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Historical (1700–2012) Global Multi-Model Estimates of the Fire Emissions from the Fire Modeling Intercomparison Project (FireMIP)Fire emissions are critical for carbon and nutrient cycles, climate, and air quality. Dynamic Global Vegetation Models (DGVMs) with interactive fire modeling provide important estimates for long-term and large-scale changes of fire emissions. Here we present the first multi-model estimates of global gridded historical fire emissions for 1700-2012, including carbon and 33 species of trace gases and aerosols. The dataset is based on simulations of nine DGVMs with different state-of-the-art global fire models that participated in the Fire Modeling Intercomparison Project (FireMIP), using the same and standardized protocols and forcing data, and the most up-to-date fire emission factor table from field and laboratory studies over various land cover types. We evaluate the simulations of present-day fire emissions by comparing them with satellite-based products. Evaluation results show that most DGVMs simulate present-day global fire emission totals within the range of satellite-based products, and can capture the high emissions over the tropical savannas, low emissions over the arid and sparsely vegetated regions, and the main features of seasonality. However, most of the models fail to simulate the interannual variability, partly due to a lack of modeling peat fires and tropical deforestation fires. Historically, all models show only a weak trend in global fire emissions before ~1850s, consistent with multi-source merged historical reconstructions. The long-term trends among DGVMs are quite different for the 20th century, with some models showing an increase and others a decrease in fire emissions, mainly as a result of the discrepancy in their simulated responses to human population density change and land-use and land-cover change (LULCC). Our study provides a basic dataset for developing regional and global multi-source merged historical reconstructions and merging methods, and analyzing historical changes of fire emissions and their uncertainties as well as their role in the Earth system. It also highlights the importance of accurately modeling the responses of fire emissions to LULCC and population density change in reducing uncertainties in historical reconstructions of fire emissions and providing more reliable future projections.
Document ID
20190032410
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.5194/acp-19-12545-2019
Authors
Li, Fang ORCID(Chinese Academy of Sciences Beijing, China)
Val Martin, Maria ORCID(University of Sheffield Sheffield, United Kingdom)
Andreae, Meinrat O. ORCID(Max-Planck-Institut für Chemie Mainz, Germany)
Arneth, Almut (Karlsruher Institut für Technologie Karlsruhe, Germany)
Hantson, Stijn ORCID(California Univ. (UCI) Irvine, CA, United States)
Kaiser, Johannes W. ORCID(Deutscher Wetterdienst Offenbach am Main, Germany)
Lasslop, Gitta ORCID(Biodiversität und Klima Forschungszentrum Frankfurt, Germany)
Yue, Chao ORCID(Northwest A&F Univ. Yangling, Republic of China)
Bachelet, Dominique (Oregon State Univ. Corvallis, OR, United States)
Forrest, Matthew ORCID(Biodiversität und Klima Forschungszentrum Frankfurt, Germany)
Kluzek, Erik (National Center for Atmospheric Research Boulder, CO, United States)
Liu, Xiaohong (Wyoming Univ. Laramie, WY, United States)
Mangeon, Stephane (Imperial College London London, United Kingdom)
Melton, Joe R. ORCID(Environment and Climate Change Canada (ECCC) Victoria, British Columbia, Canada)
Ward, Daniel S. (Karen Clark and Company Boston, MA, United States)
Darmenov, Anton (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hickler, Thomas (Biodiversität und Klima Forschungszentrum Frankfurt, Germany)
Ichoku, Charles (Howard Univ. Washington, DC, United States)
Magi, Brian I. ORCID(University of North Carolina at Charlotte (UNC Charlotte) Charlotte, NC, United States)
Sitch, Stephen (Exeter University Exeter, England, United Kingdom)
van der Werf, Guido R. (Vrije Universiteit Amsterdam Amsterdam, Netherlands)
Wiedinmyer, Christine (Colorado Univ. Boulder, CO, United States)
Rabin, Sam S. ORCID(Karlsruher Institut für Technologie Karlsruhe, Germany)
Date Acquired
October 30, 2019
Publication Date
October 9, 2019
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: European Geosciences Union
Volume: 19
Issue: 19
ISSN: 1680-7316
e-ISSN: 1680-7324
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN74255
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Technical Management

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