Contributions of Atmospheric Ridging and Low Soil Moisture to the Record‐Breaking June 2023 Mexico‐Texas Heatwave

Abstract June 2023 witnessed the hottest, largest, and longest‐lasting heatwave across Mexico and Texas between 1940 and 2023. We apply constructed analogs with multiple linear regression models to quantify the contribution of different drivers to daily temperature anomalies during this heatwave. On the hottest day (20 June), circulation, soil moisture, and their interaction explained 3.82°C (90% CI: 2.72–4.91°C) of the 5.42°C observed anomaly with most of the residual attributed to the thermodynamic effects of long‐term warming. Using CESM2‐LENS2, we find that June 2023‐like patterns are not projected to increase in frequency but will become 1.9°C hotter by the mid‐21st century under SSP3‐7.0. The hottest simulated day with these patterns could produce temperatures >50°C (122°F) across south Texas, representing a low‐likelihood yet physically plausible worst‐case scenario that could inform disaster preparedness and adaptation planning.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-02-27
DOI
https://doi.org/10.1029/2025gl114987
Citations
2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
2.60

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article

Contributions of Atmospheric Ridging and Low Soil Moisture to the Record‐Breaking June 2023 Mexico‐Texas Heatwave

Dmitri Kalashnikov, Mingfang Ting, Deepti Singh, Benjamin I. Cook
2 citations
Geophysical Research Letters
Meteorological Phenomena and Simulations
2.60
article

Contributions of Atmospheric Ridging and Low Soil Moisture to the Record‐Breaking June 2023 Mexico‐Texas Heatwave

Dmitri Kalashnikov, Mingfang Ting, Deepti Singh, Benjamin I. Cook
article en
2 citations

Abstract

Abstract June 2023 witnessed the hottest, largest, and longest‐lasting heatwave across Mexico and Texas between 1940 and 2023. We apply constructed analogs with multiple linear regression models to quantify the contribution of different drivers to daily temperature anomalies during this heatwave. On the hottest day (20 June), circulation, soil moisture, and their interaction explained 3.82°C (90% CI: 2.72–4.91°C) of the 5.42°C observed anomaly with most of the residual attributed to the thermodynamic effects of long‐term warming. Using CESM2‐LENS2, we find that June 2023‐like patterns are not projected to increase in frequency but will become 1.9°C hotter by the mid‐21st century under SSP3‐7.0. The hottest simulated day with these patterns could produce temperatures >50°C (122°F) across south Texas, representing a low‐likelihood yet physically plausible worst‐case scenario that could inform disaster preparedness and adaptation planning.

Geophysical Research LettersVol. 52(5)
Goddard Institute for Space Studies (US), Washington State University Vancouver (US), Lamont-Doherty Earth Observatory (US), University of California, Merced (US), Columbia University (US)
National Science Foundation, National Aeronautics and Space Administration
Openalex Percentile: Top 13%
Meteorological Phenomena and Simulations
2.60
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