Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1387-2016
© Author(s) 2016. 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-20-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2016
Research article |
| 08 Apr 2016
Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator
Hjalte Jomo Danielsen Sørup
CORRESPONDING AUTHOR
Urban Water Systems Section, Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
Section for Climate and Arctic, Danish Meteorological Institute, Copenhagen, Denmark
Ole Bøssing Christensen
Section for Climate and Arctic, Danish Meteorological Institute, Copenhagen, Denmark
Karsten Arnbjerg-Nielsen
Urban Water Systems Section, Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
Peter Steen Mikkelsen
Urban Water Systems Section, Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
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Cited
24 citations as recorded by crossref.
- Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes H. Sørup et al. 10.5194/hess-21-345-2017
- Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series S. Thorndahl et al. 10.5194/hess-21-4433-2017
- Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management N. Lund et al. 10.1080/10643389.2018.1455484
- Can antecedent moisture conditions modulate the increase in flood risk due to climate change in urban catchments? S. Hettiarachchi et al. 10.1016/j.jhydrol.2019.01.039
- Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns S. Hettiarachchi et al. 10.5194/hess-22-2041-2018
- Ensemble estimation of future rainfall extremes with temperature dependent censored simulation D. Cross et al. 10.1016/j.advwatres.2019.103479
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
- CLIMACS: A method for stochastic generation of continuous climate projected point rainfall for urban drainage design S. Thorndahl & C. Andersen 10.1016/j.jhydrol.2021.126776
- Transforming Global Climate Model Precipitation Output for Use in Urban Stormwater Applications M. Maimone et al. 10.1061/(ASCE)WR.1943-5452.0001071
- Generating Continuous Rainfall Time Series with High Temporal Resolution by Using a Stochastic Rainfall Generator with a Copula and Modified Huff Rainfall Curves D. Nguyen & S. Chen 10.3390/w14132123
- Weather radar rainfall data in urban hydrology S. Thorndahl et al. 10.5194/hess-21-1359-2017
- Exacerbated heat in large Canadian cities C. Rajulapati et al. 10.1016/j.uclim.2022.101097
- Integrated climate change risk assessment: A practical application for urban flooding during extreme precipitation P. Kaspersen & K. Halsnæs 10.1016/j.cliser.2017.06.012
- Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. 10.1016/j.jhydrol.2022.127915
- Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. 10.5194/hess-21-3859-2017
- DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas M. Singh et al. 10.1007/s43762-023-00096-9
- Evaluating catchment response to artificial rainfall from four weather generators for present and future climate H. Sørup et al. 10.2166/wst.2018.217
- Assessing the impact of climate change on Combined Sewer Overflows based on small time step future rainfall timeseries and long-term continuous sewer network modelling F. Gogien et al. 10.1016/j.watres.2022.119504
- Comparing the Effects of Different Daily and Sub-Daily Downscaling Approaches on the Response of Urban Stormwater Collection Systems S. Arfa et al. 10.1007/s11269-020-02728-9
- A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data R. Dahm et al. 10.3390/w11020313
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. 10.1002/hyp.13273
- Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation G. Mascaro et al. 10.1016/j.advwatres.2023.104451
- Evaluating adaptation options for urban flooding based on new high-end emission scenario regional climate model simulations K. Arnbjerg-Nielsen et al. 10.3354/cr01299
- Assessing the importance of spatio‐temporal RCM resolution when estimating sub‐daily extreme precipitation under current and future climate conditions M. Sunyer et al. 10.1002/joc.4733
22 citations as recorded by crossref.
- Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes H. Sørup et al. 10.5194/hess-21-345-2017
- Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series S. Thorndahl et al. 10.5194/hess-21-4433-2017
- Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management N. Lund et al. 10.1080/10643389.2018.1455484
- Can antecedent moisture conditions modulate the increase in flood risk due to climate change in urban catchments? S. Hettiarachchi et al. 10.1016/j.jhydrol.2019.01.039
- Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns S. Hettiarachchi et al. 10.5194/hess-22-2041-2018
- Ensemble estimation of future rainfall extremes with temperature dependent censored simulation D. Cross et al. 10.1016/j.advwatres.2019.103479
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
- CLIMACS: A method for stochastic generation of continuous climate projected point rainfall for urban drainage design S. Thorndahl & C. Andersen 10.1016/j.jhydrol.2021.126776
- Transforming Global Climate Model Precipitation Output for Use in Urban Stormwater Applications M. Maimone et al. 10.1061/(ASCE)WR.1943-5452.0001071
- Generating Continuous Rainfall Time Series with High Temporal Resolution by Using a Stochastic Rainfall Generator with a Copula and Modified Huff Rainfall Curves D. Nguyen & S. Chen 10.3390/w14132123
- Weather radar rainfall data in urban hydrology S. Thorndahl et al. 10.5194/hess-21-1359-2017
- Exacerbated heat in large Canadian cities C. Rajulapati et al. 10.1016/j.uclim.2022.101097
- Integrated climate change risk assessment: A practical application for urban flooding during extreme precipitation P. Kaspersen & K. Halsnæs 10.1016/j.cliser.2017.06.012
- Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. 10.1016/j.jhydrol.2022.127915
- Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. 10.5194/hess-21-3859-2017
- DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas M. Singh et al. 10.1007/s43762-023-00096-9
- Evaluating catchment response to artificial rainfall from four weather generators for present and future climate H. Sørup et al. 10.2166/wst.2018.217
- Assessing the impact of climate change on Combined Sewer Overflows based on small time step future rainfall timeseries and long-term continuous sewer network modelling F. Gogien et al. 10.1016/j.watres.2022.119504
- Comparing the Effects of Different Daily and Sub-Daily Downscaling Approaches on the Response of Urban Stormwater Collection Systems S. Arfa et al. 10.1007/s11269-020-02728-9
- A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data R. Dahm et al. 10.3390/w11020313
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. 10.1002/hyp.13273
- Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation G. Mascaro et al. 10.1016/j.advwatres.2023.104451
2 citations as recorded by crossref.
- Evaluating adaptation options for urban flooding based on new high-end emission scenario regional climate model simulations K. Arnbjerg-Nielsen et al. 10.3354/cr01299
- Assessing the importance of spatio‐temporal RCM resolution when estimating sub‐daily extreme precipitation under current and future climate conditions M. Sunyer et al. 10.1002/joc.4733
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
Fine-resolution spatio-temporal precipitation data are important as input to urban hydrological models to assess performance issues under all possible conditions. In the present study synthetic data at very fine spatial and temporal resolution are generated using a stochastic model. Data are generated for both present and future climate conditions. The results show that it is possible to generate spatially distributed data at resolutions relevant for urban hydrology.
Fine-resolution spatio-temporal precipitation data are important as input to urban hydrological...
