An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions

Low-likelihood weather events can cause dramatic impacts, especially when they are unprecedented. In 2020, amongst other high-impact weather events, UK floods caused more than £300 million damage, prolonged heat over Siberia led to infrastructure failure and permafrost thawing, while wildfires ravag...

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Bibliographic Details
Main Authors: Timo Kelder, Tim Marjoribanks, LJ Slater, Christel Prudhomme, Robert Wilby, J Wagemann, N Dunstone
Format: Default Article
Published: 2022
Subjects:
Atmospheric sciences not elsewhere classified
climate change
climate model ensemble
climate risk
Copernicus Climate Change Services
seasonal predictions
weather extremes
Atmospheric Sciences
Online Access:https://hdl.handle.net/2134/19713529.v1
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https://hdl.handle.net/2134/19713529.v1

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