TY - JOUR
T1 - Nonstationary weather and water extremes
T2 - a review of methods for their detection, attribution, and management
AU - Slater, Louise J.
AU - Anderson, Bailey
AU - Buechel, Marcus
AU - Dadson, Simon
AU - Han, Shasha
AU - Harrigan, Shaun
AU - Kelder, Timo
AU - Kowal, Katie
AU - Lees, Thomas
AU - Matthews, Tom
AU - Murphy, Conor
AU - Wilby, Robert L.
PY - 2021/7/7
Y1 - 2021/7/7
N2 - Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or storms have devastating effects each year. One of the key challenges for society is understanding how these extremes are evolving and likely to unfold beyond their historical distributions under the influence of multiple drivers such as changes in climate, land cover, and other human factors. Methods for analysing hydroclimatic extremes have advanced considerably in recent decades. Here we provide a review of the drivers, metrics, and methods for the detection, attribution, management, and projection of nonstationary hydroclimatic extremes. We discuss issues and uncertainty associated with these approaches (e.g. arising from insufficient record length, spurious nonstationarities, or incomplete representation of nonstationary sources in modelling frameworks), examine empirical and simulation-based frameworks for analysis of nonstationary extremes, and identify gaps for future research.
AB - Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or storms have devastating effects each year. One of the key challenges for society is understanding how these extremes are evolving and likely to unfold beyond their historical distributions under the influence of multiple drivers such as changes in climate, land cover, and other human factors. Methods for analysing hydroclimatic extremes have advanced considerably in recent decades. Here we provide a review of the drivers, metrics, and methods for the detection, attribution, management, and projection of nonstationary hydroclimatic extremes. We discuss issues and uncertainty associated with these approaches (e.g. arising from insufficient record length, spurious nonstationarities, or incomplete representation of nonstationary sources in modelling frameworks), examine empirical and simulation-based frameworks for analysis of nonstationary extremes, and identify gaps for future research.
U2 - 10.5194/hess-25-3897-2021
DO - 10.5194/hess-25-3897-2021
M3 - Review article
SN - 1027-5606
VL - 25
SP - 3897
EP - 3935
JO - Hydrology and Earth System Sciences
JF - Hydrology and Earth System Sciences
IS - 7
ER -