Dataset.

Database on holdover time of lightning-ignited wildfires

RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
RIA. Repositorio Institucional de Asturias
  • Moris, Jose V.
  • Álvarez-Álvarez, Pedro
  • Conedera, Marco
  • Dorph, Annalie
  • Hessilt, Thomas D.
  • Hugh G. P., Hunt
  • 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
This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of 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). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.
 
DOI: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585

HANDLE: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
 
Ver en: https://doi.org/10.5281/zenodo.7352172, https://ria.asturias.es/RIA/handle/123456789/14585
RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/68541
Artículo científico (article). 2023

A GLOBAL DATABASE ON HOLDOVER TIME OF LIGHTNING-IGNITED WILDFIRES

RUO. Repositorio Institucional de la Universidad de Oviedo
  • Moris, J. V.
  • Álvarez Álvarez, Pedro
  • Conedera, M.
  • Dorph, A.
  • Hessilt, T. D.
  • Hunt, H. G. P.
  • Libonati, R.
  • Menezes, L. S.
  • Müller, M. M.
  • Pérez Invernón, F. J.
  • Pezzatti, G. B.
  • Pineda, N.
  • Scholten, R. C.
  • Veraverbeke, S.
  • Wotton, B. M.
  • Ascoli, D.
Datos de investigación en https://zenodo.org/record/7352172, European Union's Horizon 2020 research and innovation program - Marie Skłodowska-Curie grant agreement [no. 847504]; MCIN/AEI/10.13039/501100011033 [CEX2021-001131-S]; Government of Asturias (Spain), FICYT [AYUD/2021/58534]




Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/350553
Artículo científico (article). 2023

A GLOBAL DATABASE ON HOLDOVER TIME OF LIGHTNING-IGNITED WILDFIRES

Digital.CSIC. Repositorio Institucional del CSIC
  • 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
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. © Author(s) 2023., This research has been supported by a postdoctoral fellowship funded by the government of Asturias (Spain) through the Fundacion para el Fomento en Asturias de la Investigacion Cientifica Aplicada y la Tecnologia (grant no. AYUD/2021/58534)., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S)., Peer reviewed




RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14614
Artículo científico (article). 2023

A GLOBAL DATABASE ON HOLDOVER TIME OF LIGHTNING-IGNITED WILDFIRES

RIA. Repositorio Institucional de Asturias
  • 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
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).





RIA. Repositorio Institucional de Asturias
oai:ria.asturias.es:123456789/14585
Dataset. 2022

DATABASE ON HOLDOVER TIME OF LIGHTNING-IGNITED WILDFIRES

RIA. Repositorio Institucional de Asturias
  • Moris, Jose V.
  • Álvarez-Álvarez, Pedro
  • Conedera, Marco
  • Dorph, Annalie
  • Hessilt, Thomas D.
  • Hugh G. P., Hunt
  • 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
This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of 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). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.





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