References
Journal papers
Vitolo, C., Di Giuseppe, F., Barnard, C. et al. ERA5-based global meteorological wildfire danger maps. Sci Data 7, 216 (2020). https://doi.org/10.1038/s41597-020-0554-z
Vitolo, C., Di Giuseppe, F., Krzeminski, B. et al. A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices. Sci Data 6, 190032 (2019). https://doi.org/10.1038/sdata.2019.32
Vitolo C, Di Giuseppe F, D’Andrea M (2018) Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLOS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419
Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libertá, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491.
Newsletter articles
ECMWF forecasts support Portugal wildfire response (Number 153 - Autumn - October 2017) https://www.ecmwf.int/en/newsletter/153/news/ecmwf-forecasts-support-portugal-wildfire-response
Devastating wildfires in Chile in January 2017 (Number 151 - Spring - April 2017) https://www.ecmwf.int/en/newsletter/151/news/devastating-wildfires-chile-january-2017
Copernicus fire danger forecast goes online (Number 151 - Spring - April 2017) https://www.ecmwf.int/en/newsletter/151/news/copernicus-fire-danger-forecast-goes-online
Software tools
- GEFF model source code (Fortran): https://git.ecmwf.int/projects/CEMSF/repos/geff/browse
- Vitolo C, Di Giuseppe F, D’Andrea M (2018) Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLOS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419
- Claudia Vitolo, & Francesca Di Giuseppe. (2020, May 27). cvitolo/geff_notebooks: geff_notebooks v0.1 (Version v0.1). Zenodo. http://doi.org/10.5281/zenodo.3859592