A global database on holdover time of lightning-ignited wildfires

Jose V. Moris*, Pedro Álvarez-Álvarez, Marco Conedera, Annalie Dorph, Thomas D. Hessilt, Hugh G.P. Hunt, Renata Libonati, Lucas S. Menezes, Mortimer M. Müller, Francisco J. Pérez-Invernón, Gianni B. Pezzatti, Nicolau Pineda, Rebecca C. Scholten, Sander Veraverbeke, B. Mike Wotton, Davide Ascoli

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Holdover fires are usually associated with lightning-ignited wildfires (LIWs), which can experience a smoldering phase or go undetected for several hours, days or even weeks before being reported. Since the existence and duration of the smoldering combustion in LIWs is usually unknown, holdover time is conventionally defined as the time between the lightning event that ignited the fire and the time the fire is detected. Therefore, all LIWs have an associated holdover time, which may range from a few minutes to several days. However, we lack a comprehensive understanding of holdover times. Here, we introduce a global database on holdover times of LIWs. We have collected holdover time data from 29 different studies across the world through a literature review and datasets assembled by authors of the original studies. The database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). Censored data are the core of the database and consist of different frequency distributions reporting the number or relative frequency of LIWs per interval of holdover time. In addition, ancillary data provide further information to understand the methods and contexts in which the data were generated in the original studies. The first version of the database contains 42 frequency distributions of holdover time built with data on more than 152 375 LIWs from 13 countries in five continents covering a time span from 1921 to 2020. This database is the first freely available, harmonized and ready-to-use global source of holdover time data, which may be used in different ways to investigate LIWs and model the holdover phenomenon.

Original languageEnglish
Pages (from-to)1151-1163
Number of pages13
JournalEarth System Science Data
Volume15
Issue number3
DOIs
Publication statusPublished - 16 Mar 2023

Bibliographical note

Funding Information:
This research has been supported by a postdoctoral fellowship funded by the government of Asturias (Spain) through the Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología (grant no. AYUD/2021/58534).

Funding Information:
Thomas D. Hessilt acknowledges support under the umbrella of the Netherlands Earth System Science Centre (NESSC), funded by the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 847504. Francisco J. Pérez-Invernón acknowledges the support of a fellowship (LCF/BQ/PI22/11910026) from la Caixa Foundation (ID 100010434), the sponsorship provided by Junta de Andalucía under grant no. POSTDOC-21-00052 and the grant Severo Ochoa no. CEX2021-001131-S funded by MCIN/AEI/10.13039/501100011033.

Publisher Copyright:
© 2023 Copernicus GmbH. All rights reserved.

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