Articles | Volume 20, issue 17
https://doi.org/10.5194/acp-20-10259-2020
© 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-20-10259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Sep 2020
Research article |
| 04 Sep 2020
| 04 Sep 2020
Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD 20740, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD 20740, USA
Ariel Stein
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Shobha Kondragunta
National Environmental Satellite, Data and Information Service,
National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
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Short summary
Smoke forecasts have been challenged by high uncertainty in fire emission estimates. We develop an inverse modeling system, the HYSPLIT-based Emissions Inverse Modeling System for wildfires, that estimates wildfire emissions from the transport and dispersion of smoke plumes as measured by satellite observations. Using NOAA HYSPLIT and GOES Aerosol/Smoke Product (GASP), the system resolves smoke source strength as a function of time and vertical level and outperforms current operational system.
Smoke forecasts have been challenged by high uncertainty in fire emission estimates. We develop...
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