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Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño
The large peatland carbon stocks in the land use change‐affected areas of equatorial Asia are vulnerable to fire. Combining satellite observations of active fire, burned area, and atmospheric concentrations of combustion tracers with a Bayesian inversion, we estimated the amount and variability of f...
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Published in: | Geophysical research letters 2016-10, Vol.43 (19), p.10,472-10,479 |
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creator | Yin, Yi Ciais, Philippe Chevallier, Frederic Werf, Guido R. Fanin, Thierry Broquet, Gregoire Boesch, Hartmut Cozic, Anne Hauglustaine, Didier Szopa, Sophie Wang, Yilong |
description | The large peatland carbon stocks in the land use change‐affected areas of equatorial Asia are vulnerable to fire. Combining satellite observations of active fire, burned area, and atmospheric concentrations of combustion tracers with a Bayesian inversion, we estimated the amount and variability of fire carbon emissions in equatorial Asia over the period 1997–2015. Emissions in 2015 were of 0.51 ± 0.17 Pg carbon—less than half of the emissions from the previous 1997 extreme El Niño, explained by a less acute water deficit. Fire severity could be empirically hindcasted from the cumulative water deficit with a lead time of 1 to 2 months. Based on CMIP5 climate projections and an exponential empirical relationship found between fire carbon emissions and water deficit, we infer a total fire carbon loss ranging from 12 to 25 Pg by 2100 which is a significant positive feedback to climate warming.
Key Points
As constrained by atmospheric inversion, 0.5 +/‐ 0.17 Pg carbon was emitted from the equatorial Asia peat fires in 2015
Fire carbon emissions increase exponentially with cumulative water deficit; possible to forecast it with a lead time of 2 months
We infer a future fire carbon loss ranging from 12 to 25 Pg by 2100 in the absence of actions to limit peat burning based on climate projections |
doi_str_mv | 10.1002/2016GL070971 |
format | article |
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Key Points
As constrained by atmospheric inversion, 0.5 +/‐ 0.17 Pg carbon was emitted from the equatorial Asia peat fires in 2015
Fire carbon emissions increase exponentially with cumulative water deficit; possible to forecast it with a lead time of 2 months
We infer a future fire carbon loss ranging from 12 to 25 Pg by 2100 in the absence of actions to limit peat burning based on climate projections</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1002/2016GL070971</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>atmospheric inversion ; Atmospherics ; Bayesian analysis ; Carbon ; carbon cycle ; Carbon emissions ; carbon monoxide ; Climate ; Climate change ; Climate models ; Combustion ; Continental interfaces, environment ; El Nino ; El Nino phenomena ; Emissions ; Equatorial regions ; Fires ; Forest & brush fires ; Global warming ; Inversions ; Land use ; Lead time ; Meteorology ; MOPITT ; Ocean temperature ; Ocean, Atmosphere ; Peat ; peat fire ; Peatlands ; Positive feedback ; Probability theory ; Satellite observation ; Satellites ; Sciences of the Universe ; Stocks ; Tracers ; Variability ; Water deficit</subject><ispartof>Geophysical research letters, 2016-10, Vol.43 (19), p.10,472-10,479</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5380-4987e896a0dec3af6dfb3cb29cb1049fb67427004c13db285ee21451e6ca2b1c3</citedby><cites>FETCH-LOGICAL-c5380-4987e896a0dec3af6dfb3cb29cb1049fb67427004c13db285ee21451e6ca2b1c3</cites><orcidid>0000-0002-4327-3813 ; 0000-0001-7176-2692 ; 0000-0001-7447-6907 ; 0000-0001-8560-4943 ; 0000-0003-4750-4997 ; 0000-0002-8641-1737 ; 0000-0002-4826-5118</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2016GL070971$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2016GL070971$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,11514,27924,27925,46468,46892</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02922454$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Yin, Yi</creatorcontrib><creatorcontrib>Ciais, Philippe</creatorcontrib><creatorcontrib>Chevallier, Frederic</creatorcontrib><creatorcontrib>Werf, Guido R.</creatorcontrib><creatorcontrib>Fanin, Thierry</creatorcontrib><creatorcontrib>Broquet, Gregoire</creatorcontrib><creatorcontrib>Boesch, Hartmut</creatorcontrib><creatorcontrib>Cozic, Anne</creatorcontrib><creatorcontrib>Hauglustaine, Didier</creatorcontrib><creatorcontrib>Szopa, Sophie</creatorcontrib><creatorcontrib>Wang, Yilong</creatorcontrib><title>Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño</title><title>Geophysical research letters</title><description>The large peatland carbon stocks in the land use change‐affected areas of equatorial Asia are vulnerable to fire. Combining satellite observations of active fire, burned area, and atmospheric concentrations of combustion tracers with a Bayesian inversion, we estimated the amount and variability of fire carbon emissions in equatorial Asia over the period 1997–2015. Emissions in 2015 were of 0.51 ± 0.17 Pg carbon—less than half of the emissions from the previous 1997 extreme El Niño, explained by a less acute water deficit. Fire severity could be empirically hindcasted from the cumulative water deficit with a lead time of 1 to 2 months. Based on CMIP5 climate projections and an exponential empirical relationship found between fire carbon emissions and water deficit, we infer a total fire carbon loss ranging from 12 to 25 Pg by 2100 which is a significant positive feedback to climate warming.
Key Points
As constrained by atmospheric inversion, 0.5 +/‐ 0.17 Pg carbon was emitted from the equatorial Asia peat fires in 2015
Fire carbon emissions increase exponentially with cumulative water deficit; possible to forecast it with a lead time of 2 months
We infer a future fire carbon loss ranging from 12 to 25 Pg by 2100 in the absence of actions to limit peat burning based on climate projections</description><subject>atmospheric inversion</subject><subject>Atmospherics</subject><subject>Bayesian analysis</subject><subject>Carbon</subject><subject>carbon cycle</subject><subject>Carbon emissions</subject><subject>carbon monoxide</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Combustion</subject><subject>Continental interfaces, environment</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Emissions</subject><subject>Equatorial regions</subject><subject>Fires</subject><subject>Forest & brush fires</subject><subject>Global warming</subject><subject>Inversions</subject><subject>Land use</subject><subject>Lead time</subject><subject>Meteorology</subject><subject>MOPITT</subject><subject>Ocean temperature</subject><subject>Ocean, Atmosphere</subject><subject>Peat</subject><subject>peat fire</subject><subject>Peatlands</subject><subject>Positive feedback</subject><subject>Probability theory</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Sciences of the Universe</subject><subject>Stocks</subject><subject>Tracers</subject><subject>Variability</subject><subject>Water deficit</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqN0d1qVDEQB_AgFlzb3vUBAt4odHXynVwupW6FQwVRb0NONgdT0qRNzlb2sfoMfTGzrIh4UbzKZPgxzJ9B6IzAewJAP1Agcj2AAqPIC7QghvOlBlAv0QLA9Joq-Qq9bu0GABgwskDuu6vRjTHFeYfLhKdYA_aujiXjcBtbiyU3HPvnfuvm0m3CqxYddnmD49xwLjnFHFzFLeQW5_iwnzQXfJnwdXx6LCfoaHKphdPf7zH69vHy68XVcvi8_nSxGpZeMA1LbrQK2kgHm-CZm-RmGpkfqfEjAW6mUSpOFQD3hG1GqkUIlHBBgvSOjsSzY_TuMPeHS_auxltXd7a4aK9Wg933gBpKueAPpNu3B3tXy_02tNn2qD6k5HIo22aJFn0pqrX5D8oUNZIy3umbf-hN2dbcQ1tiBJHCKC2fVZpRDcwQ0dX5QflaWqth-hOJgN0f2_597M7pgf-MKeyetXb9ZRACJLBfJT-ofA</recordid><startdate>20161016</startdate><enddate>20161016</enddate><creator>Yin, Yi</creator><creator>Ciais, Philippe</creator><creator>Chevallier, Frederic</creator><creator>Werf, Guido R.</creator><creator>Fanin, Thierry</creator><creator>Broquet, Gregoire</creator><creator>Boesch, Hartmut</creator><creator>Cozic, Anne</creator><creator>Hauglustaine, Didier</creator><creator>Szopa, Sophie</creator><creator>Wang, Yilong</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-4327-3813</orcidid><orcidid>https://orcid.org/0000-0001-7176-2692</orcidid><orcidid>https://orcid.org/0000-0001-7447-6907</orcidid><orcidid>https://orcid.org/0000-0001-8560-4943</orcidid><orcidid>https://orcid.org/0000-0003-4750-4997</orcidid><orcidid>https://orcid.org/0000-0002-8641-1737</orcidid><orcidid>https://orcid.org/0000-0002-4826-5118</orcidid></search><sort><creationdate>20161016</creationdate><title>Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño</title><author>Yin, Yi ; Ciais, Philippe ; Chevallier, Frederic ; Werf, Guido R. ; Fanin, Thierry ; Broquet, Gregoire ; Boesch, Hartmut ; Cozic, Anne ; Hauglustaine, Didier ; Szopa, Sophie ; Wang, Yilong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5380-4987e896a0dec3af6dfb3cb29cb1049fb67427004c13db285ee21451e6ca2b1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>atmospheric inversion</topic><topic>Atmospherics</topic><topic>Bayesian analysis</topic><topic>Carbon</topic><topic>carbon cycle</topic><topic>Carbon emissions</topic><topic>carbon monoxide</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Combustion</topic><topic>Continental interfaces, environment</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>Emissions</topic><topic>Equatorial regions</topic><topic>Fires</topic><topic>Forest & brush fires</topic><topic>Global warming</topic><topic>Inversions</topic><topic>Land use</topic><topic>Lead time</topic><topic>Meteorology</topic><topic>MOPITT</topic><topic>Ocean temperature</topic><topic>Ocean, Atmosphere</topic><topic>Peat</topic><topic>peat fire</topic><topic>Peatlands</topic><topic>Positive feedback</topic><topic>Probability theory</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Sciences of the Universe</topic><topic>Stocks</topic><topic>Tracers</topic><topic>Variability</topic><topic>Water deficit</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Yi</creatorcontrib><creatorcontrib>Ciais, Philippe</creatorcontrib><creatorcontrib>Chevallier, Frederic</creatorcontrib><creatorcontrib>Werf, Guido R.</creatorcontrib><creatorcontrib>Fanin, Thierry</creatorcontrib><creatorcontrib>Broquet, Gregoire</creatorcontrib><creatorcontrib>Boesch, Hartmut</creatorcontrib><creatorcontrib>Cozic, Anne</creatorcontrib><creatorcontrib>Hauglustaine, Didier</creatorcontrib><creatorcontrib>Szopa, Sophie</creatorcontrib><creatorcontrib>Wang, Yilong</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Yi</au><au>Ciais, Philippe</au><au>Chevallier, Frederic</au><au>Werf, Guido R.</au><au>Fanin, Thierry</au><au>Broquet, Gregoire</au><au>Boesch, Hartmut</au><au>Cozic, Anne</au><au>Hauglustaine, Didier</au><au>Szopa, Sophie</au><au>Wang, Yilong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño</atitle><jtitle>Geophysical research letters</jtitle><date>2016-10-16</date><risdate>2016</risdate><volume>43</volume><issue>19</issue><spage>10,472</spage><epage>10,479</epage><pages>10,472-10,479</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>The large peatland carbon stocks in the land use change‐affected areas of equatorial Asia are vulnerable to fire. Combining satellite observations of active fire, burned area, and atmospheric concentrations of combustion tracers with a Bayesian inversion, we estimated the amount and variability of fire carbon emissions in equatorial Asia over the period 1997–2015. Emissions in 2015 were of 0.51 ± 0.17 Pg carbon—less than half of the emissions from the previous 1997 extreme El Niño, explained by a less acute water deficit. Fire severity could be empirically hindcasted from the cumulative water deficit with a lead time of 1 to 2 months. Based on CMIP5 climate projections and an exponential empirical relationship found between fire carbon emissions and water deficit, we infer a total fire carbon loss ranging from 12 to 25 Pg by 2100 which is a significant positive feedback to climate warming.
Key Points
As constrained by atmospheric inversion, 0.5 +/‐ 0.17 Pg carbon was emitted from the equatorial Asia peat fires in 2015
Fire carbon emissions increase exponentially with cumulative water deficit; possible to forecast it with a lead time of 2 months
We infer a future fire carbon loss ranging from 12 to 25 Pg by 2100 in the absence of actions to limit peat burning based on climate projections</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2016GL070971</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-4327-3813</orcidid><orcidid>https://orcid.org/0000-0001-7176-2692</orcidid><orcidid>https://orcid.org/0000-0001-7447-6907</orcidid><orcidid>https://orcid.org/0000-0001-8560-4943</orcidid><orcidid>https://orcid.org/0000-0003-4750-4997</orcidid><orcidid>https://orcid.org/0000-0002-8641-1737</orcidid><orcidid>https://orcid.org/0000-0002-4826-5118</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | atmospheric inversion Atmospherics Bayesian analysis Carbon carbon cycle Carbon emissions carbon monoxide Climate Climate change Climate models Combustion Continental interfaces, environment El Nino El Nino phenomena Emissions Equatorial regions Fires Forest & brush fires Global warming Inversions Land use Lead time Meteorology MOPITT Ocean temperature Ocean, Atmosphere Peat peat fire Peatlands Positive feedback Probability theory Satellite observation Satellites Sciences of the Universe Stocks Tracers Variability Water deficit |
title | Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño |
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