Articles | Volume 14, issue 6
https://doi.org/10.5194/nhess-14-1579-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-1579-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jun 2014
Research article |
| 23 Jun 2014
Projecting flood hazard under climate change: an alternative approach to model chains
J. M. Delgado
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
GFZ German Research Centre for Geosciences, Section 5.4, Hydrology, Telegrafenberg, 14473 Potsdam, Germany
GFZ German Research Centre for Geosciences, Section 5.4, Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Viewed
Total article views: 3,503 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Dec 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,823 | 1,547 | 133 | 3,503 | 134 | 119 |
- HTML: 1,823
- PDF: 1,547
- XML: 133
- Total: 3,503
- BibTeX: 134
- EndNote: 119
Total article views: 2,788 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,507 | 1,179 | 102 | 2,788 | 110 | 104 |
- HTML: 1,507
- PDF: 1,179
- XML: 102
- Total: 2,788
- BibTeX: 110
- EndNote: 104
Total article views: 715 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Dec 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 316 | 368 | 31 | 715 | 24 | 15 |
- HTML: 316
- PDF: 368
- XML: 31
- Total: 715
- BibTeX: 24
- EndNote: 15
Cited
32 citations as recorded by crossref.
- Can PDSI inform extreme precipitation?: An exploration with a 500 year long paleoclimate reconstruction over the U.S. S. Steinschneider et al. 10.1002/2016WR018712
- Comparing Flood Projection Approaches Across Hydro‐Climatologically Diverse United States River Basins K. Schlef et al. 10.1029/2019WR025861
- Floods and climate: emerging perspectives for flood risk assessment and management B. Merz et al. 10.5194/nhess-14-1921-2014
- Comparison of time trend- and precipitation-informed models for assessing design discharges in variable climate M. Šraj & N. Bezak 10.1016/j.jhydrol.2020.125374
- A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting R. Majumder & B. Reich 10.1016/j.spasta.2023.100755
- Using Climate-Flood Links and CMIP5 Projections to Assess Flood Design Levels Under Climate Change Scenarios: A Case Study in Southern Brazil A. Silva & M. Portela 10.1007/s11269-018-2058-6
- A new flood type classification method for use in climate change impact studies T. Turkington et al. 10.1016/j.wace.2016.10.001
- Non Stationary Analysis of Extreme Events A. Cancelliere 10.1007/s11269-017-1724-4
- A risk-based analytical framework for quantifying non-stationary flood risks and establishing infrastructure design standards in a changing environment K. Byun & A. Hamlet 10.1016/j.jhydrol.2020.124575
- Identifying drivers of streamflow extremes in West Africa to inform a nonstationary prediction model K. Chun et al. 10.1016/j.wace.2021.100346
- A General Methodology for Climate‐Informed Approaches to Long‐Term Flood Projection—Illustrated With the Ohio River Basin K. Schlef et al. 10.1029/2018WR023209
- Hydroclimatic scenario generation using two-stage stochastic simulation framework C. Awasthi et al. 10.1016/j.advwatres.2024.104739
- Customized sea‐surface temperature indicators linking to streamflow at different timescales A. Ganapathy & A. Agarwal 10.1002/joc.7853
- Governance challenges of flood-prone delta cities: Integrating flood risk management and climate change in spatial planning M. Francesch-Huidobro et al. 10.1016/j.progress.2015.11.001
- Multidecadal variability of the Tonle Sap Lake flood pulse regime A. Chen et al. 10.1002/hyp.14327
- Auswirkungen der Klimaänderung auf Österreichs Wasserwirtschaft – ein aktualisierter Statusbericht G. Blöschl et al. 10.1007/s00506-018-0498-0
- Attribution of regional flood changes based on scaling fingerprints A. Viglione et al. 10.1002/2016WR019036
- Identifying hotspots of hydro-hazards under global change: A worldwide review L. Beevers et al. 10.3389/frwa.2022.879536
- Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. 10.1080/02626667.2017.1353696
- Robust Adaptation to Multiscale Climate Variability J. Doss‐Gollin et al. 10.1029/2019EF001154
- Assessing flood hazard changes using climate model forcing D. Callaghan & M. Hughes 10.5194/nhess-22-2459-2022
- Understanding flood regime changes in Europe: a state-of-the-art assessment J. Hall et al. 10.5194/hess-18-2735-2014
- Design considerations for riverine floods in a changing climate – A review B. François et al. 10.1016/j.jhydrol.2019.04.068
- Hydrological extremes across the Commonwealth of Massachusetts in a changing climate R. Siddique et al. 10.1016/j.ejrh.2020.100733
- Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States A. Luke et al. 10.1002/2016WR019676
- Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima S. Wi et al. 10.1007/s00477-015-1180-8
- Climate influences on flood probabilities across Europe E. Steirou et al. 10.5194/hess-23-1305-2019
- Updating urban design floods for changes in central tendency and variability using regression J. Hecht & R. Vogel 10.1016/j.advwatres.2019.103484
- Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis B. Basu et al. 10.1061/JHYEFF.HEENG-5768
- The influence of non-stationarity in extreme hydrological events on flood frequency estimation M. Šraj et al. 10.1515/johh-2016-0032
- New challenges for adaptive urban governance in highly dynamic environments: Revisiting planning systems and tools for adaptive and strategic planning J. Birkmann et al. 10.1016/j.uclim.2014.01.006
- Climate-related flood risks and urban responses in the Pearl River Delta, China L. Yang et al. 10.1007/s10113-014-0651-7
30 citations as recorded by crossref.
- Can PDSI inform extreme precipitation?: An exploration with a 500 year long paleoclimate reconstruction over the U.S. S. Steinschneider et al. 10.1002/2016WR018712
- Comparing Flood Projection Approaches Across Hydro‐Climatologically Diverse United States River Basins K. Schlef et al. 10.1029/2019WR025861
- Floods and climate: emerging perspectives for flood risk assessment and management B. Merz et al. 10.5194/nhess-14-1921-2014
- Comparison of time trend- and precipitation-informed models for assessing design discharges in variable climate M. Šraj & N. Bezak 10.1016/j.jhydrol.2020.125374
- A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting R. Majumder & B. Reich 10.1016/j.spasta.2023.100755
- Using Climate-Flood Links and CMIP5 Projections to Assess Flood Design Levels Under Climate Change Scenarios: A Case Study in Southern Brazil A. Silva & M. Portela 10.1007/s11269-018-2058-6
- A new flood type classification method for use in climate change impact studies T. Turkington et al. 10.1016/j.wace.2016.10.001
- Non Stationary Analysis of Extreme Events A. Cancelliere 10.1007/s11269-017-1724-4
- A risk-based analytical framework for quantifying non-stationary flood risks and establishing infrastructure design standards in a changing environment K. Byun & A. Hamlet 10.1016/j.jhydrol.2020.124575
- Identifying drivers of streamflow extremes in West Africa to inform a nonstationary prediction model K. Chun et al. 10.1016/j.wace.2021.100346
- A General Methodology for Climate‐Informed Approaches to Long‐Term Flood Projection—Illustrated With the Ohio River Basin K. Schlef et al. 10.1029/2018WR023209
- Hydroclimatic scenario generation using two-stage stochastic simulation framework C. Awasthi et al. 10.1016/j.advwatres.2024.104739
- Customized sea‐surface temperature indicators linking to streamflow at different timescales A. Ganapathy & A. Agarwal 10.1002/joc.7853
- Governance challenges of flood-prone delta cities: Integrating flood risk management and climate change in spatial planning M. Francesch-Huidobro et al. 10.1016/j.progress.2015.11.001
- Multidecadal variability of the Tonle Sap Lake flood pulse regime A. Chen et al. 10.1002/hyp.14327
- Auswirkungen der Klimaänderung auf Österreichs Wasserwirtschaft – ein aktualisierter Statusbericht G. Blöschl et al. 10.1007/s00506-018-0498-0
- Attribution of regional flood changes based on scaling fingerprints A. Viglione et al. 10.1002/2016WR019036
- Identifying hotspots of hydro-hazards under global change: A worldwide review L. Beevers et al. 10.3389/frwa.2022.879536
- Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. 10.1080/02626667.2017.1353696
- Robust Adaptation to Multiscale Climate Variability J. Doss‐Gollin et al. 10.1029/2019EF001154
- Assessing flood hazard changes using climate model forcing D. Callaghan & M. Hughes 10.5194/nhess-22-2459-2022
- Understanding flood regime changes in Europe: a state-of-the-art assessment J. Hall et al. 10.5194/hess-18-2735-2014
- Design considerations for riverine floods in a changing climate – A review B. François et al. 10.1016/j.jhydrol.2019.04.068
- Hydrological extremes across the Commonwealth of Massachusetts in a changing climate R. Siddique et al. 10.1016/j.ejrh.2020.100733
- Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States A. Luke et al. 10.1002/2016WR019676
- Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima S. Wi et al. 10.1007/s00477-015-1180-8
- Climate influences on flood probabilities across Europe E. Steirou et al. 10.5194/hess-23-1305-2019
- Updating urban design floods for changes in central tendency and variability using regression J. Hecht & R. Vogel 10.1016/j.advwatres.2019.103484
- Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis B. Basu et al. 10.1061/JHYEFF.HEENG-5768
- The influence of non-stationarity in extreme hydrological events on flood frequency estimation M. Šraj et al. 10.1515/johh-2016-0032
2 citations as recorded by crossref.
- New challenges for adaptive urban governance in highly dynamic environments: Revisiting planning systems and tools for adaptive and strategic planning J. Birkmann et al. 10.1016/j.uclim.2014.01.006
- Climate-related flood risks and urban responses in the Pearl River Delta, China L. Yang et al. 10.1007/s10113-014-0651-7
Saved (final revised paper)
Latest update: 01 Apr 2025
Altmetrics
Final-revised paper
Preprint