Cargando…

Monitoring emissions from the 2015 Indonesian fires using CO satellite data

Southeast Asia, in particular Indonesia, has periodically struggled with intense fire events. These events convert substantial amounts of carbon stored as peat to atmospheric carbon dioxide (CO(2)) and significantly affect atmospheric composition on a regional to global scale. During the recent 2015...

Descripción completa

Detalles Bibliográficos
Autores principales: Nechita-Banda, Narcisa, Krol, Maarten, van der Werf, Guido R., Kaiser, Johannes W., Pandey, Sudhanshu, Huijnen, Vincent, Clerbaux, Cathy, Coheur, Pierre, Deeter, Merritt N., Röckmann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178426/
https://www.ncbi.nlm.nih.gov/pubmed/30297466
http://dx.doi.org/10.1098/rstb.2017.0307
_version_ 1783361958925303808
author Nechita-Banda, Narcisa
Krol, Maarten
van der Werf, Guido R.
Kaiser, Johannes W.
Pandey, Sudhanshu
Huijnen, Vincent
Clerbaux, Cathy
Coheur, Pierre
Deeter, Merritt N.
Röckmann, Thomas
author_facet Nechita-Banda, Narcisa
Krol, Maarten
van der Werf, Guido R.
Kaiser, Johannes W.
Pandey, Sudhanshu
Huijnen, Vincent
Clerbaux, Cathy
Coheur, Pierre
Deeter, Merritt N.
Röckmann, Thomas
author_sort Nechita-Banda, Narcisa
collection PubMed
description Southeast Asia, in particular Indonesia, has periodically struggled with intense fire events. These events convert substantial amounts of carbon stored as peat to atmospheric carbon dioxide (CO(2)) and significantly affect atmospheric composition on a regional to global scale. During the recent 2015 El Niño event, peat fires led to strong enhancements of carbon monoxide (CO), an air pollutant and well-known tracer for biomass burning. These enhancements were clearly observed from space by the Infrared Atmospheric Sounding Interferometer (IASI) and the Measurements of Pollution in the Troposphere (MOPITT) instruments. We use these satellite observations to estimate CO fire emissions within an inverse modelling framework. We find that the derived CO emissions for each sub-region of Indonesia and Papua are substantially different from emission inventories, highlighting uncertainties in bottom-up estimates. CO fire emissions based on either MOPITT or IASI have a similar spatial pattern and evolution in time, and a 10% uncertainty based on a set of sensitivity tests we performed. Thus, CO satellite data have a high potential to complement existing operational fire emission estimates based on satellite observations of fire counts, fire radiative power and burned area, in better constraining fire occurrence and the associated conversion of peat carbon to atmospheric CO(2). A total carbon release to the atmosphere of 0.35–0.60 Pg C can be estimated based on our results. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.
format Online
Article
Text
id pubmed-6178426
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-61784262018-10-22 Monitoring emissions from the 2015 Indonesian fires using CO satellite data Nechita-Banda, Narcisa Krol, Maarten van der Werf, Guido R. Kaiser, Johannes W. Pandey, Sudhanshu Huijnen, Vincent Clerbaux, Cathy Coheur, Pierre Deeter, Merritt N. Röckmann, Thomas Philos Trans R Soc Lond B Biol Sci Articles Southeast Asia, in particular Indonesia, has periodically struggled with intense fire events. These events convert substantial amounts of carbon stored as peat to atmospheric carbon dioxide (CO(2)) and significantly affect atmospheric composition on a regional to global scale. During the recent 2015 El Niño event, peat fires led to strong enhancements of carbon monoxide (CO), an air pollutant and well-known tracer for biomass burning. These enhancements were clearly observed from space by the Infrared Atmospheric Sounding Interferometer (IASI) and the Measurements of Pollution in the Troposphere (MOPITT) instruments. We use these satellite observations to estimate CO fire emissions within an inverse modelling framework. We find that the derived CO emissions for each sub-region of Indonesia and Papua are substantially different from emission inventories, highlighting uncertainties in bottom-up estimates. CO fire emissions based on either MOPITT or IASI have a similar spatial pattern and evolution in time, and a 10% uncertainty based on a set of sensitivity tests we performed. Thus, CO satellite data have a high potential to complement existing operational fire emission estimates based on satellite observations of fire counts, fire radiative power and burned area, in better constraining fire occurrence and the associated conversion of peat carbon to atmospheric CO(2). A total carbon release to the atmosphere of 0.35–0.60 Pg C can be estimated based on our results. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'. The Royal Society 2018-11-19 2018-10-08 /pmc/articles/PMC6178426/ /pubmed/30297466 http://dx.doi.org/10.1098/rstb.2017.0307 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Nechita-Banda, Narcisa
Krol, Maarten
van der Werf, Guido R.
Kaiser, Johannes W.
Pandey, Sudhanshu
Huijnen, Vincent
Clerbaux, Cathy
Coheur, Pierre
Deeter, Merritt N.
Röckmann, Thomas
Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title_full Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title_fullStr Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title_full_unstemmed Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title_short Monitoring emissions from the 2015 Indonesian fires using CO satellite data
title_sort monitoring emissions from the 2015 indonesian fires using co satellite data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178426/
https://www.ncbi.nlm.nih.gov/pubmed/30297466
http://dx.doi.org/10.1098/rstb.2017.0307
work_keys_str_mv AT nechitabandanarcisa monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT krolmaarten monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT vanderwerfguidor monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT kaiserjohannesw monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT pandeysudhanshu monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT huijnenvincent monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT clerbauxcathy monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT coheurpierre monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT deetermerrittn monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata
AT rockmannthomas monitoringemissionsfromthe2015indonesianfiresusingcosatellitedata