Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1151-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1151-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 Mar 2023
Data description paper |
| 16 Mar 2023
| 16 Mar 2023
A global database on holdover time of lightning-ignited wildfires
Jose V. Moris
CORRESPONDING AUTHOR
Department of Agricultural, Forest and Food Sciences (DISAFA),
University of Turin, Grugliasco, Italy
Pedro Álvarez-Álvarez
Department of Organisms and Systems Biology, University of Oviedo,
Mieres, Spain
Marco Conedera
Insubric Ecosystems Research Group, Swiss Federal Institute for Forest,
Snow and Landscape Research (WSL), Cadenazzo, Switzerland
Annalie Dorph
FLARE Wildfire Research, University of Melbourne, Creswick, Australia
Thomas D. Hessilt
Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the
Netherlands
Hugh G. P. Hunt
Johannesburg Lightning Research Laboratory, University of the
Witwatersrand, Johannesburg, South Africa
Renata Libonati
Department of Meteorology, Federal University of Rio de Janeiro, Rio
de Janeiro, Brazil
Lucas S. Menezes
Department of Meteorology, Federal University of Rio de Janeiro, Rio
de Janeiro, Brazil
Mortimer M. Müller
Institute of Silviculture, University of Natural Resources and Life
Sciences (BOKU), Vienna, Austria
Francisco J. Pérez-Invernón
Institute of Astrophysics of Andalusia (IAA-CSIC), Granada, Spain
Gianni B. Pezzatti
Insubric Ecosystems Research Group, Swiss Federal Institute for Forest,
Snow and Landscape Research (WSL), Cadenazzo, Switzerland
Nicolau Pineda
Meteorological Service of Catalonia, Barcelona, Spain
Rebecca C. Scholten
Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the
Netherlands
Sander Veraverbeke
Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the
Netherlands
B. Mike Wotton
Canadian Forest Service, Sault Ste. Marie, Canada
Davide Ascoli
Department of Agricultural, Forest and Food Sciences (DISAFA),
University of Turin, Grugliasco, Italy
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Cited
6 citations as recorded by crossref.
- Lightning-induced fire regime in Portugal based on satellite-derived and in situ data L. Menezes et al. 10.1016/j.agrformet.2024.110108
- Comparing ground-based lightning detection networks near wildfire points-of-origin B. Hatchett et al. 10.1007/s11069-024-06741-8
- Igniting lightning, wildfire occurrence, and precipitation in the boreal forest of northeast China C. Gao et al. 10.1016/j.agrformet.2024.110081
- On the Role of Continuing Currents in Lightning‐Induced Fire Ignition F. Pérez‐Invernón et al. 10.1029/2023JD038891
- Survival functions of holdover time of lightning-ignited wildfires J. Moris et al. 10.1016/j.epsr.2024.110296
- A global database on holdover time of lightning-ignited wildfires J. Moris et al. 10.5194/essd-15-1151-2023
5 citations as recorded by crossref.
- Lightning-induced fire regime in Portugal based on satellite-derived and in situ data L. Menezes et al. 10.1016/j.agrformet.2024.110108
- Comparing ground-based lightning detection networks near wildfire points-of-origin B. Hatchett et al. 10.1007/s11069-024-06741-8
- Igniting lightning, wildfire occurrence, and precipitation in the boreal forest of northeast China C. Gao et al. 10.1016/j.agrformet.2024.110081
- On the Role of Continuing Currents in Lightning‐Induced Fire Ignition F. Pérez‐Invernón et al. 10.1029/2023JD038891
- Survival functions of holdover time of lightning-ignited wildfires J. Moris et al. 10.1016/j.epsr.2024.110296
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
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 in five continents 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.
This work describes a database on holdover times of lightning-ignited wildfires (LIWs). Holdover...
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