Remote forcing and prediction of the June 2023 Texas heatwave
| dc.contributor.author | Lim, Young-Kwon | |
| dc.contributor.author | DeAngelis, Anthony M. | |
| dc.contributor.author | Thomas, Natalie | |
| dc.contributor.author | Schubert, Siegfried D. | |
| dc.contributor.author | Chang, Yehui | |
| dc.contributor.author | Collow, Allison | |
| dc.contributor.author | Dezfuli, Amin | |
| dc.date.accessioned | 2025-10-22T19:58:17Z | |
| dc.date.issued | 2025-09-08 | |
| dc.description.abstract | Rossby waves originating in the Pacific often extend across North America, influencing weather and climate events. Such was the case for the June 2023 Texas heatwave (THW) – the deadliest heatwave in the region in the past 35 years. The focus of this study is on identifying the remote forcings of that wave, using the NASA’s Goddard Earth Observing Systen (GEOS) model and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data. The results reveal a strong heating-induced circulation response to the northwest of a tropical Pacific heat source, along with significant vorticity transients over the extra-tropical Pacific. The Rossby wave generated by these sources propagated across the North Pacific and western North America, leading to above-average geopotential height and temperatures that persisted over Texas. GEOS model experiments in which the model is constrained to reproduce MERRA-2 over the tropics, and stationary wave model simulations, confirm that the tropical Pacific heat source is crucial, while transient vorticity sources in the extra-tropical Pacific also contribute to the development of the large-scale wave that impacted Texas. The ability to predict the THW is assessed using NASA’s subseasonal to seasonal forecast model. The model predicts anomalous warmth for the heatwave period in Texas up to three weeks ahead, and seasonal warmth in Summer 2023 up to three month ahead. Additional analysis for July and August also shows an important role of Rossby waves in driving THWs and the model’s ability to predict them up to three weeks ahead. | |
| dc.description.sponsorship | This study was supported by the NASA Modeling Analysis and Prediction (MAP) program (80NSSC21K1729) and the National Climate Assessment Enabling Tools project at NASA’s Global Modealing and Assimilation Office (GMAO). MERRA-2 data were developed by the NASA GMAO at the Goddard Space Flight Center (GSFC) under funding by the NASA MAP program. Computational resources for this work were supplied by the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at the GSFC. | |
| dc.description.uri | https://journals.ametsoc.org/view/journals/clim/aop/JCLI-D-25-0018.1/JCLI-D-25-0018.1.xml | |
| dc.format.extent | 38 pages | |
| dc.genre | journal articles | |
| dc.identifier | doi:10.13016/m26o61-l3ky | |
| dc.identifier.citation | Lim, Young-Kwon, Anthony M. DeAngelis, Natalie P. Thomas, et al. “Remote Forcing and Prediction of the June 2023 Texas Heat Wave.” Journal of Climate. Journal of Climate 38, no. 21 (2025). https://doi.org/10.1175/JCLI-D-25-0018.1. | |
| dc.identifier.uri | https://doi.org/10.1175/JCLI-D-25-0018.1 | |
| dc.identifier.uri | http://hdl.handle.net/11603/40566 | |
| dc.language.iso | en | |
| dc.publisher | AMS | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC GESTAR II | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | © Copyright 2025-09-08 American Meteorological Society (AMS). For permission to reuse any portion of this work, please contact permissions@ametsoc.org. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act (17 U.S. Code §?107) or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC § 108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (https://www.copyright.com). Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (https://www.ametsoc.org/PUBSCopyrightPolicy) | |
| dc.title | Remote forcing and prediction of the June 2023 Texas heatwave | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-6433-7257 | |
| dcterms.creator | https://orcid.org/0000-0002-3566-3889 | |
| dcterms.creator | https://orcid.org/0000-0003-3274-8542 |
