Articles | Volume 10, issue 12
Geosci. Model Dev., 10, 4443–4476, 2017
https://doi.org/10.5194/gmd-10-4443-2017
Geosci. Model Dev., 10, 4443–4476, 2017
https://doi.org/10.5194/gmd-10-4443-2017

Model description paper 06 Dec 2017

Model description paper | 06 Dec 2017

A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)

Matthias Forkel et al.

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Short summary
Wildfires affect infrastructures, vegetation, and the atmosphere. However, it is unclear how fires should be accurately represented in global vegetation models. We introduce here a new flexible data-driven fire modelling approach that allows us to explore sensitivities of burned areas to satellite and climate datasets. Our results suggest combining observations with data-driven and process-oriented fire models to better understand the role of fires in the Earth system.