Articles | Volume 17, issue 10
https://doi.org/10.5194/acp-17-6423-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-6423-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 May 2017
Research article |
| 30 May 2017
Particulate emissions from large North American wildfires estimated using a new top-down method
Tadas Nikonovas
CORRESPONDING AUTHOR
Geography Department, College of Science, Swansea University, Singleton
Park, Swansea, SA2 8PP, UK
Peter R. J. North
Geography Department, College of Science, Swansea University, Singleton
Park, Swansea, SA2 8PP, UK
Stefan H. Doerr
Geography Department, College of Science, Swansea University, Singleton
Park, Swansea, SA2 8PP, UK
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21 citations as recorded by crossref.
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- Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. 10.1029/2021JD035692
- Brown Carbon Emissions from Biomass Burning under Simulated Wildfire and Prescribed-Fire Conditions C. Glenn et al. 10.1021/acsestair.4c00089
- Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. 10.1029/2018JG004974
- Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. 10.5194/acp-20-10259-2020
- Lidar observations of pyrocumulonimbus smoke plumes in the UTLS over Tomsk (Western Siberia, Russia) from 2000 to 2017 V. Zuev et al. 10.5194/acp-19-3341-2019
- Estimates of reactive trace gases (NMVOCs, CO and NOx) and their ozone forming potentials during forest fire over Southern Himalayan region A. Kumar et al. 10.1016/j.atmosres.2019.04.028
- The Relevance of Pyrogenic Carbon for Carbon Budgets From Fires: Insights From the FIREX Experiment C. Santin et al. 10.1029/2020GB006647
- Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. 10.1002/2017JD027415
- Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. 10.1016/j.solener.2022.01.061
- Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke D. Peterson et al. 10.1038/s41612-018-0039-3
- Biomass burning aerosol characteristics for different vegetation types in different aging periods S. Shi et al. 10.1016/j.envint.2019.02.073
- Long-term changes in aerosol radiative properties over Ny-Ålesund: Results from Indian scientific expeditions to the Arctic M. Gogoi et al. 10.1016/j.polar.2021.100700
- Calibration of cloud and aerosol related parameters for solar irradiance forecasts in WRF-solar Y. Liu et al. 10.1016/j.solener.2022.05.064
- Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission X. Ye et al. 10.1016/j.scitotenv.2022.161055
- Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al. 10.3389/feart.2024.1320170
- Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach M. García et al. 10.1016/j.rse.2020.111893
- Emission inventory processing of biomass burning from a global dataset for air quality modeling E. Pino-Cortés et al. 10.1007/s11869-021-01129-0
- Morphochemical characteristics and mixing state of long range transported wildfire particles at Ny-Ålesund (Svalbard Islands) B. Moroni et al. 10.1016/j.atmosenv.2017.02.037
- Individual Particle Characteristics, Optical Properties and Evolution of an Extreme Long‐Range Transported Biomass Burning Event in the European Arctic (Ny‐Ålesund, Svalbard Islands) B. Moroni et al. 10.1029/2019JD031535
19 citations as recorded by crossref.
- Probing the dynamic characteristics of aerosol originated from South Asia biomass burning using POLDER/GRASP satellite data with relevant accessory technique design S. Shi et al. 10.1016/j.envint.2020.106097
- Traces of Canadian Pyrocumulonimbus Clouds in the Stratosphere over Tomsk in June-July, 1991 V. Gerasimov et al. 10.1134/S1024856019030096
- Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. 10.1029/2021JD035692
- Brown Carbon Emissions from Biomass Burning under Simulated Wildfire and Prescribed-Fire Conditions C. Glenn et al. 10.1021/acsestair.4c00089
- Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. 10.1029/2018JG004974
- Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. 10.5194/acp-20-10259-2020
- Lidar observations of pyrocumulonimbus smoke plumes in the UTLS over Tomsk (Western Siberia, Russia) from 2000 to 2017 V. Zuev et al. 10.5194/acp-19-3341-2019
- Estimates of reactive trace gases (NMVOCs, CO and NOx) and their ozone forming potentials during forest fire over Southern Himalayan region A. Kumar et al. 10.1016/j.atmosres.2019.04.028
- The Relevance of Pyrogenic Carbon for Carbon Budgets From Fires: Insights From the FIREX Experiment C. Santin et al. 10.1029/2020GB006647
- Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. 10.1002/2017JD027415
- Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. 10.1016/j.solener.2022.01.061
- Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke D. Peterson et al. 10.1038/s41612-018-0039-3
- Biomass burning aerosol characteristics for different vegetation types in different aging periods S. Shi et al. 10.1016/j.envint.2019.02.073
- Long-term changes in aerosol radiative properties over Ny-Ålesund: Results from Indian scientific expeditions to the Arctic M. Gogoi et al. 10.1016/j.polar.2021.100700
- Calibration of cloud and aerosol related parameters for solar irradiance forecasts in WRF-solar Y. Liu et al. 10.1016/j.solener.2022.05.064
- Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission X. Ye et al. 10.1016/j.scitotenv.2022.161055
- Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al. 10.3389/feart.2024.1320170
- Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach M. García et al. 10.1016/j.rse.2020.111893
- Emission inventory processing of biomass burning from a global dataset for air quality modeling E. Pino-Cortés et al. 10.1007/s11869-021-01129-0
2 citations as recorded by crossref.
- Morphochemical characteristics and mixing state of long range transported wildfire particles at Ny-Ålesund (Svalbard Islands) B. Moroni et al. 10.1016/j.atmosenv.2017.02.037
- Individual Particle Characteristics, Optical Properties and Evolution of an Extreme Long‐Range Transported Biomass Burning Event in the European Arctic (Ny‐Ålesund, Svalbard Islands) B. Moroni et al. 10.1029/2019JD031535
Latest update: 23 Nov 2024
Short summary
The study presents a new method for estimating particulate matter emissions from large wildfires. The method relies solely on satellite observations of fire activity and particles suspended in the atmosphere. The results indicate that temperate and boreal forest fires in North America emit similar amounts of particles per unit of fire radiative power. The findings differ from estimates by modelling studies which suggest much larger emissions for boreal events compared to temperate fires.
The study presents a new method for estimating particulate matter emissions from large...
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