Preprints
https://doi.org/10.5194/essd-2024-465
https://doi.org/10.5194/essd-2024-465
29 Oct 2024
 | 29 Oct 2024
Status: this preprint is currently under review for the journal ESSD.

Distribution and Characteristics of Lightning-Ignited Wildfires in Boreal Forests – the BoLtFire database

Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf

Abstract. The frequency and severity of fire weather have increased under climate change, particularly in high-latitude boreal forests. Lightning, a key ignition source globally, is also expected to become more frequent with climate change and could significantly increase burn area. Current research on lightning-ignited wildfires (LIW) has a long history in boreal ecosystems but has typically focused on North America due to better data availability, while the lack of publicly available data for Eurasia has hindered our comprehensive understanding of important characteristics of LIW, such as holdover time, lightning-ignition efficiency, frequency, and spatial distribution of lightning-ignited wildfires in boreal forests. This study introduces the Temporal Minimum Distance (TMin) method, a novel approach to matching lightning strikes with wildfires without requiring ignition location, that outperformed current methodologies. As a result, we developed a comprehensive dataset of lightning-ignited wildfires across the entire boreal forest from 2012 to 2022, encompassing 6,228 fires — 4,186 in Eurasia and 2,042 in North America — each over 200 hectares in size. This dataset provides new opportunities to model ignition and spread dynamics of boreal wildfires and offers deeper insights into lightning-driven fire activity globally.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf

Status: open (until 05 Dec 2024)

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Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf

Data sets

Distribution and Characteristics of Lightning-Ignited Wildfires in Boreal Forests - the BoLtFire database Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf https://zenodo.org/records/13897163

Model code and software

BoLtFire Code Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf https://github.com/BrittanyEngle/BoLtFire_Code

Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf

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Short summary
The BoLtFire database is a lightning-ignited wildfire dataset that spans the entire boreal forest from 2012–2022 and includes large fires. The dataset was created using a new methodology to match lightnings to wildfires in the boreal region. The dataset encompassing 6,228 fires — 4,186 in Eurasia and 2,042 in North America. This dataset provides new opportunities to model ignition and spread dynamics of boreal wildfires and offers deeper insights into lightning-driven fire activity globally.
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