Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10259–10277, 2020
https://doi.org/10.5194/acp-20-10259-2020
Atmos. Chem. Phys., 20, 10259–10277, 2020
https://doi.org/10.5194/acp-20-10259-2020

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.

Related authors

Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity
Hyun Cheol Kim, Soontae Kim, Mark Cohen, Changhan Bae, Dasom Lee, Rick Saylor, Minah Bae, Eunhye Kim, Byeong-Uk Kim, Jin-Ho Yoon, and Ariel Stein
Atmos. Chem. Phys., 21, 10065–10080, https://doi.org/10.5194/acp-21-10065-2021,https://doi.org/10.5194/acp-21-10065-2021, 2021
Short summary
Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign
Li Pan, HyunCheol Kim, Pius Lee, Rick Saylor, YouHua Tang, Daniel Tong, Barry Baker, Shobha Kondragunta, Chuanyu Xu, Mark G. Ruminski, Weiwei Chen, Jeff Mcqueen, and Ivanka Stajner
Geosci. Model Dev., 13, 2169–2184, https://doi.org/10.5194/gmd-13-2169-2020,https://doi.org/10.5194/gmd-13-2169-2020, 2020
Short summary
A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods
Youhua Tang, Mariusz Pagowski, Tianfeng Chai, Li Pan, Pius Lee, Barry Baker, Rajesh Kumar, Luca Delle Monache, Daniel Tong, and Hyun-Cheol Kim
Geosci. Model Dev., 10, 4743–4758, https://doi.org/10.5194/gmd-10-4743-2017,https://doi.org/10.5194/gmd-10-4743-2017, 2017
Short summary
Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign
Li Pan, Hyun Cheol Kim, Pius Lee, Rick Saylor, YouHua Tang, Daniel Tong, Barry Baker, Shobha Kondragunta, Chuanyu Xu, Mark G. Ruminski, Weiwei Chen, Jeff Mcqueen, and Ivanka Stajner
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-207,https://doi.org/10.5194/gmd-2017-207, 2017
Revised manuscript not accepted
Short summary
Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emissions inventory
Hyun Cheol Kim, Eunhye Kim, Changhan Bae, Jeong Hoon Cho, Byeong-Uk Kim, and Soontae Kim
Atmos. Chem. Phys., 17, 10315–10332, https://doi.org/10.5194/acp-17-10315-2017,https://doi.org/10.5194/acp-17-10315-2017, 2017
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
A comprehensive observation-based multiphase chemical model analysis of sulfur dioxide oxidations in both summer and winter
Huan Song, Keding Lu, Can Ye, Huabin Dong, Shule Li, Shiyi Chen, Zhijun Wu, Mei Zheng, Limin Zeng, Min Hu, and Yuanhang Zhang
Atmos. Chem. Phys., 21, 13713–13727, https://doi.org/10.5194/acp-21-13713-2021,https://doi.org/10.5194/acp-21-13713-2021, 2021
Short summary
Predicting gas–particle partitioning coefficients of atmospheric molecules with machine learning
Emma Lumiaro, Milica Todorović, Theo Kurten, Hanna Vehkamäki, and Patrick Rinke
Atmos. Chem. Phys., 21, 13227–13246, https://doi.org/10.5194/acp-21-13227-2021,https://doi.org/10.5194/acp-21-13227-2021, 2021
Short summary
Development of a new emission reallocation method for industrial sources in China
Yun Fat Lam, Chi Chiu Cheung, Xuguo Zhang, Joshua S. Fu, and Jimmy Chi Hung Fung
Atmos. Chem. Phys., 21, 12895–12908, https://doi.org/10.5194/acp-21-12895-2021,https://doi.org/10.5194/acp-21-12895-2021, 2021
Short summary
Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region
Camilla Geels, Morten Winther, Camilla Andersson, Jukka-Pekka Jalkanen, Jørgen Brandt, Lise M. Frohn, Ulas Im, Wing Leung, and Jesper H. Christensen
Atmos. Chem. Phys., 21, 12495–12519, https://doi.org/10.5194/acp-21-12495-2021,https://doi.org/10.5194/acp-21-12495-2021, 2021
Short summary
A predictive model for salt nanoparticle formation using heterodimer stability calculations
Sabrina Chee, Kelley Barsanti, James N. Smith, and Nanna Myllys
Atmos. Chem. Phys., 21, 11637–11654, https://doi.org/10.5194/acp-21-11637-2021,https://doi.org/10.5194/acp-21-11637-2021, 2021
Short summary

Cited articles

Ahmadov, R., Grell, G., James, E., Csiszar, I., Tsidulko, M., Pierce, B., McKeen, S., Benjamin, S., Alexander, C., Pereira, G., Freitas, S., and Goldberg, M.: Using VIIRS fire radiative power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system, in: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23–28 July 2017, Fort Worth, TX, USA, 2806–2808, 2017. 
Andreae, M. O.: Emission of trace gases and aerosols from biomass burning – An updated assessment, Atmos. Chem. Phys., 19, 8523–8546, https://doi.org/10.5194/acp-19-8523-2019, 2019. 
Arya, S. P.: Air Pollution Meteorology and Dispersion, Oxford University Press, Oxford, 1998. 
Boichu, M., Clarisse, L., Khvorostyanov, D., and Clerbaux, C.: Improving volcanic sulfur dioxide cloud dispersal forecasts by progressive assimilation of satellite observations, Geophys. Res. Lett., 41, 2637–2643, https://doi.org/10.1002/2014GL059496, 2014. 
Download
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.
Altmetrics
Final-revised paper
Preprint