Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions

<p>Despite the consensus on the overall downward trend in Amazon forest loss in the previous decade, estimates of yearly carbon emissions from deforestation still vary widely. Estimated carbon emissions are currently often based on data from local logging activity reports, changes in remotely...

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Main Authors: S. Naus, L. G. Domingues, M. Krol, I. T. Luijkx, L. V. Gatti, J. B. Miller, E. Gloor, S. Basu, C. Correia, G. Koren, H. M. Worden, J. Flemming, G. Pétron, W. Peters
Format: Article
Language:English
Published: Copernicus Publications 2022-11-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/22/14735/2022/acp-22-14735-2022.pdf
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author S. Naus
S. Naus
L. G. Domingues
L. G. Domingues
M. Krol
M. Krol
I. T. Luijkx
L. V. Gatti
L. V. Gatti
J. B. Miller
E. Gloor
S. Basu
S. Basu
C. Correia
C. Correia
G. Koren
H. M. Worden
J. Flemming
G. Pétron
G. Pétron
W. Peters
W. Peters
author_facet S. Naus
S. Naus
L. G. Domingues
L. G. Domingues
M. Krol
M. Krol
I. T. Luijkx
L. V. Gatti
L. V. Gatti
J. B. Miller
E. Gloor
S. Basu
S. Basu
C. Correia
C. Correia
G. Koren
H. M. Worden
J. Flemming
G. Pétron
G. Pétron
W. Peters
W. Peters
author_sort S. Naus
collection DOAJ
description <p>Despite the consensus on the overall downward trend in Amazon forest loss in the previous decade, estimates of yearly carbon emissions from deforestation still vary widely. Estimated carbon emissions are currently often based on data from local logging activity reports, changes in remotely sensed biomass, and remote detection of fire hotspots and burned area. Here, we use 16 years of satellite-derived carbon monoxide (CO) columns to constrain fire CO emissions from the Amazon Basin between 2003 and 2018. Through data assimilation, we produce 3 d average maps of fire CO emissions over the Amazon, which we verified to be consistent with a long-term monitoring programme of aircraft CO profiles over five sites in the Amazon. Our new product independently confirms a long-term decrease of 54 % in deforestation-related CO emissions over the study period. Interannual variability is large, with known anomalously dry years showing a more than 4-fold increase in basin-wide fire emissions relative to wet years. At the level of individual Brazilian states, we find that both soil moisture anomalies and human ignitions determine fire activity, suggesting that future carbon release from fires depends on drought intensity as much as on continued forest protection. Our study shows that the atmospheric composition perspective on deforestation is a valuable additional monitoring instrument that complements existing bottom-up and remote sensing methods for land-use change. Extension of such a perspective to an operational framework is timely considering the observed increased fire intensity in the Amazon Basin between 2019 and 2021.</p>
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spelling doaj.art-2c0cf0b2531847f699e6a416dda20cde2022-12-22T04:18:32ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-11-0122147351475010.5194/acp-22-14735-2022Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissionsS. Naus0S. Naus1L. G. Domingues2L. G. Domingues3M. Krol4M. Krol5I. T. Luijkx6L. V. Gatti7L. V. Gatti8J. B. Miller9E. Gloor10S. Basu11S. Basu12C. Correia13C. Correia14G. Koren15H. M. Worden16J. Flemming17G. Pétron18G. Pétron19W. Peters20W. Peters21Meteorology and Air Quality Group, Wageningen University and Research, Wageningen, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsNational Isotope Centre, GNS Science, Lower Hutt, New ZealandNuclear and Energy Research Institute, São Paulo, BrazilMeteorology and Air Quality Group, Wageningen University and Research, Wageningen, the NetherlandsInstitute for Marine and Atmospheric Research, Utrecht University, Utrecht, the NetherlandsMeteorology and Air Quality Group, Wageningen University and Research, Wageningen, the NetherlandsNuclear and Energy Research Institute, São Paulo, BrazilNational Institute for Space Research (INPE), São José dos Campos, BrazilGlobal Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO, USASchool of Geography, University of Leeds, Leeds, UKEarth System Science Interdisciplinary Center, University of Maryland, Maryland, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANuclear and Energy Research Institute, São Paulo, BrazilNational Institute for Space Research (INPE), São José dos Campos, BrazilCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, the NetherlandsAtmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USAEuropean Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UKGlobal Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO, USACooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USAMeteorology and Air Quality Group, Wageningen University and Research, Wageningen, the NetherlandsCentre for Isotope Research, University of Groningen, Groningen, the Netherlands<p>Despite the consensus on the overall downward trend in Amazon forest loss in the previous decade, estimates of yearly carbon emissions from deforestation still vary widely. Estimated carbon emissions are currently often based on data from local logging activity reports, changes in remotely sensed biomass, and remote detection of fire hotspots and burned area. Here, we use 16 years of satellite-derived carbon monoxide (CO) columns to constrain fire CO emissions from the Amazon Basin between 2003 and 2018. Through data assimilation, we produce 3 d average maps of fire CO emissions over the Amazon, which we verified to be consistent with a long-term monitoring programme of aircraft CO profiles over five sites in the Amazon. Our new product independently confirms a long-term decrease of 54 % in deforestation-related CO emissions over the study period. Interannual variability is large, with known anomalously dry years showing a more than 4-fold increase in basin-wide fire emissions relative to wet years. At the level of individual Brazilian states, we find that both soil moisture anomalies and human ignitions determine fire activity, suggesting that future carbon release from fires depends on drought intensity as much as on continued forest protection. Our study shows that the atmospheric composition perspective on deforestation is a valuable additional monitoring instrument that complements existing bottom-up and remote sensing methods for land-use change. Extension of such a perspective to an operational framework is timely considering the observed increased fire intensity in the Amazon Basin between 2019 and 2021.</p>https://acp.copernicus.org/articles/22/14735/2022/acp-22-14735-2022.pdf
spellingShingle S. Naus
S. Naus
L. G. Domingues
L. G. Domingues
M. Krol
M. Krol
I. T. Luijkx
L. V. Gatti
L. V. Gatti
J. B. Miller
E. Gloor
S. Basu
S. Basu
C. Correia
C. Correia
G. Koren
H. M. Worden
J. Flemming
G. Pétron
G. Pétron
W. Peters
W. Peters
Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
Atmospheric Chemistry and Physics
title Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
title_full Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
title_fullStr Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
title_full_unstemmed Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
title_short Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
title_sort sixteen years of mopitt satellite data strongly constrain amazon co fire emissions
url https://acp.copernicus.org/articles/22/14735/2022/acp-22-14735-2022.pdf
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