Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3283-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-3283-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
26 Jul 2019
Model description paper |
| 26 Jul 2019
| 26 Jul 2019
The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03
Air Quality Research Division, Environment and Climate Change
Canada, Ontario, Canada
Kerry Anderson
Canadian Forest Service, Natural Resources Canada, Alberta, Canada
retired
Radenko Pavlovic
Air Quality Modelling Applications Section, Environment and Climate
Change Canada, Quebec, Canada
Michael D. Moran
Air Quality Research Division, Environment and Climate Change
Canada, Ontario, Canada
Peter Englefield
Canadian Forest Service, Natural Resources Canada, Alberta, Canada
Dan K. Thompson
Canadian Forest Service, Natural Resources Canada, Alberta, Canada
Rodrigo Munoz-Alpizar
Air Quality Modelling Applications Section, Environment and Climate
Change Canada, Quebec, Canada
Hugo Landry
Air Quality Modelling Applications Section, Environment and Climate
Change Canada, Quebec, Canada
Viewed
Total article views: 3,496 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Mar 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,310 | 1,142 | 44 | 3,496 | 356 | 60 | 59 |
- HTML: 2,310
- PDF: 1,142
- XML: 44
- Total: 3,496
- Supplement: 356
- BibTeX: 60
- EndNote: 59
Total article views: 2,903 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jul 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,041 | 821 | 41 | 2,903 | 203 | 53 | 55 |
- HTML: 2,041
- PDF: 821
- XML: 41
- Total: 2,903
- Supplement: 203
- BibTeX: 53
- EndNote: 55
Total article views: 593 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Mar 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 269 | 321 | 3 | 593 | 153 | 7 | 4 |
- HTML: 269
- PDF: 321
- XML: 3
- Total: 593
- Supplement: 153
- BibTeX: 7
- EndNote: 4
Viewed (geographical distribution)
Total article views: 3,496 (including HTML, PDF, and XML)
Thereof 3,138 with geography defined
and 358 with unknown origin.
Total article views: 2,903 (including HTML, PDF, and XML)
Thereof 2,655 with geography defined
and 248 with unknown origin.
Total article views: 593 (including HTML, PDF, and XML)
Thereof 483 with geography defined
and 110 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
28 citations as recorded by crossref.
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- The Canadian Optimized Statistical Smoke Exposure Model (Canossem): A Machine Learning Approach to Estimate National Daily Fine Particulate Matter (Pm2.5) Exposure N. Paul et al. 10.2139/ssrn.4098551
- The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights D. Griffin et al. 10.5194/amt-13-1427-2020
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Ammonia measurements from space with the Cross-track Infrared Sounder: characteristics and applications M. Shephard et al. 10.5194/acp-20-2277-2020
- Wildfire smoke-plume rise: a simple energy balance parameterization N. Moisseeva & R. Stull 10.5194/acp-21-1407-2021
- Development of the User Requirements for the Canadian WildFireSat Satellite Mission J. Johnston et al. 10.3390/s20185081
- Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
- A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria D. Thompson & K. Morrison 10.5194/nhess-20-3439-2020
- Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. 10.5194/amt-14-7929-2021
- Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
- Air Quality Data Approach for Defining Wildfire Influence: Impacts on PM2.5, NO2, CO, and O3 in Western Canadian Cities S. Schneider et al. 10.1021/acs.est.1c04042
- Prediction of Forest Fire Spread Rate Using UAV Images and an LSTM Model Considering the Interaction between Fire and Wind X. Li et al. 10.3390/rs13214325
- Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S. X. Ye et al. 10.1029/2022JD036808
- Operational Evaluation of a Wildfire Air Quality Model from a Forecaster Point of View B. Ainslie et al. 10.1175/WAF-D-21-0064.1
- A Bi-Spectral Microbolometer Sensor for Wildfire Measurement D. Dufour et al. 10.3390/s21113690
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM2.5) exposure N. Paul et al. 10.1016/j.scitotenv.2022.157956
- Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles C. Stamatis & K. Barsanti 10.5194/amt-15-2591-2022
- Mapping wildfire hazard, vulnerability, and risk to Canadian communities S. Erni et al. 10.1016/j.ijdrr.2023.104221
- Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. 10.1016/j.rse.2022.113101
- 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
- Isolating the impact of COVID-19 lockdown measures on urban air quality in Canada R. Mashayekhi et al. 10.1007/s11869-021-01039-1
- Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season S. Henderson et al. 10.3389/fpubh.2021.499309
- Reconciling the total carbon budget for boreal forest wildfire emissions using airborne observations K. Hayden et al. 10.5194/acp-22-12493-2022
- Satellite Monitoring for Air Quality and Health T. Holloway et al. 10.1146/annurev-biodatasci-110920-093120
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals M. Sitwell et al. 10.5194/acp-22-6595-2022
28 citations as recorded by crossref.
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- The Canadian Optimized Statistical Smoke Exposure Model (Canossem): A Machine Learning Approach to Estimate National Daily Fine Particulate Matter (Pm2.5) Exposure N. Paul et al. 10.2139/ssrn.4098551
- The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights D. Griffin et al. 10.5194/amt-13-1427-2020
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Ammonia measurements from space with the Cross-track Infrared Sounder: characteristics and applications M. Shephard et al. 10.5194/acp-20-2277-2020
- Wildfire smoke-plume rise: a simple energy balance parameterization N. Moisseeva & R. Stull 10.5194/acp-21-1407-2021
- Development of the User Requirements for the Canadian WildFireSat Satellite Mission J. Johnston et al. 10.3390/s20185081
- Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
- A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria D. Thompson & K. Morrison 10.5194/nhess-20-3439-2020
- Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. 10.5194/amt-14-7929-2021
- Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
- Air Quality Data Approach for Defining Wildfire Influence: Impacts on PM2.5, NO2, CO, and O3 in Western Canadian Cities S. Schneider et al. 10.1021/acs.est.1c04042
- Prediction of Forest Fire Spread Rate Using UAV Images and an LSTM Model Considering the Interaction between Fire and Wind X. Li et al. 10.3390/rs13214325
- Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S. X. Ye et al. 10.1029/2022JD036808
- Operational Evaluation of a Wildfire Air Quality Model from a Forecaster Point of View B. Ainslie et al. 10.1175/WAF-D-21-0064.1
- A Bi-Spectral Microbolometer Sensor for Wildfire Measurement D. Dufour et al. 10.3390/s21113690
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM2.5) exposure N. Paul et al. 10.1016/j.scitotenv.2022.157956
- Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles C. Stamatis & K. Barsanti 10.5194/amt-15-2591-2022
- Mapping wildfire hazard, vulnerability, and risk to Canadian communities S. Erni et al. 10.1016/j.ijdrr.2023.104221
- Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. 10.1016/j.rse.2022.113101
- 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
- Isolating the impact of COVID-19 lockdown measures on urban air quality in Canada R. Mashayekhi et al. 10.1007/s11869-021-01039-1
- Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season S. Henderson et al. 10.3389/fpubh.2021.499309
- Reconciling the total carbon budget for boreal forest wildfire emissions using airborne observations K. Hayden et al. 10.5194/acp-22-12493-2022
- Satellite Monitoring for Air Quality and Health T. Holloway et al. 10.1146/annurev-biodatasci-110920-093120
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals M. Sitwell et al. 10.5194/acp-22-6595-2022
Latest update: 25 Apr 2024
Short summary
Emissions from wildland fires can cause significant impacts on regional air quality. We introduce the Canadian Forest Fire Emissions Prediction System and demonstrate its integration with Canada's FireWork operational air quality forecast system with biomass burning emissions. The coupled system shows improved skill in providing short-term, 48 h forecasts of surface air pollutant concentrations (PM2.5, O3, and NO2) from the impacts of regional wildland fires across the North American domain.
Emissions from wildland fires can cause significant impacts on regional air quality. We...
