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1000 Titel
  • Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015)
1000 Autor/in
  1. Marle, Margreet J. E. van |
  2. Kloster, Silvia |
  3. Magi, Brian I. |
  4. Marlon, Jennifer R. |
  5. Daniau, Anne-Laure |
  6. Field, Robert D. |
  7. Arneth, Almut |
  8. Forrest, Matthew |
  9. Hantson, Stijn |
  10. Kehrwald, Natalie M. |
  11. Knorr, Wolfgang |
  12. Lasslop, Gitta |
  13. Li, Fang |
  14. Mangeon, Stéphane |
  15. Yue, Chao |
  16. Kaiser, Johannes W. |
  17. Werf, Guido R. van der |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-09-11
1000 Erschienen in
1000 Quellenangabe
  • 10(9):3329-3357
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/gmd-10-3329-2017 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 Pg C 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.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. European Research Council (ERC) |
  2. National Science Foundation (NSF) |
  3. Centre national de la recherche scientifique (CNRS) |
  4. National Aeronautics and Space Administration (NASA) |
  5. European Union (EU) |
  6. Swedish Government |
1000 Fördernummer
  1. 280061
  2. 1437074; 1436496
  3. 06484
  4. -
  5. 603445; 603542; 265148; 633080
  6. -
1000 Förderprogramm
  1. -
  2. Behavioral and Cognitive Sciences (BCS)
  3. Projet international de coopération scientifique (PICS)
  4. Atmospheric Composition Modeling and Analysis Program (ACMAP)
  5. mpact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding (BACCHUS); Land use change: assessing the net climate forcing, and options for climate change mitigation and adaptation (LUC4C); Pan-EuropeanGas-AeroSol-climate interaction Study (PEGASOS); Seventh Framework Program (FP7); Monitoring atmospheric composition & climate (MACC-III); Horizon 2010 (H2020)
  6. Biodiversity and Ecosystem Services in a Changing Climate (BECC)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Research Council (ERC) |
    1000 Förderprogramm -
    1000 Fördernummer 280061
  2. 1000 joinedFunding-child
    1000 Förderer National Science Foundation (NSF) |
    1000 Förderprogramm Behavioral and Cognitive Sciences (BCS)
    1000 Fördernummer 1437074; 1436496
  3. 1000 joinedFunding-child
    1000 Förderer Centre national de la recherche scientifique (CNRS) |
    1000 Förderprogramm Projet international de coopération scientifique (PICS)
    1000 Fördernummer 06484
  4. 1000 joinedFunding-child
    1000 Förderer National Aeronautics and Space Administration (NASA) |
    1000 Förderprogramm Atmospheric Composition Modeling and Analysis Program (ACMAP)
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer European Union (EU) |
    1000 Förderprogramm mpact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding (BACCHUS); Land use change: assessing the net climate forcing, and options for climate change mitigation and adaptation (LUC4C); Pan-EuropeanGas-AeroSol-climate interaction Study (PEGASOS); Seventh Framework Program (FP7); Monitoring atmospheric composition & climate (MACC-III); Horizon 2010 (H2020)
    1000 Fördernummer 603445; 603542; 265148; 633080
  6. 1000 joinedFunding-child
    1000 Förderer Swedish Government |
    1000 Förderprogramm Biodiversity and Ecosystem Services in a Changing Climate (BECC)
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6408588.rdf
1000 Erstellt am 2018-06-29T10:44:42.538+0200
1000 Erstellt von 270
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  1. oai:frl.publisso.de:frl:6408588 |
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