Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 3897–3935, 2021
https://doi.org/10.5194/hess-25-3897-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 25, 3897–3935, 2021
https://doi.org/10.5194/hess-25-3897-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| Highlight paper
07 Jul 2021
Review article
| Highlight paper
| 07 Jul 2021
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Louise J. Slater et al.
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Cited
17 citations as recorded by crossref.
- Long‐term trends in extreme precipitation indices in Ireland C. Ryan et al. 10.1002/joc.7475
- Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States I. Dollan et al. 10.3389/fclim.2021.799055
- On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport 10.1088/1748-9326/ac2f1a
- Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
- The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates M. Wang et al. 10.1007/s11269-022-03088-2
- Climate risk-informed decision analysis (CRIDA): ‘top-down’ vs ‘bottom-up’ decision making for planning water resources infrastructure J. Manous & E. Stakhiv 10.2166/wp.2021.243
- Cumulative forest disturbances decrease runoff in two boreal forested watersheds of the northern interior of British Columbia, Canada Y. Hou et al. 10.1016/j.jhydrol.2021.127362
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
- Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
- Special Issue for UN HELP: ‘Water infrastructure planning, management and design under climate uncertainty’ E. Stakhiv & K. Hiroki 10.2166/wp.2021.268
- Greedy copula segmentation of multivariate non-stationary time series for climate change adaptation T. Heo & L. Manuel 10.1016/j.pdisas.2022.100221
- Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
- Enhanced profile likelihood method for the nonstationary hydrological frequency analysis C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104151
- An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
- Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States J. Hecht et al. 10.1016/j.hydroa.2021.100115
- Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
14 citations as recorded by crossref.
- Long‐term trends in extreme precipitation indices in Ireland C. Ryan et al. 10.1002/joc.7475
- Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States I. Dollan et al. 10.3389/fclim.2021.799055
- On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport 10.1088/1748-9326/ac2f1a
- Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
- The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates M. Wang et al. 10.1007/s11269-022-03088-2
- Climate risk-informed decision analysis (CRIDA): ‘top-down’ vs ‘bottom-up’ decision making for planning water resources infrastructure J. Manous & E. Stakhiv 10.2166/wp.2021.243
- Cumulative forest disturbances decrease runoff in two boreal forested watersheds of the northern interior of British Columbia, Canada Y. Hou et al. 10.1016/j.jhydrol.2021.127362
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
- Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
- Special Issue for UN HELP: ‘Water infrastructure planning, management and design under climate uncertainty’ E. Stakhiv & K. Hiroki 10.2166/wp.2021.268
- Greedy copula segmentation of multivariate non-stationary time series for climate change adaptation T. Heo & L. Manuel 10.1016/j.pdisas.2022.100221
- Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
- Enhanced profile likelihood method for the nonstationary hydrological frequency analysis C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104151
3 citations as recorded by crossref.
- An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
- Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States J. Hecht et al. 10.1016/j.hydroa.2021.100115
- Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
Discussed (final revised paper)
Latest update: 07 Aug 2022
Short summary
Weather and water extremes have devastating effects each year. One of the principal challenges for society is understanding how extremes are likely to evolve under the influence of changes in climate, land cover, and other human impacts. This paper provides a review of the methods and challenges associated with the detection, attribution, management, and projection of nonstationary weather and water extremes.
Weather and water extremes have devastating effects each year. One of the principal challenges...
