Publications Details for:

Dynamic Management of Prescribed Burning for Better Air Quality
Grant Number R835217
RFA: Dynamic Air Quality Management (2011)
Article/Press Release (1)
Book Chapter (2)
Journal Article (4)
Presentation (12)
Reference Type Citation Progress Report Year Document Sources
Article/Press Release Odman MT, Hu Y, Garcia‐Menendez F, Davis AY, Chang ME, Russell AG. Fires and air quality forecasts: past, present and future. EM Magazine 2013;(November):12‐22. R835217 (2012)
R835217 (2013)
R835217 (Final)
Book Chapter Odman MT, Pophale AA, Sakhpara RD, Hu Y, Russell AG, Chang ME. Source-impact forecasting for dynamic air quality management: application to prescribed burn management. In: Steyn DG, Chaumerliac N, eds. Air Pollution Modeling and Its Application XXIV. Switzerland: Springer International Publishing, 2016, Chapter 93, pp. 575-579. R835217 (2014)
R835217 (2015)
R835217 (Final)
Book Chapter Odman MT, Hu Y, Garcia-Menendz F. Atmospheric plume modeling with a three-dimensional refinement adaptive grid method. In: Steyn DG, Chaumerliac N, eds. Air Pollution Modeling and Its Application XXIV. Switzerland: Springer International Publishing, 2016, Chapter 67, pp. 409-413. R835217 (Final)
Journal Article Davis AY, Ottmar R, Liu Y, Goodrick S, Achtemeier G, Gullett B, Aurell J, Stevens W, Greenwald R, Hu Y, Russell A, Hiers JK, Odman MT. Fire emission uncertainties and their effect on smoke dispersion predictions:a case study at Eglin Air Force Base, Florida, USA. International Journal of Wildland Fire 2015;24(2):276-285. R835217 (2012)
R835217 (2013)
R835217 (2014)
R835217 (Final)
Journal Article Garcia-Menendez F, Hu Y, Odman MT. Simulating smoke transport from wildland fires with a regional-scale air quality model: sensitivity to uncertain wind fields. Journal of Geophysical Research–Atmospheres 2013;118(12):6493-6504. R835217 (2012)
R835217 (Final)
Journal Article Garcia‐Menendez F, Hu Y, Odman MT. Simulating smoke transport from wildland fires with a regional‐scale air quality model: sensitivity to spatiotemporal allocation of fire emissions. Science of The Total Environment 2014;493:544‐553. R835217 (2013)
R835217 (Final)
Journal Article Hu Y, Odman MT, Chang ME, Russell AG. Operational forecasting of source impacts for dynamic air quality management. Atmospheric Environment 2015;116:320-322. R833866 (Final)
R834799 (2015)
R834799 (2016)
R834799 (Final)
R835217 (2014)
R835217 (Final)
Presentation Odman MT, Yano A, Garcia‐Menendez F, Hu Y, Russell AG. Comparison of bottom‐up and satellite‐based emission estimates in a prescribed burn: evaluation with airborne smoke measurements. Presented at the 18th American Meteorological Society (AMS) and Air & Waste Management Association (A&WMA) Joint Conference on the Applications of Air Pollution Meteorology, Atlanta GA, February 2-6, 2014. R835217 (2013)
R835217 (Final)
Presentation Odman MT. Predicting smoke impacts with uncertain emissions and meteorology. Webinar presented via the FireScience.Gov Smoke Science Webinar Series, March 4, 2014. R835217 (2013)
R835217 (Final)
Presentation Odman MT, Hu Y, Russell AG. Interactions of wildland fire emissions with power plant and traffic emissions in Southeastern US. Presented at the American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 14-18, 2015. R835217 (2015)
R835217 (Final)
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Presentation Odman MT, Pophale AA, Sakhpara RD, Hu YT, Russell AG, Chang ME. Source-impact forecasting for dynamic air quality management: application to prescribed burn management. Presented at the 34th International Technical Meeting (ITM) on Air Pollution Modelling and its Application, Montpellier, France, May 4-8, 2015. R835217 (2014)
R835217 (Final)
not available
Presentation Odman MT, Pophale AA, Hu Y, Russell AG. Top-down and bottom-up emissions forecasting for dynamic air quality management. Presented at the 7th International Workshop for Air Quality Forecasting Research, College Park, MD, September 1-3, 2015. R835217 (2015)
R835217 (Final)
not available
Presentation Odman MT. Modeling the air quality impacts of prescribed burns: sensitivities to emissions and meteorology. Presented at the UC Davis Air Quality Research Center Conference on Meteorology and Climate Modeling for Air Quality (MAC-MAQ), Sacramento, CA, September 16-18, 2015. R835217 (2015)
R835217 (Final)
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Presentation Odman MT, Y Hu, Russell AG. Determining the uncertainties in prescribed burn emissions through comparison of satellite estimates to ground-based estimates and air quality model evaluations in southeastern USA. Presented at the American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 12-16, 2016. R835217 (Final)
not available
Presentation Odman MT, Pophale AA, Hu Y, Russell AG. Top-down and bottom-up emission estimations for air quality impact forecasting: a first step to dynamic management of prescribed fires. Presented at the 19th Joint Conference on the Applications of Air Pollution Meteorology with the Air & Waste Management Association (A&WMA), New Orleans, LA, January 11-14, 2016. R835217 (2015)
R835217 (Final)
Presentation Odman MT. Dynamic management of prescribed burning for better air quality. Presented at the U.S. EPA STAR Program Dynamic Air Quality Management Progress Review Webinar, March 31, 2016. R835217 (2015)
R835217 (Final)
not available
Presentation Odman MT, Pophale AA, Hu Y. Forecasting the air quality impacts of prescribed burns: a step towards dynamic management. Presented at the 2nd International Smoke Symposium, Long Beach, CA, November 14-17, 2016. R835217 (Final)
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Presentation Odman MT. Modeling the impacts of prescribed burns for dynamic air quality management. Presented at the 15th Annual Community Modeling and Analysis System (CMAS) Conference, Chapel Hill, NC, October 24-26, 2016. R835217 (Final)
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Presentation Pophale AA, Odman MT, Hu Y, Chang ME, Russell AG. Forecasting the impacts of prescribed burns for dynamic air quality management. Presented at the 14th Annual Community Modeling and Analysis System (CMAS) Conference, Chapel Hill, NC, October 5-7, 2015. R835217 (2015)
R835217 (Final)
not available