Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-2663-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-2663-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
13 Nov 2014
Development and technical paper |
| 13 Nov 2014
Applicability of an integrated plume rise model for the dispersion from wild-land fires
J. Kukkonen
CORRESPONDING AUTHOR
Finnish Meteorological Institute, Erik Palménin aukio 1, 00101, Helsinki, Finland
J. Nikmo
Finnish Meteorological Institute, Erik Palménin aukio 1, 00101, Helsinki, Finland
M. Sofiev
Finnish Meteorological Institute, Erik Palménin aukio 1, 00101, Helsinki, Finland
K. Riikonen
Finnish Meteorological Institute, Erik Palménin aukio 1, 00101, Helsinki, Finland
T. Petäjä
Department of Physics, University of Helsinki, 00014, Helsinki, Finland
A. Virkkula
Finnish Meteorological Institute, Erik Palménin aukio 1, 00101, Helsinki, Finland
Department of Physics, University of Helsinki, 00014, Helsinki, Finland
J. Levula
Hyytiälä Forestry Field Station, University of Helsinki, 35500, Korkeakoski, Finland
S. Schobesberger
Department of Physics, University of Helsinki, 00014, Helsinki, Finland
D. M. Webber
Integral Science and Software Ltd, 484 Warrington Rd, Culcheth, Warrington WA3 5RA, UK
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Cited
14 citations as recorded by crossref.
- Dispersion modeling of thermal power plant emissions on stochastic space J. Gorle & N. Sambana https://doi.org/10.1007/s00704-015-1483-1
- Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. https://doi.org/10.5194/acp-15-7155-2015
- An improved version of the consequence analysis model for chemical emergencies, ESCAPE J. Kukkonen et al. https://doi.org/10.1016/j.atmosenv.2016.11.050
- Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean M. Ooi et al. https://doi.org/10.5194/acp-21-12521-2021
- Downscaling of Regional Air Quality Model Using Gaussian Plume Model and Random Forest Regression M. Kawka et al. https://doi.org/10.3390/atmos14071171
- Smoke Injection Heights from Forest and Grassland Fires in Southwest China Observed by CALIPSO W. Wang et al. https://doi.org/10.3390/f13030390
- A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. https://doi.org/10.3390/rs10101609
- Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. https://doi.org/10.3389/fenvs.2022.954045
- Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. https://doi.org/10.5194/acp-17-2921-2017
- Development, evaluation, and implementation of building downwash and plume rise enhancements in AERMOD R. Petersen et al. https://doi.org/10.1080/10962247.2022.2120563
- A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models R. Paugam et al. https://doi.org/10.5194/acp-16-907-2016
- An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. https://doi.org/10.5194/gmd-15-4027-2022
- Simulation study of radionuclide atmospheric transport after wildland fires in the Chernobyl Exclusion Zone in April 2020 M. Таlerko et al. https://doi.org/10.1016/j.apr.2021.01.010
- Impacts of Sugarcane Fires on Air Quality and Public Health in South Florida H. Nowell et al. https://doi.org/10.1289/EHP9957
14 citations as recorded by crossref.
- Dispersion modeling of thermal power plant emissions on stochastic space J. Gorle & N. Sambana https://doi.org/10.1007/s00704-015-1483-1
- Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. https://doi.org/10.5194/acp-15-7155-2015
- An improved version of the consequence analysis model for chemical emergencies, ESCAPE J. Kukkonen et al. https://doi.org/10.1016/j.atmosenv.2016.11.050
- Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean M. Ooi et al. https://doi.org/10.5194/acp-21-12521-2021
- Downscaling of Regional Air Quality Model Using Gaussian Plume Model and Random Forest Regression M. Kawka et al. https://doi.org/10.3390/atmos14071171
- Smoke Injection Heights from Forest and Grassland Fires in Southwest China Observed by CALIPSO W. Wang et al. https://doi.org/10.3390/f13030390
- A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. https://doi.org/10.3390/rs10101609
- Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. https://doi.org/10.3389/fenvs.2022.954045
- Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. https://doi.org/10.5194/acp-17-2921-2017
- Development, evaluation, and implementation of building downwash and plume rise enhancements in AERMOD R. Petersen et al. https://doi.org/10.1080/10962247.2022.2120563
- A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models R. Paugam et al. https://doi.org/10.5194/acp-16-907-2016
- An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. https://doi.org/10.5194/gmd-15-4027-2022
- Simulation study of radionuclide atmospheric transport after wildland fires in the Chernobyl Exclusion Zone in April 2020 M. Таlerko et al. https://doi.org/10.1016/j.apr.2021.01.010
- Impacts of Sugarcane Fires on Air Quality and Public Health in South Florida H. Nowell et al. https://doi.org/10.1289/EHP9957
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