Yongqiang LiuResearch Meteorologist / Leader, Atmospheric Science Team
Athens, GA 30602-2044
Future wildfire trends under changing climate Climate models have projected significant climate change for this century due to the greenhouse effect, including an overall increase in temperature worldwide and a drying trend in some regions. Thus, it is likely that wildfire would increase in many regions. Meanwhile, the warming and drying trends would increase safety risk for prescribed fire. This study understands climate-fire relationships and projects future wildfires for the development of mitigation strategies. The objectives include understanding fire-weather relationships based on historical data, developing fire projection models using statistical and dynamical tools, and projecting future global, regional, and local wildfire trends, the impacts of changing fire and fuel conditions on fire emissions and smoke transport, and prescribed fire safety risk and windows.
Seasonal wildfire variability Wildfire activity of a fire season varies dramatically from one year to another. Seasonal prediction of wildfires is needed for fire management to plan and implement fire prevention and mitigation. This study investigates atmosphere-wildfire interactions to improve seasonal prediction skills of regional and global wildfires. The objectives include identifying atmospheric factors for seasonal wildfire variability, understanding the local and remote impacts of atmospheric circulation patterns and ocean conditions on wildfires, and developing and applying seasonal wildfire prediction models.
Smoke dynamics Smoke plume dynamic science focuses on understanding the various smoke processes that control the movement and mixing of smoke. An improved scientific understanding of smoke plume dynamics will allow for more accurate assessments and predictions of the fate and impacts of wildland fire emissions. This study is focused on smoke plume rise, the height of smoke plume. This property determines how far smoke can be transported to affect air quality in downwind direction and is required as an initial condition in many regional air quality models. The objectives include measuring smoke plumes from experimental fires in the Southeast and other US regions, developing smoke plume rise models, and simulating and predicting smoke plume processes and interactions with the atmosphere, fire behavior, and fuel.
Air quality and human health impacts of smoke Wildfires emit large amounts of pollutant particles and gases. Fire emissions accounted for approximately one-third of the total emissions of PM2.5 in the US. The fire emissions of O3 precursors such as volatile organic compounds and NOx can elevate tropospheric O3 level. PM2.5 and O3 pose severe threats to air quality and human health and are two of the air pollutants subject to the US Environmental Protection Agency’s National Ambient Air Quality Standards. This study estimates emissions from wildfires and prescribed fires in the Southeast and the CONUS and evaluates the air quality and human health impacts. The objectives include developing fire detection algorithms, measuring fuel conditions, estimating fire emissions, developing regional air quality modeling tools, and simulating the local and regional air quality and human health impacts of wildland fires.
My research is focused on climate-forest ecosystem interactions. It is aimed at understanding forest disturbances (wildfire, land cover change, and forest water stress), their interactions with climate variability and climate change, and the environmental consequences. The combined approach of field measurements, numerical modeing, and theoretical and statistical analyses is used to investigate the processes, mechanisms, and impascts of the disturbances and to develop evaluation and prediction techniques. This research is expected to help strategy development and implementation to reduce forest vulnerability to forest disturbances and their adverse environmental impacts.
Roles of wildfire in climate and hydrological variability This study simulated radiative and climatic responses to biomass burning in the Amazon region, simulated the climate impacts of the 1988 Yellowstone wildfires, developed a theoretical model based on atmospheric fluid dynamics to investigate interactions between wildfires and the Santa Ana winds, detected fire induced vegetation changes in the US, and analyzed impacts of wildland fires on water resources in the CONUS. The results show that wildfires can feedback climate by modifying surface water and heat fluxes and increasing atmospheric stability, and delaying monsoon onset, the 1988 Yellowstone wildfires could have enhanced the drought by creating the anticyclonic circulations trend and reducing precipitation, wildfires in southern California can intensify the Santa Ana winds, and large wildfires reduce vegetation coverage, increase surface albedo, leading to increased temperature and reduced humidity, and more annual river flow in the western regions.
The climate and hydrologic effects of afforestation This study simulated the hydroclimatic impacts of the Green Great Wall (GGW) project in North China and the conversion from farmland to forests in the Southeast US in the early 1900s, compared the impacts of afforestation between dry and wet conditions, investigated the remote role of ocean conditions, and analyzed the roles of vegetation in affecting future drought trends. The results show that the GGW is likely to improve overall hydroclimate conditions by increasing precipitation and reducing prevailing winds and air temperature, overall precipitation decreases in July and increases in January in the restoration region of the Southeast in response to the forest restoration, afforestation would modulate hydrological cycles by reducing evapotranspiration on clear days and elevating it on rainy days, a significant hydrologic response to afforestation only occurs if ocean temperatures are allowed to vary and the oceanic source of moisture to the continent is enhanced, and future droughts would increase more significantly on forest lands (grasslands) than the corresponding farmlands (drylands) in warm and moist/dry climate regimes.
Land-atmosphere interactions This study developed coupled systems based on linearized soil and air energy and water conservation equations with analytical solutions to obtain time scales of land-air interactions, analyzed global distributions of time scales of the air-land disturbances, simulated land breeze with a three-dimensional large-eddy model, analyzed major processes for the formation of shallow convective clouds induced by land breeze, and developed a parameterization scheme. The results show that the air-land system includes time scales from daily to seasonal, the air-land interactions increase the seasonal time scale from about one to three seasons, the interactions with soil water are the most important factor for scale length, and land-surface heterogeneity can generate local and mesoscale circulations, which can further modify land-surface heat and water exchanges and clouds.
Why This Research is Important
Wildfire is a natural process with many ecological benefits. However, wildfire and smoke damage trees, properties and human life, adversely affect air quality and human health, and modify regional and global climate. The impacts are getting more severe under the changing climate due to the greenhouse effect. On the other hand, the increasing concerns about the air quality and safety under warmer and drier conditions limit the capacity in implementing prescribed fires, which are extensively used as a forest management tool to maintain forest health and reduce wildfire risk.
My research on fire-smoke-atmospheric interactions improves understanding and quantification of wildfire regimes, smoke dynamics, and the relationships with atmospheric conditions, provides scientific foundations for developing analysis, simulation, and prediction tools to evaluate fire and smoke impacts, and aids managers and policymakers to develop strategies for better implementing forest management tools and reducing vulnerability of forest ecosystems, society, and the public to wildfire disturbance, smoke hazard, and climate change/variability.
- Ph.D. in Atmospheric Dynamics, 1990
- Institute of Atmospheric Physics, Chinese Academy of Sciences
- M.S. in Climatology, 1986
- Chinese Academy of Meteorological Sciences, Beijing, China
- B.S. in Meteorology, 1982
- Nanjing Institute of Meteorology, Nanjing, China
- Adjunct Faculty, College of Sciences and Arts, George Mason University, Fairfax, VA
- Adjunct Professor, School of Earth and Atmospheric Science, Georgia Institute of Technology
- Research Meteorogist, Center for Forest Disturbance Science, USDA Forest Service
- Senior Research Scientist, School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA
- Assistant Research Professor, Department of Environmental Science, Rutgers University, New Brunsvick, NJ
- PostDoc, Department of Meteorology and Physical Oceanography, Rutgers University, New Brunsvick, NJ
- Visiting Scholar, National Center for Atmospheric Research, Boulder, CO
- Assistant Research Scientist, Chinese Academy of Meteorological Sciences, Beijing, China
- Graduate Research Assistant, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
- Research Assistant / Graduate Research Assistant, Chinese Academy of Meteorological Sciences, Beijing, China
Featured Publications and Products
- Liu, Yongqiang; Liu, Yang; Fu, Joshua; Yang, Cheng-En; Dong, Xingyi; Tian, Hanqin; Tao, Bo; Yang, Jia; Wang, Yuhang; Zou, Yufei; Ke, Ziming. 2021. Projection of future wildfire emissions in western USA under climate change: contributions from changes in wildfire, fuel loading and fuel moisture.
- Liu, Yongqiang ; Kochanski, Adam ; Baker, Kirk R.; Mell, William ; Linn, Rodman ; Paugam, Ronan ; Mandel, Jan ; Fournier, Aime ; Jenkins, Mary Ann; Goodrick, Scott ; Achtemeier, Gary ; Zhao, Fengjun ; Ottmar, Roger ; French, Nancy H. F.; Larkin, Narasimhan ; Brown, Timothy ; Hudak, Andrew ; Dickinson, Matthew ; Potter, Brian ; Clements, Craig ; Urbanski, Shawn ; Prichard, Susan ; Watts, Adam ; McNamara, Derek . 2019. Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems.
- Zhao, Fengjun ; Liu, Yongqiang ; Goodrick, Scott ; Hornsby, Benjamin ; Schardt, Jeffrey . 2019. The contribution of duff consumption to fire emissions and air pollution of the Rough Ridge Fire.
- Liu, Yongqiang. 2016. Responses of dead forest fuel moisture to climate change.
- Liu, Yongqiang; Goodrick, Scott; Heilman, Warren. 2014. Wildland fire emissions, carbon, and climate: Wildfire–climate interactions.
- Liu, Yongqiang; Goodrick, Scott; Achtemeier, Gary L.; Forbus, Ken; Combs, David. 2013. Smoke plume height measurement of prescribed burns in the south-eastern United States.
- Liu, Y.-Q. 2010. A numerical study on hydrological impacts of forest restoration in the southern United States.
- Zhang, Aoxing ; Liu, Yongqiang; Goodrick, Scott; Williams, Marcus. 2022. Duff burning from wildfires in a moist region: different impacts on PM2.5 and ozone.
- Liu, Y.; Stanturf, J.A.; Goodrick, S.L. 2009. Trends in global wildfire potential in a changing climate.
- Liu, Yongqiang. 2005. Enhancement of the 1988 northern U.S. drought due to wildfires.
- Yang, Cheng-En ; Fu, Joshua S.; Liu, Yongqiang ; Dong, Xinyi ; Liu, Yang . 2022. Projections of future wildfires impacts on air pollutants and air toxics in a changing climate over the western United States.
- Liu, Yongqiang; Goodrick, Scott; Stanturf, John. 2021. Climate Downscaling for Fire Managemen.
- Ke, Zimin; Wang, Yuhang; Zou, Yufei; Song, Yongjia; Liu, Yongqiang. 2021. Global wildfire plume-rise dataset and parameterizations for climate model applications.
- Zhao, Fengjun; Liu, Yongqiang. 2021. Important meteorological predictors for long-range wildfires in China.
- Cao, Wenxu; Zhang, Zhiqiang; Liu, Yongqiang; Band, Lawrence; Wang, Shengping; Xu, Hang. 2021. Seasonal differences in future climate and streamflow variation in a watershed of Northern China.
- Zhao, Fengjun; Liu, Yongqiang; Shu, Lifu. 2020. Change in the fire season pattern from bimodal to unimodal under climate change: The case of Daxing'anling in Northeast China.
- Fang, Di ; Hao, Lu ; Cao, Zhen ; Huang, Xiaolin ; Qin, Mengsheng ; Hu, Jichao ; Liu, Yongqiang ; Sun, Ge . 2020. Combined effects of urbanization and climate change on watershed evapotranspiration at multiple spatial scales.
- Charney, Joseph J.; Kiefer, Michael T.; Zhong, Shiyuan ; Heilman, Warren E.; Nikolic, Jovanka ; Bian, Xindi ; Hom, John L.; Clark, Kenneth L.; Skowronski, Nicholas S.; Gallagher, Michael R.; Patterson, Matthew ; Liu, Yongqiang ; Hawley, Christie . 2019. Assessing Forest Canopy Impacts on Smoke Concentrations Using a Coupled Numerical Model.
- Zhao, Fengjun ; Liu, Yongqiang . 2019. Atmospheric circulation patterns associated with wildfires in the monsoon regions of China.
- Zou, Yufei ; Wang, Yuhang ; Ke, Ziming ; Tian, Hanqin ; Yang, Jia ; Liu, Yongqiang . 2019. Development of a REgion‐Specific ecosystem feedback fire (RESFire) model in the Community Earth System Model.
- Liu, Yongqiang ; Hao, Lu ; Zhou, Decheng ; Pan, Cen ; Liu, Peilong ; Xiong, Zhe ; Sun, Ge . 2019. Identifying a transition climate zone in an arid river basin using the evaporative stress index.
- Zhou, Decheng ; Hao, Lu ; Kim, John B.; Liu, Peilong ; Pan, Cen ; Liu, Yongqiang ; Sun, Ge . 2019. Potential impacts of climate change on vegetation dynamics and ecosystem function in a mountain watershed on the Qinghai-Tibet Plateau.
- Prichard, Susan ; Larkin, Sim N.; Ottmar, Roger ; French, Nancy H.F.; Baker, Kirk ; Brown, Tim ; Clements, Craig ; Dickinson, Matt ; Hudak, Andrew ; Kochanski, Adam ; Linn, Rod ; Liu, Yongqiang ; Potter, Brian ; Mell, William ; Tanzer, Danielle ; Urbanski, Shawn ; Watts, Adam . 2019. The fire and smoke model evaluation experiment—a plan for integrated, large fire–atmosphere field campaigns.
- Hallema, Dennis; Sun, Ge; Caldwell, Peter; Robinne, Francois-Nicolas; Bladon, Kevin D.; Norman, Steve; Liu, Yongqiang; Cohen, Erika C.; McNulty, Steve. 2019. Wildland fire impacts on water yield across the contiguous United States.
- Hallema, Dennis W.; Sun, Ge; Caldwell, Peter V.; Norman, Steven P.; Cohen, Erika C.; Liu, Yongqiang; Bladon, Kevin D.; McNulty, Steven G. 2018. Burned forests impact water supplies.
- Qin, Mengsheng ; Hao, Lu ; Sun, Lei ; Liu, Yongqiang ; Sun, Ge . 2018. Climatic controls on watershed reference evapotranspiration varied during 1961-2012 in southern China.
- Hao, Lu ; Huang, Xiaolin ; Qin, Mengsheng ; Liu, Yongqiang ; Li, Wenhong ; Sun, Ge . 2018. Ecohydrological processes explain urban dry island effects in a wet region, southern China.
- Liu, Yongqiang . 2018. New development and application needs for Earth system modeling of fire–climate–ecosystem interactions.
- Hao, Lu ; Pan, Cen ; Fang, Di ; Zhang, Xiaoyu ; Zhou, Decheng ; Liu, Peilong ; Liu, Yongqiang ; Sun, Ge . 2018. Quantifying the effects of overgrazing on mountainous watershed vegetation dynamics under a changing climate.
- Zhang, Libo ; Liu, Yongqiang ; Zhao, Fengjun . 2018. Singular value decomposition analysis of spatial relationships between monthly weather and air pollution index in China.
- Liu, Yongqiang; Goodrick, Scott; Achtemeier, Gary. 2018. The weather conditions for desired smoke plumes at a FASMEE burn site.
- Liu, Peilong; Hao, Lu; Pan, Cen; Zhou, Decheng; Liu, Yongqiang; Sun, Ge. 2017. Combined effects of climate and land management on watershed vegetation dynamics in an arid environment.
- Lu, Houquan; Wu, Yihua; Li, Yijun; Liu, Yongqiang. 2017. Effects of meteorological droughts on agricultural water resources in southern China.
- Liu, Yongqiang; Kochanski, Adam; Baker, Kirk; Mell, Ruddy; Linn, Rodman; Paugam, Ronan; Mandel, Jan; Fournier, Aime; Jenkins, Mary Ann; Goodrick, Scott; Achtemeier, Gary; Hudak, Andrew; Dickson, Matthew; Potter, Brian; Clements, Craig; Urbanski, Shawn; Ottmar, Roger; Larkin, Narasimhan; Brown, Timothy; French, Nancy; Prichard, Susan; Watts, Adam; McNamara, Derek. 2017. Fire and Smoke Model Evaluation Experiment (FASMEE): Modeling gaps and data needs.
- Zhang, Libo ; Liu, Yongqiang ; Zhao, Fengjun . 2017. Important meteorological variables for statistical long-term air quality prediction in eastern China.
- Hallema, Dennis W.; Sun, Ge; Bladon, Kevin D.; Norman, Steven P.; Caldwell, Peter V.; Liu, Yongqiang; McNulty, Steven G. 2017. Regional patterns of postwildfire streamflow response in the Western United States: The importance of scale-specific connectivity.
- Littell, Jeremy S.; Peterson, David L.; Riley, Karin L.; Liu, Yongqiang; Luce, Charlie H. 2016. A review of the relationships between drought and forest fire in the United States.
- Hallema, Dennis W.; Sun, Ge; Caldwell, Peter V.; Norman, Steve; Cohen Mack, Erika; Liu, Yongqiang; Ward, Eric J.; McNulty, Steve. 2016. Assessment of wildland fire impacts on watershed annual water yield: Analytical framework and case studies in the United States.
- Zhou, Decheng; Li, Dan; Sun, Ge; Zhang, Liangxia; Liu, Yongqiang; Hao, Lu. 2016. Contrasting effects of urbanization and agriculture on surface temperature in eastern China.
- Zhang, Libo; Liu, Yongqiang; Hao, Lu. 2016. Contributions of open crop straw burning emissions to PM 2.5 concentrations in China.
- Hao, Lu; Pan, Cen; Liu, Peilong; Zhou, Decheng; Zhang, Liangxia; Xiong, Zhe; Liu, Yongqiang; Sun, Ge. 2016. Detection of the Coupling between Vegetation Leaf Area and Climate in a Multifunctional Watershed, Northwestern China.
- Liu, Yongqiang; Zhang, L.B.; Hao, L.; Sun, Ge; Liu, S.-C. 2016. Evapotranspiration and land surface process responses to afforestation in western Taiwan: A comparison between dry and wet weather conditions.
- Littell, Jeremy S.; Peterson, David L.; Riley, Karin L.; Liu, Yongqiang; Luce, Charles H. 2016. Fire and drought [Chapter 7].
- Hallema, Dennis W.; Sun, Ge; Caldwell, Peter V.; Norman, Steve; Cohen, Erika C.; Liu, Yongqiang; McNulty, Steve. 2016. Relationships between wildland fires and watershed hydrology across the contiguous U.S.
- Zhou, Decheng; Zhang, Liangxia; Hao, Lu; Sun, Ge; Liu, Yongqiang; Zhu, Chao. 2016. Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China.
- Yang, Jia; Tian, Hanqin; Tao, Bo; Ren, Wei; Pan, Shufen; Liu, Yongqiang; Wang, Yuhang. 2015. A growing importance of large fires in conterminous United States during 1984-2012.
- Hao, L.; Sun, Ge; Liu, Yongqiang; Zhou, G. S.; Wan, J. H.; Zhang, L. B.; Niu, J. L.; Sang, Y. H.; He, J. J. 2015. Evapotranspiration and soil moisture dynamics in a temperate grassland ecosystem in Inner Mongolia China.
- Davis, Aika Y.; Ottmar, Roger ; Liu, Yongqiang ; Goodrick, Scott ; Achtemeier, Gary ; Gullett, Brian ; Aurell, Johanna ; Stevens, William ; Greenwald, Roby ; Hu, Yongtao ; Russell, Armistead ; Hiers, J. Kevin; Odman, M. Talat. 2015. Fire emission uncertainties and their effect on smoke dispersion predictions: a case study at Eglin Air Force Base, Florida, USA.
- Hao, Lu; Sun, Ge; Liu, Yongqiang; Qian, Hong. 2015. Integrated modeling of water supply and demand under management options and climate change scenarios in Chifeng City, China.
- Zhou, Decheng; Zhao, Shuqing; Zhang, Liangxia; Sun, Ge; Liu, Yongqiang. 2015. The footprint of urban heat island effect in China.
- Hao, L.; Sun, G.; Liu, Y.; Wan, J.; Qin, M.; Qian, H.; Liu, C.; John, R.; Fan, P.; Chen, J. 2015. Urbanization dramatically altered the water balances of a paddy field dominated basin in southern China.
- Hao, Lu; Sun, Ge; Liu, Yongqiang; Gao, Zhiqiu; He, Junjie; Shi, Tingting; Wu, Bingjuan. 2014. Effects of precipitation on grassland ecosystem restoration under grazing exclusion in Inner Mongolia, China .
- Mitchell, Robert J.; Liu, Yongqiang; O’Brien, Joseph J.; Elliott, Katherine J.; Starr, Gregory; Miniat, Chelcy Ford; Hiers, J. Kevin. 2014. Future climate and fire interactions in the southeastern region of the United States.
- Liu, Yongqiang; Prestemon, Jeffrey P.; Goodrick, Scott L.; Holmes, Thomas P.; Stanturf, John A.; Vose, James M.; Sun, Ge. 2014. Future wildfire trends, impacts, and mitigation options in the Southern United States.
- Marion, Daniel A.; Sun, Ge; Caldwell, Peter V.; Miniat, Chelcy F.; Ouyang, Ying; Amatya, Devendra M.; Clinton, Barton D.; Conrads, Paul A.; Gull Laird, Shelby; Dai, Zhaohua; Clingenpeel, J. Alan; Liu, Yonqiang; Roehl, Edwin A., Jr..; Moore Myers, Jennifer A.; Trettin, Carl. 2014. Managing forest water quantity and quality under climate change.
- Heilman, Warren; Liu, Yongqiang; Urbanski, Shawn; Kovalev, Vladimir; Mickler, Robert. 2014. Wildland fire emissions, carbon, and climate: Plume rise, atmospheric transport, and chemistry processes.
- Liu, Yongqiang; Qu, John J.; Wang, Wanting; Hao, Xianjun. 2013. Estimates of wildland fire emissions.
- Sun, Ge; Liu, Yongqiang. 2013. Forest Influences on Climate and Water Resources at the Landscape to Regional Scale.
- McNulty, Steven; Caldwell, Peter; Doyle, Thomas W.; Johnsen, Kurt; Liu, Yongqiang; Mohan, Jacqueline; Prestemon, Jeffrey; Sun, Ge. 2013. Forests and Climate Change in the Southeast USA.
- Achtemeier, G. L; Goodrick, S. L.; Liu, Y. 2012. Modeling Multiple-Core Updraft Plume Rise for an Aerial Ignition Prescribed Burn by Coupling Daysmoke with a Cellular Automata Fire Model.
- Goodrick, Scott L.; Achtemeier, Gary L.; Larkin, Narasimhan K.; Liu, Yongqiang; Strand, Tara M. (. 2012. Modelling smoke transport from wildland fires: a review.
- Chen, Guang-Shan; Notaro, Michael; Liu, Zhengyu; Liu, Yongqiang. 2012. Simulated Local and Remote Biophysical Effects of Afforestation over the Southeast United States in Boreal Summer.
- Achtemeier, G L; Goodrick, S L; Liu, Y; Garcia-Menendez, F; Hu, Y; Odman, M. 2011. Modeling Smoke Plume-Rise and Dispersion from Southern United States Prescribed Burns with Daysmoke.
- Liu, L.; Achtemeier, G.L.; Goodrick, S.L.; Jackson, W. 2010. Important parameters for smoke plume rise simulation with Daysmoke.
- Wang, W.; Qu, J.J.; Hao, X.; Liu, Y.; Stanturf, J.A. 2010. Post-hurricane forest damage assessment using satellite remote sensing.
- Liu, Y.; Stanturf, J.; Goodrick, S. 2010. Wildfire potential evaluation during a drought event with a regional climate model and NDVI.
- Wang, W.; Qu, J.J.; Hao, X.; Liu, Y. 2009. Analysis of the moderate resolution imaging spectroradiometer contextual algorithm for small fire detection, Journal of Applied Remote Sensing Vol.3.
- Qu, John J.; Hao, Xianjun; Liu, Yongqiang; Riebau, Allen R.; Yi, Haoruo; Qin, Xianlin. 2009. Remote sensing applications of wildland fire and air quality in China.
- Liu, Y.; Goodrick, S.; Achtemeier, G. 2009. Smoke incursions into urban areas: simulation of a Georgia prescribed burn.
- Liu, Yongqiang; Stanturf, John; Lu, Houquan. 2008. Modeling the potential of the Northern China forest shelterbelt in improving hydroclimate conditions.
- Liu, Yongqiang; Achtemeier, Gary; Goodrick, Scott. 2008. Sensitivity of air quality simulation to smoke plume rise.
- Wang, Wanting; Qu, John J.; Xianjun Hao, ; Liu, Yongqiang; Sommers, William T. 2006. An improved algorithm for small and cool fire detection using MODIS data: A preliminary study in the southeastern United States.
- Liu, Yongqiang. 2006. North Pacific warming and intense northwestern U.S. wildfires.
- Achtemeier, Gary L.; Goodrick, Scott; Liu, Yongqiang. 2005. A coupled modeling system for connecting prescribed fire activity data through CMAQ for simulating regional scale air quality.
- Liu, Yongqiang. 2005. Atmospheric response and feedback to radiative forcing from biomass burning in tropical South America.
- Liu, Yongqiang; Qu, John J.; Hao, Xianjun; Wang, Wanting. 2005. Improving Fire Emission Estimates in the eastern United States Using Satellite-Based Fuel Loading Factors.
- Liu, Yongqiang. 2005. Land Breeze and Thermals: A Scale Threshold to Distinguish Their Effects.
- Liu, Yongqiang; Avissar, Roni. 2005. Modeling of the Global Water Cycle - Analytical Models.
- Liu, Yongqiang; Achtemeier, Gary; Goodrick, Scott. 2005. Simulation and Experiment of Air Quality Effects of Prescribed Fires in the Southeast.
- Liu, YongQiang. 2004. Variability of wildland fire emissions across the contiguous United States.
- Liu, Yongqiang. 2003. Atmospheric Response And Feedback To Smoke Radiative Forcing From Wildland Fires.
- Liu, Yong-Qiang. 2003. Monthly and seasonal variability of the land-atmosphere system.
- Liu, Yongqiang. 2003. Prediction of monthly-seasonal precipitation using coupled SVD patterns between soil moisture and subsequent precipitation.
- Liu, Yongqiang. 2003. Spatial And Temporal Variability Of Wildland Fire Emissions Over The U.S.
- Liu, Yongqiang. 2003. Spatial patterns of soil moisture connected to monthly-seasonal precipitation variability in a monsoon region.
- Achtemeier, Gary L.; Goodrick, Scott L.; Liu, Yongqiang. 2003. The southern high-resolution modeling consortium - a source for research and operational collaboration.
- Fire and smoke modeling issues, gaps, and measurement data needs for developing next-generation operational smoke prediction models (2017)
- Smoke from wildland fires is a major natural hazard to air quality and human health. Providing complete and accurate smoke information is essential to prevent and reduce the impacts of such hazards. This study is an effort to develop the next-generation smoke prediction system to improve smoke prediction skills.
- Global Wildfire Potential (2010)
- SRS scientists are measuring fire potential using the Keetch-Byram Drought Index. The Index is calculated for present climate conditions through observed maximum temperatures and precipitation, and for future climate conditions through projected end-of-the-century changes projected by general circulation models.SRS scientists are measuring fire potential using the Keetch-Byram Drought Index. The Index is calculated for present climate conditions through observed maximum temperatures and precipitation, and for future climate conditions through projected end-of-the-century changes projected by general circulation models.
- Wildfire in the United States: Future Trends and Potential (2012)
- Climate models project warming and increased droughts this century in the continental United States, so wildfire is likely to increase accordingly