The Meteorology of the January 2025 Los Angeles Wildfires.
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| Title: | The Meteorology of the January 2025 Los Angeles Wildfires. |
|---|---|
| Authors: | Mass, Clifford1 (AUTHOR) cmass@uw.edu, Ovens, David (AUTHOR), Fovell, Robert G.2 (AUTHOR), Baars, Jeff (AUTHOR), Gilbert, Nathan (AUTHOR) |
| Source: | Weather & Forecasting. Apr2026, Vol. 41 Issue 4, p1-21. 21p. |
| Subjects: | Wildfires, Windstorms, Wind forecasting, Synoptic meteorology, Meteorology, Mountain wave, Wildfire risk |
| Geographic Terms: | Pacific Coast (U.S.), Los Angeles (Calif.), San Gabriel Mountains (Calif.) |
| Abstract: | This paper describes the synoptic and mesoscale meteorology associated with the strong Santa Ana event of January 7-12, 2025, which resulted in a catastrophic wildfire with over $150 billion in economic loss and 31 deaths. Strong northerly and northeasterly low-level winds, reaching record levels at some locations, resulted from an unusually intense mid-tropospheric low to the south of the Los Angeles basin. With higher pressure/heights over the northeast Pacific, strong crest-level flow developed over the Southern California Transverse Ranges, with intense downslope flow on the southern, lee slopes. High-resolution model simulations produced a highly realistic wind evolution over the region. The strongest winds, some exceeding 80 kt, occurred on the southwestern slopes of the San Gabriel Mountains and were associated with high-amplitude mountain wave activity. The predictability of the event was high, with substantial skill within three days of the start of the strong, dry winds. The prior autumn and early winter months were the driest on record in the region, ensuring surface fuels would be dry and flammable. Furthermore, the two previous winter seasons were considerably wetter than normal, producing large fuel loads. [ABSTRACT FROM AUTHOR] |
| Copyright of Weather & Forecasting is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193865885 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Meteorology of the January 2025 Los Angeles Wildfires. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mass%2C+Clifford%22">Mass, Clifford</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cmass@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Ovens%2C+David%22">Ovens, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fovell%2C+Robert+G%2E%22">Fovell, Robert G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baars%2C+Jeff%22">Baars, Jeff</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gilbert%2C+Nathan%22">Gilbert, Nathan</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Weather+%26+Forecasting%22">Weather & Forecasting</searchLink>. Apr2026, Vol. 41 Issue 4, p1-21. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wildfires%22">Wildfires</searchLink><br /><searchLink fieldCode="DE" term="%22Windstorms%22">Windstorms</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+forecasting%22">Wind forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Synoptic+meteorology%22">Synoptic meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorology%22">Meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Mountain+wave%22">Mountain wave</searchLink><br /><searchLink fieldCode="DE" term="%22Wildfire+risk%22">Wildfire risk</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Pacific+Coast+%28U%2ES%2E%29%22">Pacific Coast (U.S.)</searchLink><br /><searchLink fieldCode="DE" term="%22Los+Angeles+%28Calif%2E%29%22">Los Angeles (Calif.)</searchLink><br /><searchLink fieldCode="DE" term="%22San+Gabriel+Mountains+%28Calif%2E%29%22">San Gabriel Mountains (Calif.)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper describes the synoptic and mesoscale meteorology associated with the strong Santa Ana event of January 7-12, 2025, which resulted in a catastrophic wildfire with over $150 billion in economic loss and 31 deaths. Strong northerly and northeasterly low-level winds, reaching record levels at some locations, resulted from an unusually intense mid-tropospheric low to the south of the Los Angeles basin. With higher pressure/heights over the northeast Pacific, strong crest-level flow developed over the Southern California Transverse Ranges, with intense downslope flow on the southern, lee slopes. High-resolution model simulations produced a highly realistic wind evolution over the region. The strongest winds, some exceeding 80 kt, occurred on the southwestern slopes of the San Gabriel Mountains and were associated with high-amplitude mountain wave activity. The predictability of the event was high, with substantial skill within three days of the start of the strong, dry winds. The prior autumn and early winter months were the driest on record in the region, ensuring surface fuels would be dry and flammable. Furthermore, the two previous winter seasons were considerably wetter than normal, producing large fuel loads. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Weather & Forecasting is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193865885 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/WAF-D-25-0164.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Wildfires Type: general – SubjectFull: Windstorms Type: general – SubjectFull: Wind forecasting Type: general – SubjectFull: Synoptic meteorology Type: general – SubjectFull: Meteorology Type: general – SubjectFull: Mountain wave Type: general – SubjectFull: Wildfire risk Type: general – SubjectFull: Pacific Coast (U.S.) Type: general – SubjectFull: Los Angeles (Calif.) Type: general – SubjectFull: San Gabriel Mountains (Calif.) Type: general Titles: – TitleFull: The Meteorology of the January 2025 Los Angeles Wildfires. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mass, Clifford – PersonEntity: Name: NameFull: Ovens, David – PersonEntity: Name: NameFull: Fovell, Robert G. – PersonEntity: Name: NameFull: Baars, Jeff – PersonEntity: Name: NameFull: Gilbert, Nathan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08828156 Numbering: – Type: volume Value: 41 – Type: issue Value: 4 Titles: – TitleFull: Weather & Forecasting Type: main |
| ResultId | 1 |