The West Pacific Teleconnection Drives the Interannual Variability of Autumn Wildfire Weather in the Western United States After 2000 Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1029/2024ef004922
Wildfires pose a significant threat to human society as severe natural disasters. The western United States (US) is one hotspot that has experienced dramatic influences from autumn wildfires especially after 2000, but what has caused its year‐to‐year variations remains poorly understood. By analyzing observational and atmospheric reanalysis datasets, we found that the West Pacific (WP) pattern centered in the western North Pacific acted as a major climatic factor to the post‐2000 autumn wildfire activity by inducing anomalous high pressure over the western US via teleconnections with increased surface temperature, decreased precipitation, and reduced relative humidity. The WP pattern explains about one‐third of the post‐2000 years‐to‐year variance of the western US autumn wildfires. These effects were found to be much weaker in the 1980–1990s, as the active region of WP‐associated high pressure was confined to the eastern North Pacific. Such eastward shift of the WP teleconnection pattern and its resultant, enhanced influence on the weather conditions of western US autumn wildfire after 2000 are also captured by the sea surface temperature (SST)‐forced atmospheric model simulations with the Community Atmosphere Model version 6 (CAM6). The CAM6 ensemble‐mean changes in the WP teleconnection pattern at 2000 is about half of the observed changes, which implies that external radiative forcing and/or SST changes have played an important role in the WP pattern shift. Our results highlight a pressing need to consider the joint impacts of atmospheric internal variability and externally forced climate changes when studying the interannual variations of wildfire activity.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2024ef004922
- OA Status
- gold
- Cited By
- 3
- References
- 53
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404435167Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1029/2024ef004922Digital Object Identifier
- Title
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The West Pacific Teleconnection Drives the Interannual Variability of Autumn Wildfire Weather in the Western United States After 2000Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-01Full publication date if available
- Authors
-
Shizuo Liu, Shineng Hu, Richard SeagerList of authors in order
- Landing page
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https://doi.org/10.1029/2024ef004922Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1029/2024ef004922Direct OA link when available
- Concepts
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Teleconnection, Climatology, Environmental science, Oceanography, El Niño Southern Oscillation, GeologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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53Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.CAM6 | 184 |
| abstract_inverted_index.Such | 139 |
| abstract_inverted_index.West | 53 |
| abstract_inverted_index.also | 164 |
| abstract_inverted_index.from | 26 |
| abstract_inverted_index.half | 196 |
| abstract_inverted_index.have | 210 |
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| abstract_inverted_index.much | 119 |
| abstract_inverted_index.need | 225 |
| abstract_inverted_index.over | 80 |
| abstract_inverted_index.pose | 2 |
| abstract_inverted_index.role | 214 |
| abstract_inverted_index.that | 21, 51, 203 |
| abstract_inverted_index.were | 115 |
| abstract_inverted_index.what | 33 |
| abstract_inverted_index.when | 240 |
| abstract_inverted_index.with | 86, 175 |
| abstract_inverted_index.2000, | 31 |
| abstract_inverted_index.Model | 179 |
| abstract_inverted_index.North | 61, 137 |
| abstract_inverted_index.These | 113 |
| abstract_inverted_index.about | 100, 195 |
| abstract_inverted_index.acted | 63 |
| abstract_inverted_index.after | 30, 161 |
| abstract_inverted_index.found | 50, 116 |
| abstract_inverted_index.human | 7 |
| abstract_inverted_index.joint | 229 |
| abstract_inverted_index.major | 66 |
| abstract_inverted_index.model | 173 |
| abstract_inverted_index.shift | 141 |
| abstract_inverted_index.which | 201 |
| abstract_inverted_index.States | 16 |
| abstract_inverted_index.United | 15 |
| abstract_inverted_index.active | 126 |
| abstract_inverted_index.and/or | 207 |
| abstract_inverted_index.autumn | 27, 72, 111, 159 |
| abstract_inverted_index.caused | 35 |
| abstract_inverted_index.factor | 68 |
| abstract_inverted_index.forced | 237 |
| abstract_inverted_index.played | 211 |
| abstract_inverted_index.poorly | 40 |
| abstract_inverted_index.region | 127 |
| abstract_inverted_index.severe | 10 |
| abstract_inverted_index.shift. | 219 |
| abstract_inverted_index.threat | 5 |
| abstract_inverted_index.weaker | 120 |
| abstract_inverted_index.(CAM6). | 182 |
| abstract_inverted_index.Pacific | 54, 62 |
| abstract_inverted_index.changes | 186, 209, 239 |
| abstract_inverted_index.climate | 238 |
| abstract_inverted_index.eastern | 136 |
| abstract_inverted_index.effects | 114 |
| abstract_inverted_index.forcing | 206 |
| abstract_inverted_index.hotspot | 20 |
| abstract_inverted_index.impacts | 230 |
| abstract_inverted_index.implies | 202 |
| abstract_inverted_index.natural | 11 |
| abstract_inverted_index.pattern | 56, 98, 146, 191, 218 |
| abstract_inverted_index.reduced | 93 |
| abstract_inverted_index.remains | 39 |
| abstract_inverted_index.results | 221 |
| abstract_inverted_index.society | 8 |
| abstract_inverted_index.surface | 88, 169 |
| abstract_inverted_index.version | 180 |
| abstract_inverted_index.weather | 154 |
| abstract_inverted_index.western | 14, 60, 82, 109, 157 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Pacific. | 138 |
| abstract_inverted_index.activity | 74 |
| abstract_inverted_index.captured | 165 |
| abstract_inverted_index.centered | 57 |
| abstract_inverted_index.changes, | 200 |
| abstract_inverted_index.climatic | 67 |
| abstract_inverted_index.confined | 133 |
| abstract_inverted_index.consider | 227 |
| abstract_inverted_index.dramatic | 24 |
| abstract_inverted_index.eastward | 140 |
| abstract_inverted_index.enhanced | 150 |
| abstract_inverted_index.explains | 99 |
| abstract_inverted_index.external | 204 |
| abstract_inverted_index.inducing | 76 |
| abstract_inverted_index.internal | 233 |
| abstract_inverted_index.observed | 199 |
| abstract_inverted_index.pressing | 224 |
| abstract_inverted_index.pressure | 79, 131 |
| abstract_inverted_index.relative | 94 |
| abstract_inverted_index.studying | 241 |
| abstract_inverted_index.variance | 106 |
| abstract_inverted_index.wildfire | 73, 160, 246 |
| abstract_inverted_index.Community | 177 |
| abstract_inverted_index.Wildfires | 1 |
| abstract_inverted_index.activity. | 247 |
| abstract_inverted_index.analyzing | 43 |
| abstract_inverted_index.anomalous | 77 |
| abstract_inverted_index.datasets, | 48 |
| abstract_inverted_index.decreased | 90 |
| abstract_inverted_index.highlight | 222 |
| abstract_inverted_index.humidity. | 95 |
| abstract_inverted_index.important | 213 |
| abstract_inverted_index.increased | 87 |
| abstract_inverted_index.influence | 151 |
| abstract_inverted_index.radiative | 205 |
| abstract_inverted_index.wildfires | 28 |
| abstract_inverted_index.Atmosphere | 178 |
| abstract_inverted_index.conditions | 155 |
| abstract_inverted_index.disasters. | 12 |
| abstract_inverted_index.especially | 29 |
| abstract_inverted_index.externally | 236 |
| abstract_inverted_index.influences | 25 |
| abstract_inverted_index.reanalysis | 47 |
| abstract_inverted_index.resultant, | 149 |
| abstract_inverted_index.variations | 38, 244 |
| abstract_inverted_index.wildfires. | 112 |
| abstract_inverted_index.atmospheric | 46, 172, 232 |
| abstract_inverted_index.experienced | 23 |
| abstract_inverted_index.interannual | 243 |
| abstract_inverted_index.one‐third | 101 |
| abstract_inverted_index.post‐2000 | 71, 104 |
| abstract_inverted_index.significant | 4 |
| abstract_inverted_index.simulations | 174 |
| abstract_inverted_index.temperature | 170 |
| abstract_inverted_index.understood. | 41 |
| abstract_inverted_index.variability | 234 |
| abstract_inverted_index.temperature, | 89 |
| abstract_inverted_index.1980–1990s, | 123 |
| abstract_inverted_index.observational | 44 |
| abstract_inverted_index.(SST)‐forced | 171 |
| abstract_inverted_index.precipitation, | 91 |
| abstract_inverted_index.teleconnection | 145, 190 |
| abstract_inverted_index.WP‐associated | 129 |
| abstract_inverted_index.ensemble‐mean | 185 |
| abstract_inverted_index.teleconnections | 85 |
| abstract_inverted_index.year‐to‐year | 37 |
| abstract_inverted_index.years‐to‐year | 105 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.78697196 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |