EGU24-8496, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-8496
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

ONFIRE Dataset: Harmonizing Decades of Wildland Fire Data

Andrina Gincheva1 and the ONFIRE group*
Andrina Gincheva and the ONFIRE group
  • 1Regional Atmospheric Modelling (MAR) Group, Regional Campus of International Excellence Campus Mare Nostrum (CEIR), University of Murcia (andrina@um.es)
  • *A full list of authors appears at the end of the abstract

We present the ONFIRE Dataset (Gincheva et al., 2023), a gridded monthly burned area (BA) data product with national wildland data from several regions: Australia (since 1950), Canada (since 1959), Chile (since 1985), Europe (since 1980) and the United States (since 1984), covering up to the year 2021. This database is organised on a uniform 1° × 1° grid, providing a consistent spatial resolution for global analysis. Records from different sources and regions have been extracted and harmonised using open and reproducible methods. The data remapping and validation process ensures consistency and comparability between different regions. This dataset complements existing remotely sensed databases, offering users the opportunity to explore and analyse changes in fire regimes. The ONFIRE Dataset is accessible on Zenodo (https://zenodo.org/records/8289245; Gincheva  & Turco,  2023).

References

Gincheva, A., Pausas, J. G., Edwards, A., Provenzale, A., Cerdà, A., Hanes, C., ... & Turco, M. (2023). A monthly gridded burned area database of national wildland fire data (ONFIRE).

Gincheva, A., & Turco, M. (2023). ONFIRE dataset: Monthly Gridded Burned Area data (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8289245

Acknowledgements

A.G. thanks to the Ministerio de Ciencia, Innovación y Universidades of Spain for Ph.D. contract FPU19/06536. M.T. acknowledges funding by the Spanish Ministry of Science, Innovation, and Universities through the Ramón y Cajal Grant Reference RYC2019-027115-I and through the project ONFIRE, grant PID2021-123193OB-I00, funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. S.J. acknowledges funding by the MCI/AEI Ramón y Cajal Grant Reference RYC2020-029993-I. M.B., A.P., and M.M. acknowledge the support of the European Union - NextGenerationEU in the framework of the National Biodiversity Future Center of Italy; A.P. and M.M. acknowledge the support of the EU project FireEUrisk, grant no. 101003890. M.E.G acknowledges research support provided by ANID/FONDECYT N° 1231573 and ANID/FONDAP 15110009; COD 1522A0001. R.L. was supported by FAPERJ (Grant E-26/200.329/2023) and CNPQ (Grant 311487/2021-1). M.M.B. acknowledges funding from the New South Wales Government (NSW Bushfire and Natural Hazards Research Centre) and the Australian Research Council (DP 220100795). F.M. and E.C. were supported by the European Space Agency FireCCI project. 

ONFIRE group:

Andrina Gincheva, Juli G. Pausas, Andrew Edwards, Antonello Provenzale, Artemi Cerdà, Chelene Hanes, Dominic Royé, Emilio Chuvieco, Florent Mouillot, Gabriele Vissio, Jesús Rodrigo, Joaquin Bedía, John T. Abatzoglou, José María Senciales González, Karen C. Short, Mara Baudena, Maria Carmen Llasat, Marta Magnani, Matthias M. Boer, Mauro E. González, Miguel Ángel Torres-Vázquez, Paolo Fiorucci, Peter Jacklyn, Renata Libonati, Ricardo M. Trigo, Sixto Herrera, Sonia Jerez, Xianli Wang, Marco Turco.

How to cite: Gincheva, A. and the ONFIRE group: ONFIRE Dataset: Harmonizing Decades of Wildland Fire Data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8496, https://doi.org/10.5194/egusphere-egu24-8496, 2024.

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