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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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EWED_D3.2 Case studies

Authors: Castellnou Ribau, Marc; Nebot, Edgar; Bachfischer, Mercedes; Arilla, Etel; Castellarnau, Xavier; Castellví, Jordi; Cespedes, Jose; +10 Authors

EWED_D3.2 Case studies

Abstract

D3.2 Case Studies is a data repository that collates meteorological and fire data gathered from wildfires and prescribed burns in a systematic and uniform format for integration into the Wildfire Data Portal being developed by the EWED Project. This deliverable presents two distinct outputs: firstly, the report document, and secondly, the dataset comprising data from ten forest fires and two prescribed burns. This document outlines the structure and principal formats of the collected data, detailing how they are organised within the dataset. Additionally, it presents a concise analysis of the data to highlight its potential applications. The dataset comprises data collected in 2024 as part of EWED, as well as data collected prior to this. The methodology of data collection on wildfires and prescribed burns was initiated in 2021 by the CFRS, and its archive contains a variety and quantity of data that are of interest for input to the Wildfire Data Portal. Consequently, it has been determined to incorporate them, even though they were not collected during the project timeframe. The data collected, processes and methodologies are defined and detailed in D3.1 Protocols for Data Collection on Extreme Wildfire Events (available in English and Spanish).

Related Organizations
Keywords

Radiosonde, Profiling Methodology, In-Plume, EWEs, Extreme Wildfire Events, Pyroconvection

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selected citations
These citations are derived from selected sources.
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