Projection of wildfire activity in southern California in the mid-twenty-first century
We estimate area burned in southern California at mid-century (2046–2065) for the Intergovernmental Panel on Climate Change A1B scenario. We develop both regressions and a parameterization to predict area burned in three ecoregions, and apply present-day (1981–2000) and future meteorology from the s...
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container_end_page | 1991 |
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container_title | Climate dynamics |
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creator | Yue, Xu Mickley, Loretta J Logan, Jennifer A |
description | We estimate area burned in southern California at mid-century (2046–2065) for the Intergovernmental Panel on Climate Change A1B scenario. We develop both regressions and a parameterization to predict area burned in three ecoregions, and apply present-day (1981–2000) and future meteorology from the suite of general circulation models to these fire prediction tools. The regressions account for the impacts of both current and antecedent meteorological factors on wildfire activity and explain 40–46 % of the variance in area burned during 1980–2009. The parameterization yields area burned as a function of temperature, precipitation, and relative humidity, and includes the impact of Santa Ana wind and other geographical factors on wildfires. It explains 38 % of the variance in area burned over southern California as a whole, and 64 % of the variance in southwestern California. The parameterization also captures the seasonality of wildfires in three ecoregions of southern California. Using the regressions, we find that area burned likely doubles in Southwestern California by midcentury, and increases by 35 % in the Sierra Nevada and 10 % in central western California. The parameterization suggests a likely increase of 40 % in area burned in southwestern California and 50 % in the Sierra Nevada by midcentury. It also predicts a longer fire season in southwestern California due to warmer and drier conditions on Santa Ana days in November. Our method provides robust estimates of area burned at midcentury, a key metric which can be used to calculate the fire-related effects on air quality, human health, and the associated costs. |
doi_str_mv | 10.1007/s00382-013-2022-3 |
format | Article |
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We develop both regressions and a parameterization to predict area burned in three ecoregions, and apply present-day (1981–2000) and future meteorology from the suite of general circulation models to these fire prediction tools. The regressions account for the impacts of both current and antecedent meteorological factors on wildfire activity and explain 40–46 % of the variance in area burned during 1980–2009. The parameterization yields area burned as a function of temperature, precipitation, and relative humidity, and includes the impact of Santa Ana wind and other geographical factors on wildfires. It explains 38 % of the variance in area burned over southern California as a whole, and 64 % of the variance in southwestern California. The parameterization also captures the seasonality of wildfires in three ecoregions of southern California. Using the regressions, we find that area burned likely doubles in Southwestern California by midcentury, and increases by 35 % in the Sierra Nevada and 10 % in central western California. The parameterization suggests a likely increase of 40 % in area burned in southwestern California and 50 % in the Sierra Nevada by midcentury. It also predicts a longer fire season in southwestern California due to warmer and drier conditions on Santa Ana days in November. Our method provides robust estimates of area burned at midcentury, a key metric which can be used to calculate the fire-related effects on air quality, human health, and the associated costs.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-013-2022-3</identifier><identifier>CODEN: CLDYEM</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Air quality ; Animal, plant and microbial ecology ; Applied ecology ; Biological and medical sciences ; Climate change ; Climatology ; Climatology. Bioclimatology. 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We develop both regressions and a parameterization to predict area burned in three ecoregions, and apply present-day (1981–2000) and future meteorology from the suite of general circulation models to these fire prediction tools. The regressions account for the impacts of both current and antecedent meteorological factors on wildfire activity and explain 40–46 % of the variance in area burned during 1980–2009. The parameterization yields area burned as a function of temperature, precipitation, and relative humidity, and includes the impact of Santa Ana wind and other geographical factors on wildfires. It explains 38 % of the variance in area burned over southern California as a whole, and 64 % of the variance in southwestern California. The parameterization also captures the seasonality of wildfires in three ecoregions of southern California. Using the regressions, we find that area burned likely doubles in Southwestern California by midcentury, and increases by 35 % in the Sierra Nevada and 10 % in central western California. The parameterization suggests a likely increase of 40 % in area burned in southwestern California and 50 % in the Sierra Nevada by midcentury. It also predicts a longer fire season in southwestern California due to warmer and drier conditions on Santa Ana days in November. Our method provides robust estimates of area burned at midcentury, a key metric which can be used to calculate the fire-related effects on air quality, human health, and the associated costs.</description><subject>Air quality</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Climate change</subject><subject>Climatology</subject><subject>Climatology. Bioclimatology. Climate change</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth, ocean, space</subject><subject>ecoregions</subject><subject>Environmental aspects</subject><subject>Environmental degradation: ecosystems survey and restoration</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>fire season</subject><subject>Forest & brush fires</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General Circulation Models</subject><subject>Geophysics/Geodesy</subject><subject>human health</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>Meteorology</subject><subject>Methods</subject><subject>Oceanography</subject><subject>prediction</subject><subject>Relative humidity</subject><subject>Seasonal variations</subject><subject>temperature</subject><subject>variance</subject><subject>Weather forecasting</subject><subject>Wildfires</subject><subject>wind</subject><subject>Wind power</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUFvFCEcxYnRxLX6ATw5ibGxh6l_YAaYY7NR26SJxlqvhGFgl80sVGCs--1lMo3pehAOkMfvvQAPodcYzjEA_5AAqCA1YFoTIKSmT9AKN7QoomueohV0FGre8vY5epHSDgA3jJMV-vE1hp3R2QVfBVvdu3GwLppKFemXy4fK-SqFKW9N9NVajc6G6J2a5aJVezfU-d74fKiLLeVKl_0UDy_RM6vGZF49rCfo9tPH7-vL-vrL56v1xXWtGWa5bjk3ggz9QKCFznLFyQAKK9qbrhvANr02g9JMN522GndU94ozMMQIMfTQ0xP0fsm9i-HnZFKWe5e0GUflTZiSxAxjRhm0vKBv_0F3YYq-3E7iljEMDSaiUOcLtVGjkc7bkKPSZQ5m73TwxrqiX1DBCMYC5tizI0NhsvmdN2pKSV7dfDtmTx-xW6PGvE1hnObfT8cgXkAdQ0rRWHkX3V7Fg8Qg577l0rcsfcu5b0mL593D-1TSarRRee3SXyMRoiOCzxxZuFSO_MbER__wn_A3i8mqINUmluDbGwK4hTJE2zD6B4OXwgM</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Yue, Xu</creator><creator>Mickley, Loretta J</creator><creator>Logan, Jennifer A</creator><general>Springer-Verlag</general><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7ST</scope><scope>7TV</scope><scope>7U6</scope></search><sort><creationdate>20141001</creationdate><title>Projection of wildfire activity in southern California in the mid-twenty-first century</title><author>Yue, Xu ; Mickley, Loretta J ; Logan, Jennifer A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c616t-577e82dbd20509f7a72d0a1a3be99d0f4bcedac6c49cfc193cba760e2e88db0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Air quality</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Climate change</topic><topic>Climatology</topic><topic>Climatology. Bioclimatology. Climate change</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth, ocean, space</topic><topic>ecoregions</topic><topic>Environmental aspects</topic><topic>Environmental degradation: ecosystems survey and restoration</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>fire season</topic><topic>Forest & brush fires</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General Circulation Models</topic><topic>Geophysics/Geodesy</topic><topic>human health</topic><topic>Intergovernmental Panel on Climate Change</topic><topic>Meteorology</topic><topic>Methods</topic><topic>Oceanography</topic><topic>prediction</topic><topic>Relative humidity</topic><topic>Seasonal variations</topic><topic>temperature</topic><topic>variance</topic><topic>Weather forecasting</topic><topic>Wildfires</topic><topic>wind</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yue, Xu</creatorcontrib><creatorcontrib>Mickley, Loretta J</creatorcontrib><creatorcontrib>Logan, Jennifer A</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Military Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yue, Xu</au><au>Mickley, Loretta J</au><au>Logan, Jennifer A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Projection of wildfire activity in southern California in the mid-twenty-first century</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>43</volume><issue>7-8</issue><spage>1973</spage><epage>1991</epage><pages>1973-1991</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><coden>CLDYEM</coden><abstract>We estimate area burned in southern California at mid-century (2046–2065) for the Intergovernmental Panel on Climate Change A1B scenario. We develop both regressions and a parameterization to predict area burned in three ecoregions, and apply present-day (1981–2000) and future meteorology from the suite of general circulation models to these fire prediction tools. The regressions account for the impacts of both current and antecedent meteorological factors on wildfire activity and explain 40–46 % of the variance in area burned during 1980–2009. The parameterization yields area burned as a function of temperature, precipitation, and relative humidity, and includes the impact of Santa Ana wind and other geographical factors on wildfires. It explains 38 % of the variance in area burned over southern California as a whole, and 64 % of the variance in southwestern California. The parameterization also captures the seasonality of wildfires in three ecoregions of southern California. Using the regressions, we find that area burned likely doubles in Southwestern California by midcentury, and increases by 35 % in the Sierra Nevada and 10 % in central western California. The parameterization suggests a likely increase of 40 % in area burned in southwestern California and 50 % in the Sierra Nevada by midcentury. It also predicts a longer fire season in southwestern California due to warmer and drier conditions on Santa Ana days in November. Our method provides robust estimates of area burned at midcentury, a key metric which can be used to calculate the fire-related effects on air quality, human health, and the associated costs.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s00382-013-2022-3</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air quality Animal, plant and microbial ecology Applied ecology Biological and medical sciences Climate change Climatology Climatology. Bioclimatology. Climate change Conservation, protection and management of environment and wildlife Earth and Environmental Science Earth Sciences Earth, ocean, space ecoregions Environmental aspects Environmental degradation: ecosystems survey and restoration Exact sciences and technology External geophysics fire season Forest & brush fires Fundamental and applied biological sciences. Psychology General Circulation Models Geophysics/Geodesy human health Intergovernmental Panel on Climate Change Meteorology Methods Oceanography prediction Relative humidity Seasonal variations temperature variance Weather forecasting Wildfires wind Wind power |
title | Projection of wildfire activity in southern California in the mid-twenty-first century |
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