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Historic global bio...
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Van Marle, Margreet J.E.Vrije Universiteit Amsterdam
(author)
Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750-2015)
- Article/chapterEnglish2017
Publisher, publication year, extent ...
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2017-09-11
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Copernicus GmbH,2017
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29 s.
Numbers
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LIBRIS-ID:oai:lup.lub.lu.se:81b2d58e-1211-430a-92b2-582259de1e2f
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https://lup.lub.lu.se/record/81b2d58e-1211-430a-92b2-582259de1e2fURI
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https://doi.org/10.5194/gmd-10-3329-2017DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:for swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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Fires have influenced atmospheric composition and climate since the rise of vascular plants, and satellite data have shown the overall global extent of fires. Our knowledge of historic fire emissions has progressively improved over the past decades due mostly to the development of new proxies and the improvement of fire models. Currently, there is a suite of proxies including sedimentary charcoal records, measurements of fire-emitted trace gases and black carbon stored in ice and firn, and visibility observations. These proxies provide opportunities to extrapolate emission estimates back in time based on satellite data starting in 1997, but each proxy has strengths and weaknesses regarding, for example, the spatial and temporal extents over which they are representative. We developed a new historic biomass burning emissions dataset starting in 1750 that merges the satellite record with several existing proxies and uses the average of six models from the Fire Model Intercomparison Project (FireMIP) protocol to estimate emissions when the available proxies had limited coverage. According to our approach, global biomass burning emissions were relatively constant, with 10-year averages varying between 1.8 and 2.3 PgC yr-1. Carbon emissions increased only slightly over the full time period and peaked during the 1990s after which they decreased gradually. There is substantial uncertainty in these estimates, and patterns varied depending on choices regarding data representation, especially on regional scales. The observed pattern in fire carbon emissions is for a large part driven by African fires, which accounted for 58% of global fire carbon emissions. African fire emissions declined since about 1950 due to conversion of savanna to cropland, and this decrease is partially compensated for by increasing emissions in deforestation zones of South America and Asia. These global fire emission estimates are mostly suited for global analyses and will be used in the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Kloster, SilviaMax Planck Institute for Meteorology
(author)
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Magi, Brian I.University of North Carolina
(author)
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Marlon, Jennifer R.Yale University
(author)
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Daniau, Anne LaureUniversity of Bordeaux
(author)
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Field, Robert D.NASA Goddard Institute for Space Studies
(author)
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Arneth, AlmutKarlsruhe Institute of Technology(Swepub:lu)nate-aar
(author)
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Forrest, MatthewSenckenberg Biodiversity and Climate Research Centre
(author)
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Hantson, StijnKarlsruhe Institute of Technology
(author)
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Kehrwald, Natalie M.United States Geological Survey Western Region
(author)
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Knorr, WolfgangLund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science(Swepub:lu)wo1205kn
(author)
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Lasslop, GittaMax Planck Institute for Meteorology
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Li, Jian-FangInstitute of Atmospheric Physics, Chinese Academy of Sciences
(author)
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Mangeon, StéphaneImperial College London
(author)
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Yue, ChaoUniversity of Paris-Saclay
(author)
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Kaiser, Johannes W.Max Planck Institute for Chemistry
(author)
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Van der Werf, Guido R.Vrije Universiteit Amsterdam
(author)
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Vrije Universiteit AmsterdamMax Planck Institute for Meteorology
(creator_code:org_t)
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In:Geoscientific Model Development: Copernicus GmbH10:9, s. 3329-33571991-959X1991-9603
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Van Marle, Margr ...
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Kloster, Silvia
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Field, Robert D.
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Arneth, Almut
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Forrest, Matthew
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Hantson, Stijn
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Knorr, Wolfgang
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Lasslop, Gitta
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Li, Jian-Fang
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