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ACP | Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10259–10277, 2020
https://doi.org/10.5194/acp-20-10259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 10259–10277, 2020
https://doi.org/10.5194/acp-20-10259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Sep 2020

Research article | 04 Sep 2020

Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations

Hyun Cheol Kim et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (09 Jul 2020)  Author's response
ED: Publish as is (14 Jul 2020) by Joshua Fu
AR by hyuncheol kim on behalf of the Authors (21 Jul 2020)  Author's response    Manuscript
Publications Copernicus
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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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