Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-995-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-995-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Using CESM-RESFire to understand climate–fire–ecosystem interactions and the implications for decadal climate variability
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA 30332, USA
now at: Pacific Northwest National Laboratory, Richland, WA
99354, USA
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA 30332, USA
Yun Qian
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA 99354, USA
Hanqin Tian
International Centre for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
Jia Yang
College of Forest Resources/Forest and Wildlife Research Center,
Mississippi State University, Starkville, MS 39762, USA
Ernesto Alvarado
School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
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Cited
24 citations as recorded by crossref.
- Wildfire-Derived Nitrogen Aerosols Threaten the Fragile Ecosystem in Himalayas and Tibetan Plateau H. Bhattarai et al. 10.1021/acs.est.3c01541
- Projection of Future Fire Emissions Over the Contiguous US Using Explainable Artificial Intelligence and CMIP6 Models S. Wang et al. 10.1029/2023JD039154
- Understanding aerosol–climate–ecosystem interactions and the implications for terrestrial carbon sink using the Community Earth System Model H. Zhang et al. 10.1016/j.agrformet.2023.109625
- Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050 C. Sarangi et al. 10.5194/acp-23-1769-2023
- Projections of fire emissions and the consequent impacts on air quality under 1.5 °C and 2 °C global warming C. Tian et al. 10.1016/j.envpol.2023.121311
- Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model H. Huang et al. 10.5194/gmd-14-7639-2021
- Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
- Using of Production Wastes in Stormwater Drainage Purification A. Grytsenko et al. 10.4028/www.scientific.net/MSF.1006.194
- Quantifying Forest Fire and Post-Fire Vegetation Recovery in the Daxin’anling Area of Northeastern China Using Landsat Time-Series Data and Machine Learning J. Qiu et al. 10.3390/rs13040792
- Spatial heterogeneity in climate change effects across Brazilian biomes A. Braga & M. Laurini 10.1038/s41598-024-67244-x
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic Y. Zou et al. 10.1038/s41467-021-26232-9
- Fire–climate interactions through the aerosol radiative effect in a global chemistry–climate–vegetation model C. Tian et al. 10.5194/acp-22-12353-2022
- Duff burning from wildfires in a moist region: different impacts on PM<sub>2.5</sub> and ozone A. Zhang et al. 10.5194/acp-22-597-2022
- Surge in extreme forest fires fuels global emissions X. You 10.1038/d41586-023-04033-y
- Quantifying Fire-Induced Surface Climate Changes in the Savanna and Rainforest Biomes of Brazil F. De Sales et al. 10.3390/fire6080311
- Direct and semi-direct radiative forcing of biomass-burning aerosols over the southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study M. Mallet et al. 10.5194/acp-20-13191-2020
- SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States J. Buch et al. 10.5194/gmd-16-3407-2023
- Positive feedback to regional climate enhances African wildfires A. Zhang et al. 10.1016/j.isci.2023.108533
- Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. 10.5194/gmd-13-6029-2020
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires S. O’Neill et al. 10.1080/10962247.2021.1891994
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau W. Liu et al. 10.1038/s41612-023-00392-5
24 citations as recorded by crossref.
- Wildfire-Derived Nitrogen Aerosols Threaten the Fragile Ecosystem in Himalayas and Tibetan Plateau H. Bhattarai et al. 10.1021/acs.est.3c01541
- Projection of Future Fire Emissions Over the Contiguous US Using Explainable Artificial Intelligence and CMIP6 Models S. Wang et al. 10.1029/2023JD039154
- Understanding aerosol–climate–ecosystem interactions and the implications for terrestrial carbon sink using the Community Earth System Model H. Zhang et al. 10.1016/j.agrformet.2023.109625
- Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050 C. Sarangi et al. 10.5194/acp-23-1769-2023
- Projections of fire emissions and the consequent impacts on air quality under 1.5 °C and 2 °C global warming C. Tian et al. 10.1016/j.envpol.2023.121311
- Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model H. Huang et al. 10.5194/gmd-14-7639-2021
- Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
- Using of Production Wastes in Stormwater Drainage Purification A. Grytsenko et al. 10.4028/www.scientific.net/MSF.1006.194
- Quantifying Forest Fire and Post-Fire Vegetation Recovery in the Daxin’anling Area of Northeastern China Using Landsat Time-Series Data and Machine Learning J. Qiu et al. 10.3390/rs13040792
- Spatial heterogeneity in climate change effects across Brazilian biomes A. Braga & M. Laurini 10.1038/s41598-024-67244-x
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic Y. Zou et al. 10.1038/s41467-021-26232-9
- Fire–climate interactions through the aerosol radiative effect in a global chemistry–climate–vegetation model C. Tian et al. 10.5194/acp-22-12353-2022
- Duff burning from wildfires in a moist region: different impacts on PM<sub>2.5</sub> and ozone A. Zhang et al. 10.5194/acp-22-597-2022
- Surge in extreme forest fires fuels global emissions X. You 10.1038/d41586-023-04033-y
- Quantifying Fire-Induced Surface Climate Changes in the Savanna and Rainforest Biomes of Brazil F. De Sales et al. 10.3390/fire6080311
- Direct and semi-direct radiative forcing of biomass-burning aerosols over the southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study M. Mallet et al. 10.5194/acp-20-13191-2020
- SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States J. Buch et al. 10.5194/gmd-16-3407-2023
- Positive feedback to regional climate enhances African wildfires A. Zhang et al. 10.1016/j.isci.2023.108533
- Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. 10.5194/gmd-13-6029-2020
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires S. O’Neill et al. 10.1080/10962247.2021.1891994
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau W. Liu et al. 10.1038/s41612-023-00392-5
Latest update: 03 Nov 2024
Short summary
Fire is a natural phenomenon that has a long history of interactions with the environment and human activity. The complex interactions were less represented in previous fire and climate models. Here we use a new global fire model with improved modeling capability to study how fire responds and contributes to climate change. The modeling results show increased global fire activity in the future driven by climate change, which in turn modulates local and remote climate and ecosystems.
Fire is a natural phenomenon that has a long history of interactions with the environment and...
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