Articles | Volume 19, issue 5
https://doi.org/10.5194/hess-19-2163-2015
© Author(s) 2015. 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-19-2163-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 May 2015
Research article |
| 06 May 2015
Implementation and validation of a Wilks-type multi-site daily precipitation generator over a typical Alpine river catchment
D. E. Keller
CORRESPONDING AUTHOR
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, 8085 Zurich-Airport, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
A. M. Fischer
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, 8085 Zurich-Airport, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, 8085 Zurich-Airport, Switzerland
M. A. Liniger
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, 8085 Zurich-Airport, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
C. Appenzeller
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, 8085 Zurich-Airport, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
R. Knutti
Institute for Atmospheric and Climate Science, ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
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Cited
24 citations as recorded by crossref.
- Improving multisite precipitation generators based on generalised linear models J. Wessel & R. Chandler https://doi.org/10.5194/ascmo-12-149-2026
- A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate D. Kim et al. https://doi.org/10.1016/j.agwat.2018.10.040
- Comparison of scenario‐neutral approaches for estimation of climate change impacts on flood characteristics L. Keller et al. https://doi.org/10.1002/hyp.13341
- Revealing the impacts of climate change on mountainous catchments through high-resolution modelling J. Moraga et al. https://doi.org/10.1016/j.jhydrol.2021.126806
- Multisite Weather Generators Using Bayesian Networks: An Illustrative Case Study for Precipitation Occurrence M. Legasa & J. Gutiérrez https://doi.org/10.1029/2019WR026416
- Development and hydrometeorological evaluation of a new stochastic daily rainfall model: Coupling Markov chain with rainfall event model C. Gao et al. https://doi.org/10.1016/j.jhydrol.2020.125337
- Testing a weather generator for downscaling climate change projections over Switzerland D. Keller et al. https://doi.org/10.1002/joc.4750
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. https://doi.org/10.1007/s00477-024-02843-8
- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment J. Gutiérrez et al. https://doi.org/10.1002/joc.5462
- Coupled annual and daily multivariate and multisite stochastic weather generator to preserve low- and high-frequency variability to assess climate vulnerability K. Ahn https://doi.org/10.1016/j.jhydrol.2019.124443
- A Continuous Multisite Multivariate Generator for Daily Temperature Conditioned by Precipitation Occurrence J. Hernández-Bedolla et al. https://doi.org/10.3390/w14213494
- Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment M. Widmann et al. https://doi.org/10.1002/joc.6024
- The VALUE perfect predictor experiment: Evaluation of temporal variability D. Maraun et al. https://doi.org/10.1002/joc.5222
- A climate stress testing method for changes in spatially variable rainfall D. McInerney et al. https://doi.org/10.1016/j.jhydrol.2023.129876
- Exploring stochastic climate uncertainty in space and time using a gridded hourly weather generator N. Peleg et al. https://doi.org/10.1016/j.jhydrol.2019.02.010
- Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region S. Hellassa & D. Souag-Gamane https://doi.org/10.1007/s12517-018-4168-0
- Evaluating the added value of the new Swiss climate scenarios for hydrology: An example from the Thur catchment O. Rössler et al. https://doi.org/10.1016/j.cliser.2019.01.001
- Parametric gridded weather generator for use in present and future climates: focus on spatial temperature characteristics M. Dubrovsky et al. https://doi.org/10.1007/s00704-019-03027-z
- Comprehensive evaluation of an improved large‐scale multi‐site weather generator for Germany V. Nguyen et al. https://doi.org/10.1002/joc.7107
- A gridded multi-site precipitation generator for complex terrain: an evaluation in the Austrian Alps H. Dabhi et al. https://doi.org/10.5194/hess-27-2123-2023
- A probabilistic assessment of agricultural water scarcity in a semi-arid and snowmelt-dominated river basin under climate change H. Moursi et al. https://doi.org/10.1016/j.agwat.2017.08.010
- Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa G. Nikulin et al. https://doi.org/10.1016/j.cliser.2017.11.003
- Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin N. Peleg et al. https://doi.org/10.1002/joc.6578
- Stochastic generation of multi-site daily precipitation focusing on extreme events G. Evin et al. https://doi.org/10.5194/hess-22-655-2018
24 citations as recorded by crossref.
- Improving multisite precipitation generators based on generalised linear models J. Wessel & R. Chandler https://doi.org/10.5194/ascmo-12-149-2026
- A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate D. Kim et al. https://doi.org/10.1016/j.agwat.2018.10.040
- Comparison of scenario‐neutral approaches for estimation of climate change impacts on flood characteristics L. Keller et al. https://doi.org/10.1002/hyp.13341
- Revealing the impacts of climate change on mountainous catchments through high-resolution modelling J. Moraga et al. https://doi.org/10.1016/j.jhydrol.2021.126806
- Multisite Weather Generators Using Bayesian Networks: An Illustrative Case Study for Precipitation Occurrence M. Legasa & J. Gutiérrez https://doi.org/10.1029/2019WR026416
- Development and hydrometeorological evaluation of a new stochastic daily rainfall model: Coupling Markov chain with rainfall event model C. Gao et al. https://doi.org/10.1016/j.jhydrol.2020.125337
- Testing a weather generator for downscaling climate change projections over Switzerland D. Keller et al. https://doi.org/10.1002/joc.4750
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. https://doi.org/10.1007/s00477-024-02843-8
- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment J. Gutiérrez et al. https://doi.org/10.1002/joc.5462
- Coupled annual and daily multivariate and multisite stochastic weather generator to preserve low- and high-frequency variability to assess climate vulnerability K. Ahn https://doi.org/10.1016/j.jhydrol.2019.124443
- A Continuous Multisite Multivariate Generator for Daily Temperature Conditioned by Precipitation Occurrence J. Hernández-Bedolla et al. https://doi.org/10.3390/w14213494
- Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment M. Widmann et al. https://doi.org/10.1002/joc.6024
- The VALUE perfect predictor experiment: Evaluation of temporal variability D. Maraun et al. https://doi.org/10.1002/joc.5222
- A climate stress testing method for changes in spatially variable rainfall D. McInerney et al. https://doi.org/10.1016/j.jhydrol.2023.129876
- Exploring stochastic climate uncertainty in space and time using a gridded hourly weather generator N. Peleg et al. https://doi.org/10.1016/j.jhydrol.2019.02.010
- Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region S. Hellassa & D. Souag-Gamane https://doi.org/10.1007/s12517-018-4168-0
- Evaluating the added value of the new Swiss climate scenarios for hydrology: An example from the Thur catchment O. Rössler et al. https://doi.org/10.1016/j.cliser.2019.01.001
- Parametric gridded weather generator for use in present and future climates: focus on spatial temperature characteristics M. Dubrovsky et al. https://doi.org/10.1007/s00704-019-03027-z
- Comprehensive evaluation of an improved large‐scale multi‐site weather generator for Germany V. Nguyen et al. https://doi.org/10.1002/joc.7107
- A gridded multi-site precipitation generator for complex terrain: an evaluation in the Austrian Alps H. Dabhi et al. https://doi.org/10.5194/hess-27-2123-2023
- A probabilistic assessment of agricultural water scarcity in a semi-arid and snowmelt-dominated river basin under climate change H. Moursi et al. https://doi.org/10.1016/j.agwat.2017.08.010
- Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa G. Nikulin et al. https://doi.org/10.1016/j.cliser.2017.11.003
- Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin N. Peleg et al. https://doi.org/10.1002/joc.6578
- Stochastic generation of multi-site daily precipitation focusing on extreme events G. Evin et al. https://doi.org/10.5194/hess-22-655-2018
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