Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1341-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-1341-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Understanding drivers and biases of simulated CO emissions from the INFERNO fire model over South America
Maria P. Velásquez-García
CORRESPONDING AUTHOR
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Richard J. Pope
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Steven T. Turnock
Met Office Hadley Centre, Exeter, UK
Met Office@Leeds, University of Leeds, UK
Chetan Deva
School of Earth and Environment, University of Leeds, Leeds, UK
David P. Moore
School of Physics and Astronomy, Space Park Leicester, University of Leicester, Leicester, UK
National Centre for Earth Observation, Space Park Leicester, University of Leicester, Leicester, UK
Guilherme Mataveli
Earth Observation and Geoinformatics Division, National Institute for Space Research, São José dos Campos, Brazil
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
Steve R. Arnold
School of Earth and Environment, University of Leeds, Leeds, UK
Ruth M. Doherty
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Martyn P. Chipperfield
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Data sets
South America CO emissions simulated by INFERNO fire models and model sensitivity analysis from 2004 to 2021 M. P. Velásquez-García et al. https://doi.org/10.5281/zenodo.18337852
Short summary
Incorporating fire simulation into climate models is crucial for accurately representing interactions between fires, ecosystems, and climate, thereby enhancing climate projections. In South America, the INFERNO (Interactive Fires and Emissions algorithm for Natural Environments) fire model broadly captures CO emissions in active fire zones, e.g., the Amazon Arc of Deforestation. Still, it tends to overestimate emissions in tree-rich ecosystems, where INFERNO is too sensitive to low soil moisture, and to underestimate emissions in less tree-abundant ecosystems.
Incorporating fire simulation into climate models is crucial for accurately representing...
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