Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Six global biomass burning emission datasets: intercomparison and application in one global aerosol model
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Charles Ichoku
College of Arts & Sciences, Howard University, Washington DC, USA
Mian Chin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Huisheng Bian
Joint Center for Earth Systems Technology, University of Maryland Baltimore City, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Anton Darmenov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Peter Colarco
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Luke Ellison
Science Systems and Applications, Inc., Lanham, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Tom Kucsera
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, MD, USA
College of Engineering, University of Iowa, Iowa City, IA, USA
Tomohiro Oda
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Ge Cui
College of Engineering, University of Iowa, Iowa City, IA, USA
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- Australian Fire Emissions of Carbon Monoxide Estimated by Global Biomass Burning Inventories: Variability and Observational Constraints M. Desservettaz et al. 10.1029/2021JD035925
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- Review of agricultural biomass burning and its impact on air quality in the continental United States of America S. Pinakana et al. 10.1016/j.envadv.2024.100546
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- Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. 10.5194/acp-21-5393-2021
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Latest update: 23 Nov 2024
Short summary
The differences between these six BB emission datasets are large. Our study found that (1) most current biomass burning (BB) aerosol emission datasets derived from satellite observations lead to the underestimation of aerosol optical depth (AOD) in this model in the biomass-burning-dominated regions and (2) it is important to accurately estimate both the magnitudes and spatial patterns of regional BB emissions in order for a model using these emissions to reproduce observed AOD levels.
The differences between these six BB emission datasets are large. Our study found that (1) most...
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