fecs.2025.100389
16 citations as recorded by crossref.
- Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. https://doi.org/10.5194/gmd-15-6115-2022
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP K. Weigel et al. https://doi.org/10.5194/gmd-14-3159-2021
- Should We Use Quantile-Mapping-Based Methods in a Climate Change Context? A “Perfect Model” Experiment M. Vrac et al. https://doi.org/10.3390/cli13070137
- Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network J. Leinonen et al. https://doi.org/10.1109/TGRS.2020.3032790
- Precipitation Downscaling with Gibbs Sampling: An Improved Method for Producing Realistic, Weather-Dependent, and Anisotropic Fields J. Bellier et al. https://doi.org/10.1175/JHM-D-20-0069.1
- 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. https://doi.org/10.5194/essd-17-5221-2025
- PreciPatch: A Dictionary-based Precipitation Downscaling Method M. Xu et al. https://doi.org/10.3390/rs12061030
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. https://doi.org/10.3390/w14142218
- Response of Extreme Rainfall to Atmospheric Warming and Wetting: Implications for Hydrologic Designs Under a Changing Climate J. Zhang et al. https://doi.org/10.1029/2022JD038430
- Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI L. Glawion et al. https://doi.org/10.1038/s41612-025-01103-y
- Hydrological Impacts of Large Fires and Future Climate: Modeling Approach Supported by Satellite Data C. Carvalho-Santos et al. https://doi.org/10.3390/rs11232832
- Mapping 30-m Resolution Bioclimatic Variables During 1991–2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches R. Wang et al. https://doi.org/10.1109/JSTARS.2024.3358829
- Seasonal forecasting of snow resources at Alpine sites S. Terzago et al. https://doi.org/10.5194/hess-27-519-2023
- High-resolution precipitation downscaling in mainland Southeast Asia: A novel integration of BMA and U-Net CNN T. Amnuaylojaroen https://doi.org/10.1016/j.envsoft.2025.106682
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. https://doi.org/10.5194/nhess-24-501-2024
- Simulating silver fir provenance responses to climate change: A forest modelling approach in the Northern Apennines S. Oggioni et al. https://doi.org/10.1016/j.fecs.2025.100389
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Latest update: 09 Jun 2026
Short summary
This study proposes a modification to a stochastic downscaling method for precipitation, RainFARM, to improve the representation of the statistics of the daily precipitation at fine scales (1 km) in mountain areas. This method has been demonstrated in the Alps and it has been found to reconstruct small-scale precipitation distribution. It can be employed in a number of applications, including the analysis of extreme events and their statistics and hydrometeorological hazards.
This study proposes a modification to a stochastic downscaling method for precipitation,...
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