4.7 Editorial Material

Hydrological Shifts Threaten Water Resources

Journal

WATER RESOURCES RESEARCH
Volume 58, Issue 8, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021WR031210

Keywords

water resources; climate change; hydrological shifts; rainfall runoff models

Funding

  1. Australian Research Council (ARC) [LP170100598]
  2. ARC [DE180100550, LP180100796]
  3. Department of Environment, Land, Water and Planning of the State of Victoria, Australia
  4. University of Melbourne's Research Computing Services and the Petascale Campus Initiative
  5. Australian Research Council [DE180100550, LP180100796] Funding Source: Australian Research Council

Ask authors/readers for more resources

Recent changes in the hydrological behavior of natural watersheds pose challenges for water planning under climate change. Future droughts may induce unexpected hydrological responses, and commonly used hydrological models cannot accurately represent these shifts in behavior. It is now necessary for hydrologists to determine the underlying causes of shifting behavior and incorporate more dynamic realism into operational models.
Recent shifts in the hydrological behavior of natural watersheds suggest acute challenges for water planning under climate change. Usually triggered by a multi-year drought, these shifts involve a tendency for less annual streamflow for a given annual precipitation, and this behavior has now been reported on multiple continents. Future drying under climate change may induce similar unexpected hydrological responses, and this commentary discusses the implications for water planning and management. Commonly used hydrological models poorly represent these shifts in behavior and cannot be relied upon to anticipate future changes. Thus, their use may result in underestimation of hydroclimatic risk and exposure to surprise reductions in water supply, relative to projections. The onus is now on hydrologists to determine the underlying causes of shifting behavior and incorporate more dynamic realism into operational models.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available