Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations

Venevsky, Sergey; Le Page, Yannick; Pereira, José M. C.; Wu, Chao

doi:https://doi.org/10.5194/gmd-12-89-2019

Articles | Volume 12, issue 1

https://doi.org/10.5194/gmd-12-89-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-89-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Model description paper

|

04 Jan 2019

Model description paper |

| 04 Jan 2019

Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations

Sergey Venevsky, Yannick Le Page, José M. C. Pereira, and Chao Wu

Model code and software

Codes of SEVER-FIRE v1.0 global fire model Chao Wu and Sergey Venevsky https://github.com/zjkwuchao/SEVER-FIRE-model.git

Short summary

We present SEVER-FIRE (v1.0), incorporated into the SEVER DGVM. One of the major focuses of SEVER-FIRE is an implementation of the pyrogenic behavior of humans (timing of their activities and their willingness and necessity to ignite or suppress fire), related to socioeconomic and demographic conditions in a geographical domain of the model application. Unlike other DGVM- and ESM-based global fire models, we do not use any satellite-derived assumptions in equations of fire model development.