Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-6289-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-6289-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Nov 2018
Research article |
| 21 Nov 2018
| 21 Nov 2018
The impact of MISR-derived injection height initialization on wildfire and volcanic plume dispersion in the HYSPLIT model
Charles J. Vernon
CORRESPONDING AUTHOR
Atmospheric and Oceanic Science Department, University of Maryland,
College Park, MD 20742, USA
Ryan Bolt
Atmospheric and Oceanic Science Department, University of Maryland,
College Park, MD 20742, USA
Timothy Canty
Atmospheric and Oceanic Science Department, University of Maryland,
College Park, MD 20742, USA
Ralph A. Kahn
NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD
20771, USA
Atmospheric and Oceanic Science Department, University of Maryland,
College Park, MD 20742, USA
Viewed
Total article views: 2,814 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 May 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,855 | 889 | 70 | 2,814 | 354 | 85 | 84 |
- HTML: 1,855
- PDF: 889
- XML: 70
- Total: 2,814
- Supplement: 354
- BibTeX: 85
- EndNote: 84
Total article views: 2,265 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Nov 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,561 | 644 | 60 | 2,265 | 226 | 76 | 75 |
- HTML: 1,561
- PDF: 644
- XML: 60
- Total: 2,265
- Supplement: 226
- BibTeX: 76
- EndNote: 75
Total article views: 549 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 May 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 294 | 245 | 10 | 549 | 128 | 9 | 9 |
- HTML: 294
- PDF: 245
- XML: 10
- Total: 549
- Supplement: 128
- BibTeX: 9
- EndNote: 9
Viewed (geographical distribution)
Total article views: 2,814 (including HTML, PDF, and XML)
Thereof 2,651 with geography defined
and 163 with unknown origin.
Total article views: 2,265 (including HTML, PDF, and XML)
Thereof 2,120 with geography defined
and 145 with unknown origin.
Total article views: 549 (including HTML, PDF, and XML)
Thereof 531 with geography defined
and 18 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
21 citations as recorded by crossref.
- Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations Y. Yang et al. 10.5194/acp-21-4849-2021
- Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging K. Junghenn Noyes et al. 10.3390/rs12050769
- Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. 10.1029/2021GL094908
- Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations K. Junghenn Noyes et al. 10.5194/acp-22-10267-2022
- Biomass-burning smoke heights over the Amazon observed from space L. Gonzalez-Alonso et al. 10.5194/acp-19-1685-2019
- AQI multi-point spatiotemporal prediction based on K-mean clustering and RNN-LSTM model J. Zhu et al. 10.1088/1742-6596/2006/1/012022
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. 10.1029/2023JD038523
- Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- Simulating spatio-temporal dynamics of surface PM2.5 emitted from Alaskan wildfires D. Chen et al. 10.1016/j.scitotenv.2023.165594
- Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
- The Relationship Between MAIAC Smoke Plume Heights and Surface PM M. Cheeseman et al. 10.1029/2020GL088949
- Columnar optical-radiative properties and components of aerosols in the Arctic summer from long-term AERONET measurements Y. Liang et al. 10.1016/j.scitotenv.2023.169052
- Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. 10.3390/rs12223823
- Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP S. Wang et al. 10.1016/j.atmosres.2024.107400
- Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations V. Flower & R. Kahn 10.1016/j.rse.2019.111585
- Global Wildfire Plume‐Rise Data Set and Parameterizations for Climate Model Applications Z. Ke et al. 10.1029/2020JD033085
- Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev) Y. Li et al. 10.5194/acp-23-3083-2023
- Development and implementation of a new biomass burning emissions injection height scheme (BBEIH v1.0) for the GEOS-Chem model (v9-01-01) L. Zhu et al. 10.5194/gmd-11-4103-2018
20 citations as recorded by crossref.
- Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations Y. Yang et al. 10.5194/acp-21-4849-2021
- Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging K. Junghenn Noyes et al. 10.3390/rs12050769
- Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. 10.1029/2021GL094908
- Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations K. Junghenn Noyes et al. 10.5194/acp-22-10267-2022
- Biomass-burning smoke heights over the Amazon observed from space L. Gonzalez-Alonso et al. 10.5194/acp-19-1685-2019
- AQI multi-point spatiotemporal prediction based on K-mean clustering and RNN-LSTM model J. Zhu et al. 10.1088/1742-6596/2006/1/012022
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. 10.1029/2023JD038523
- Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- Simulating spatio-temporal dynamics of surface PM2.5 emitted from Alaskan wildfires D. Chen et al. 10.1016/j.scitotenv.2023.165594
- Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
- The Relationship Between MAIAC Smoke Plume Heights and Surface PM M. Cheeseman et al. 10.1029/2020GL088949
- Columnar optical-radiative properties and components of aerosols in the Arctic summer from long-term AERONET measurements Y. Liang et al. 10.1016/j.scitotenv.2023.169052
- Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. 10.3390/rs12223823
- Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP S. Wang et al. 10.1016/j.atmosres.2024.107400
- Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations V. Flower & R. Kahn 10.1016/j.rse.2019.111585
- Global Wildfire Plume‐Rise Data Set and Parameterizations for Climate Model Applications Z. Ke et al. 10.1029/2020JD033085
- Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev) Y. Li et al. 10.5194/acp-23-3083-2023
Latest update: 16 Jul 2024
Short summary
The height that aerosols are injected into the atmosphere can significantly impact the dispersion of aerosol plumes. We use direct observations from the MISR instrument to determine aerosol injection height and constrain the HYSPLIT Dispersion model with these data. We have shown that the nominal plume-rise calculation within HYSPLIT tends to underestimate injection heights of wildfires and that simulations constrained with MISR injection height can show better agreement with MODIS observations.
The height that aerosols are injected into the atmosphere can significantly impact the...
