Hydrological Whiplash: Highlighting the Need for Better Understanding and Quantification of Sub-Seasonal Hydrological Extreme Transitions
Correction(s) for this article
-
Correction to “Hydrological Whiplash: Highlighting the Need for Better Understanding and Quantification of Sub-Seasonal Hydrological Extreme Transitions”
- Volume 39Issue 5Hydrological Processes
- First Published online: May 4, 2025
Corresponding Author
John Hammond
U.S. Geological Survey, Maryland-Delaware-D.C. Water Science Center, Baltimore, Maryland, USA
Correspondence:
John Hammond ([email protected])
Search for more papers by this authorBailey Anderson
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorCaelan Simeone
U.S. Geological Survey, Oregon Water Science Center, Portland, OR, USA
Search for more papers by this authorManuela Brunner
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorEduardo Muñoz-Castro
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorStacey Archfield
U.S. Geological Survey, Water Mission Area, Reston, VA, USA
Search for more papers by this authorRachael Armitage
UK Centre for Ecology & Hydrology, Wallingford, UK
Search for more papers by this authorCorresponding Author
John Hammond
U.S. Geological Survey, Maryland-Delaware-D.C. Water Science Center, Baltimore, Maryland, USA
Correspondence:
John Hammond ([email protected])
Search for more papers by this authorBailey Anderson
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorCaelan Simeone
U.S. Geological Survey, Oregon Water Science Center, Portland, OR, USA
Search for more papers by this authorManuela Brunner
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorEduardo Muñoz-Castro
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Search for more papers by this authorStacey Archfield
U.S. Geological Survey, Water Mission Area, Reston, VA, USA
Search for more papers by this authorRachael Armitage
UK Centre for Ecology & Hydrology, Wallingford, UK
Search for more papers by this authorFunding: This work was supported by Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, U.S. Geological Survey, Natural Environment Research Council.
ABSTRACT
In this commentary, we aim to (1) describe ways that hydrological intensification and hydrological whiplash (sub-seasonal transitions between hydrological extremes) may impact water management decision-making, (2) introduce the complexities of identifying and quantifying hydrological extreme transitions, (3) discuss the processes controlling hydrological transitions and trends in hydrological extremes through time, (4) discuss considerations involved in modeling hydrological extreme transitions, and (5) motivate additional research by suggesting priority research questions that diverge from an assumption of independence between extreme events.
Open Research
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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