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Type: Journal Article
Author(s): Hien X. Bui; Axel Timmermann; June-Yi Lee; Eric D. Maloney; Yi-Xian Li; Ji-Eun Kim; Jacquelyn Kremper Shuman; Sun-Seon Lee; William R. Wieder
Publication Date: 2022

Midlatitude stationary waves are relatively persistent large-scale longitudinal variations in atmospheric circulation. Although recent case studies have suggested a close connection between stationary waves and extreme weather events, little is known about the global-scale linkage between stationary waves and wildfire activity, as well as the potential changes in this relationship in a warmer climate. Here, by analysing the Community Earth System Model version 2 large ensemble, we show that a zonal wavenumber 5-6 stationary wave pattern tends to synchronize wildfire occurrences across the Northern Hemisphere midlatitudes. The alternation of upper-troposphere ridges and troughs creates a hemispheric-scale spatial pattern of alternating hot/dry and cold/wet conditions, which increases or decreases wildfire occurrence, respectively. More persistent high-pressure conditions drastically increase wildfire probabilities. Even though the dynamics of these waves change little in response to anthropogenic global warming, the corresponding midlatitude wildfire variability is projected to intensify due to changes in climate background conditions.

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Citation: Bui, Hien X.; Timmermann, Axel; Lee, June-Yi; Maloney, Eric D.; Li, Yi-Xian; Kim, Ji-Eun; Shuman, Jacquelyn; Lee, Sun-Seon; Wieder, William R. 2022. Summer midlatitude stationary wave patterns synchronize Northern Hemisphere wildfire occurrence. Geophysical Research Letters 49(18):e2022GL099017.

Cataloging Information

Topics:
Climate    Fire Occurrence    Models    Weather
Regions:
Alaska    California    Eastern    Great Basin    Hawaii    Northern Rockies    Northwest    Rocky Mountain    Southern    Southwest    International    National
Keywords:
  • atmospheric circulation
  • Community Earth System Model
  • fire activity
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 66604