The Portuguese Large Wildfire Spread Database (PT-FireSprd)
Abstract. Wildfire behaviour depends on complex interactions between fuels, topography and weather, over a wide range of scales, being important for fire research and management applications. To allow for a significant progress towards better fire management, the operational and research communities require detailed open data on observed wildfire behaviour. Here, we present the Portuguese Large Wildfire Spread Database (PT-FireSprd) that includes the reconstruction of the spread of 80 large wildfires that occurred in Portugal between 2015 and 2021. It includes a detailed set of fire behaviour descriptors, such as rate-of-spread (ROS), fire growth rate (FGR), and fire radiative energy (FRE). The wildfires were reconstructed by converging evidence from complementary data sources, such as satellite imagery/products, airborne and ground data collected by fire personnel, official fire data and information in external reports. We then implemented a digraph-based algorithm to estimate the fire behaviour descriptors and combined it with MSG-SEVIRI fire radiative power estimates. A total of 1197 observations of ROS and FGR were estimated along with 609 FRE estimates. The extreme fires of 2017 were responsible for the maximum observed values of ROS (8956 m/h) and FGR (4436 ha/h). Combining both descriptors, we defined 6 fire behaviour classes that can be easily communicated to both research and management communities and support a wide number of applications. Analysis also showed that the area burned by a wildfire is mostly determined by its FGR rather than by its forward speed. Finally, we explored a practical example to show the PT-FireSprd database can be used to study the dynamics of individual wildfires and build robust case studies for training and capacity building.
The PT-FireSprd is the first open access fire progression and behaviour database in Mediterranean Europe, dramatically expanding the extant information. Updating the PT-FireSprd database will require a continuous joint effort by researchers and fire personnel. Updating the PT-FireSprd database will require a continuous joint effort by researchers and fire personnel. PT-FireSprd data are publicly available through https://doi.org/10.5281/zenodo.7495506 (last access: 30th December 2022) and have a large potential to improve current knowledge on wildfire behaviour and support better decision-making (Benali et al. 2022).
Akli Benali et al.
Status: final response (author comments only)
- RC1: 'Comment on essd-2022-475', Miguel Cruz, 30 Jan 2023
- RC2: 'Comment on essd-2022-475', Anonymous Referee #2, 25 Apr 2023
- RC3: 'Comment on essd-2022-475', Anonymous Referee #3, 09 May 2023
Akli Benali et al.
The Portuguese Large Wildfire Spread Database (PT-FireSprd) (v0.08) https://doi.org/10.5281/zenodo.7495506
Akli Benali et al.
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Review of essd-2022-475 by Miguel Cruz
I commend the authors for their work on developing a significant wildfire behaviour dataset. I found the work of great interest to the fire research community, and can see their methods and data being used by many in the I have few major comments (below) and a number of small comments that are in the attached pdf.
It is not clear why the authors depart from their main focus of the study, describing how the database was assemble, to do a spurious analysis of the data and come up with these findings, that, in my view, are not really findings. If the authors want to explore those aspects of fire behaviour, then they should do so in a different piece of work, with proper basis and analysis.
Other minor comments:
What is the certainty in the intermediate perimeters (isochrones) in figure 3? I cannot imagine you were able to collect data across all the perimeter to make such a nice polygon. Were they interpolated? If so, they might provide a false sense of certainty.