Preprints
https://doi.org/10.5194/essd-2022-410
https://doi.org/10.5194/essd-2022-410
 
06 Dec 2022
06 Dec 2022
Status: this preprint is currently under review for the journal ESSD.

A global database on holdover time of lightning-ignited wildfires

Jose V. Moris1, Pedro Álvarez-Álvarez2, Marco Conedera3, Annalie Dorph4, Thomas D. Hessilt5, Hugh G. P. Hunt6, Renata Libonati7, Lucas S. Menezes7, Mortimer M. Müller8, Francisco J. Pérez-Invernón9, Gianni B. Pezzatti3, Nicolau Pineda10, Rebecca C. Scholten5, Sander Veraverbeke5, B. Mike Wotton11, and Davide Ascoli1 Jose V. Moris et al.
  • 1Department of Agricultural, Forest and Food Sciences DISAFA, University of Turin, Grugliasco, Italy
  • 2Department of Organisms and Systems Biology, University of Oviedo, Mieres, Spain
  • 3Insubric Ecosystem Research Group, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Cadenazzo, Switzerland
  • 4FLARE Wildfire Research, University of Melbourne, Creswick, Australia
  • 5Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
  • 6Johannesburg Lightning Research Laboratory, University of the Witwatersrand, Johannesburg, South Africa
  • 7Departament of Meteorology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
  • 8Institute of Silviculture, University of Natural Resources and Life Sciences BOKU, Vienna, Austria
  • 9Institute of Astrophysics of Andalusia IAA-CSIC, Granada, Spain
  • 10Meteorological Service of Catalonia, Barcelona, Spain
  • 11Canadian Forest Service, Sault Ste. Marie, Canada

Abstract. Holdover fires are usually associated with lightning-ignited wildfires (LIWs), which can experience a smouldering phase or go undetected for several hours to days and weeks before being reported. Since the existence and duration of the smouldering 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).

Jose V. Moris et al.

Status: open (until 11 Feb 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-410', Anonymous Referee #1, 06 Jan 2023 reply

Jose V. Moris et al.

Data sets

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 https://doi.org/10.5281/zenodo.7352172

Jose V. Moris et al.

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Short summary
This work describes a database on holdover times of lightning-ignited wildfires (LIWs). Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The database contains 42 datasets built with data on more than 152,375 LIWs from 13 countries extending 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 to investigate LIWs and model the holdover phenomenon.