Articles | Volume 15, issue 5
https://doi.org/10.5194/hess-15-1445-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-1445-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 May 2011
Research article |
| 11 May 2011
Copula-based downscaling of spatial rainfall: a proof of concept
M. J. van den Berg
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
S. Vandenberghe
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
B. De Baets
Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000 Ghent Belgium
N. E. C. Verhoest
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
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Cited
15 citations as recorded by crossref.
- Spatially-explicit sensitivity analysis for land suitability evaluation E. Xu & H. Zhang 10.1016/j.apgeog.2013.08.005
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data G. Mao et al. 10.5194/hess-19-1787-2015
- Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. 10.3390/atmos10030150
- Causal Reasoning: Towards Dynamic Predictive Models for Runoff Temporal Behavior of High Dependence Rivers J. Molina et al. 10.3390/w11050877
- Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction N. Verhoest et al. 10.1109/TGRS.2014.2378913
- Capitalizing on a wealth of spatial information: Improving biogeographic regionalization through the use of spatial clustering P. Gao & J. Kupfer 10.1016/j.apgeog.2018.08.002
- A High-Resolution Regional Climate Model Physics Ensemble for Northern Sub-Saharan Africa P. Laux et al. 10.3389/feart.2021.700249
- Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions R. Maity et al. 10.1175/JHM-D-18-0126.1
- Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China J. Lian et al. 10.5194/hess-17-679-2013
- A joint-probabilistic programming method for water resources optimal allocation under uncertainty: a case study in the Beiyun River, China X. Gao et al. 10.2166/hydro.2017.032
- Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China X. Min et al. 10.3389/feart.2020.00146
- Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields S. Vogl et al. 10.5194/hess-16-2311-2012
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
15 citations as recorded by crossref.
- Spatially-explicit sensitivity analysis for land suitability evaluation E. Xu & H. Zhang 10.1016/j.apgeog.2013.08.005
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data G. Mao et al. 10.5194/hess-19-1787-2015
- Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. 10.3390/atmos10030150
- Causal Reasoning: Towards Dynamic Predictive Models for Runoff Temporal Behavior of High Dependence Rivers J. Molina et al. 10.3390/w11050877
- Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction N. Verhoest et al. 10.1109/TGRS.2014.2378913
- Capitalizing on a wealth of spatial information: Improving biogeographic regionalization through the use of spatial clustering P. Gao & J. Kupfer 10.1016/j.apgeog.2018.08.002
- A High-Resolution Regional Climate Model Physics Ensemble for Northern Sub-Saharan Africa P. Laux et al. 10.3389/feart.2021.700249
- Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions R. Maity et al. 10.1175/JHM-D-18-0126.1
- Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China J. Lian et al. 10.5194/hess-17-679-2013
- A joint-probabilistic programming method for water resources optimal allocation under uncertainty: a case study in the Beiyun River, China X. Gao et al. 10.2166/hydro.2017.032
- Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China X. Min et al. 10.3389/feart.2020.00146
- Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields S. Vogl et al. 10.5194/hess-16-2311-2012
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
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