Underestimation of Arctic warming trends in sub-seasonal forecasts

Copernicus Publications (2023)

Authors:

Steffen Tietsche, Frederic Vitart, Michael Mayer, Antje Weisheimer, Magdalena Balmaseda

Climate‐change modelling at reduced floating‐point precision with stochastic rounding

Quarterly Journal of the Royal Meteorological Society Wiley 149:752 (2023) 843-855

Authors:

Tom Kimpson, E Adam Paxton, Matthew Chantry, Tim Palmer

RMetS Climate Change Forum 2022: a vision for 2050 and implications for action

Weather Wiley 78:4 (2023) 117-119

Authors:

Matthew Wright, Daniel Skinner, Hannah Bloomfield, Hannah Mallinson

Sub-seasonal to decadal predictions in support of climate services

Climate Services Elsevier 30 (2023) 100397

Authors:

Marisol Osman, Daniela IV Domeisen, Andrew W Robertson, Antje Weisheimer

The most at-risk regions in the world for high-impact heatwaves.

Nature communications 14:1 (2023) 2152

Authors:

Vikki Thompson, Dann Mitchell, Gabriele C Hegerl, Matthew Collins, Nicholas J Leach, Julia M Slingo

Abstract:

Heatwaves are becoming more frequent under climate change and can lead to thousands of excess deaths. Adaptation to extreme weather events often occurs in response to an event, with communities learning fast following unexpectedly impactful events. Using extreme value statistics, here we show where regional temperature records are statistically likely to be exceeded, and therefore communities might be more at-risk. In 31% of regions examined, the observed daily maximum temperature record is exceptional. Climate models suggest that similar behaviour can occur in any region. In some regions, such as Afghanistan and parts of Central America, this is a particular problem - not only have they the potential for far more extreme heatwaves than experienced, but their population is growing and increasingly exposed because of limited healthcare and energy resources. We urge policy makers in vulnerable regions to consider if heat action plans are sufficient for what might come.