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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Anomalies in Extreme Fire Weather Days by Continent, Biome, Country, and Administrative Region

Authors: Turco, Marco; Jones, Matthew William; Di Giuseppe, Francesca;

Anomalies in Extreme Fire Weather Days by Continent, Biome, Country, and Administrative Region

Abstract

This dataset supports the State of Wildfires 2024-25 report under review at Earth System Science Data (Kelley et al., under review). It is an update of the State of Wildfires 2023-24 report (Jones et al. 2024). The dataset provides annual values and final-year anomalies for extreme fire weather days (FWI95d), computed per region over a March–February global fire season (e.g., March 2023–February 2024), which aligns with the annual lull in the global fire calendar (see Jones et al. 2024). Daily FWI inputs are sourced from the Copernicus Climate Service ERA5 reanalysis (Vitolo et al. 2020). Complete methodology is described by Kelley et al. (under review). CitationWork utilizing these regional FWI summaries should cite both Kelley et al. (2025) and the primary reference for the fire weather metric as follows: Vitolo, C., Di Giuseppe, F., Barnard, C., Coughlan, R., San-Miguel-Ayanz, J., Libertá, G., & Krzeminski, B. (2020). ERA5-based global meteorological wildfire danger maps. Scientific data, 7(1), 216. Input dataDaily FWI available at https://ewds.climate.copernicus.eu/datasets/cems-fire-historical-v1Regional AnalysisWe performed "cookie-cutting" (spatial and temporal masking) of the above input data sets to features in each of the regional layers descriped in Kelley et al. (2025).

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average