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A global database on holdover time of lightning-ignited wildfires

Identificadores del recurso

Moris JV, Álvarez-Álvarez P, Conedera M, Dorph A, Hessilt TD, Hunt HGP, Libonati R, Menezes LS, Müller MM, Pérez-Invernón FJ, Pezzatti GB, Pineda N, Scholten RC, Veraverbeke S, Wotton BM, Ascoli D. 2023. A global database on holdover time of lightning-ignited wildfires. Earth System Science Data 15: 1151-1163. https://doi.org/10.5194/essd-15-1151-2023

https://doi.org/10.5194/essd-15-1151-2023

https://ria.asturias.es/RIA/handle/123456789/14614

Procedencia

(Repositorio Institucional de Asturias: RIA)

Ficha

Título:: A global database on holdover time of lightning-ignited wildfires
Tema:: Incendios forestales
Descripción:: 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).; 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. The complete database can be downloaded at https://doi.org/10.5281/zenodo.7352172 (Moris et al., 2022).
Idioma:
Autor/Productor:: Moris, Jose V.; Álvarez-Álvarez, Pedro; Conedera, Marco; Dorph, Annalie; Hessilt, Thomas D.; Hunt, Hugh G.P.; Libonati, Renata; Menezes, Lucas S.; Müller, Mortimer M.; Pérez-Invernón, Francisco J.; Pezzatti, Gianni B.; Pineda, Nicolau; Scholten, Rebecca C.; Veraverbeke, Sander; Wotton, B. Mike; Ascoli, Davide
Editor:: Copernicus
Derechos:: Atribución-NoComercial-SinDerivadas 3.0 España; http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Fecha:: 2023-03-17T08:48:31Z; 2023-03-16
Tipo de recurso:: Artículo
Formato:: application/pdf

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