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A large ensemble illustration of how record-shattering heat records can endure

Environmental Studies and Forestry

A large ensemble illustration of how record-shattering heat records can endure

J. S. Risbey, D. B. Irving, et al.

This innovative study by James S Risbey and colleagues dives into record-breaking temperature extremes, revealing the surprising rarity of such days and the essential role of extensive climate models in understanding these phenomena. Join us as we explore the intricate connections between chance weather patterns and extreme heat events!

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Playback language: English
Abstract
This study investigates record-shattering temperature extremes using a very large hindcast ensemble, motivated by the record-breaking heat in the Pacific Northwest in June 2021. The hottest days in the ensemble show similar large-scale and synoptic patterns to the observed event. However, these extreme days are acutely sensitive to chance weather patterns, making them rare and requiring extensive samples (tens of thousands of years) to capture their frequency accurately. The persistence of such records is due to the low probability of repeating the optimal weather alignment, even with warming trends. Climate models may not capture such extremes unless their sample sizes are sufficiently large, highlighting the importance of considering sampling effects when assessing models and changes in weather-sensitive extremes.
Publisher
Environmental Research: Climate
Published On
Jun 02, 2023
Authors
James S Risbey, Damien B Irving, Dougal T Squire, Richard J Matear, Didier P Monselesan, Michael J Pook, Nandini Ramesh, Doug Richardson, Carly R Tozer
Tags
temperature extremes
climate models
Pacific Northwest
weather patterns
hindcast ensemble
sampling effects
record heat
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