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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Characteristics of lightning-attributed wildland fires in south-east Australia

Andrew J. Dowdy A B C and Graham A. Mills A B
+ Author Affiliations
- Author Affiliations

A Centre for Australian Weather and Climate Research, 700 Collins Street, Docklands, Vic. 3008, Australia.

B Bushfire Cooperative Research Centre, 340 Albert Street, East Melbourne, Vic. 3002, Australia.

C Corresponding author. Email: a.dowdy@bom.gov.au

International Journal of Wildland Fire 21(5) 521-524 https://doi.org/10.1071/WF10145
Submitted: 14 December 2010  Accepted: 8 November 2011   Published: 30 April 2012

Abstract

Wildland fires attributed to lightning ignitions in Victoria, Australia, are examined systematically through the use of lightning occurrence data. Lightning stroke data were obtained by a network of ground-based lightning detection sensors over a 9-year period. Characteristics of these fires are examined including the temporal variability in the average chance of fire occurrence per lightning stroke and the time period from lightning ignition of a fire until the fire grows large enough to be first observed, as well as distributions of fire duration and total area burnt. It is found that the time of day that lightning occurs does not have a significant influence on the chance of fire per lightning stroke, in contrast to the time of year, for which a significant annual variation occurs. Regional variability is examined by discussing the results for Victoria, Australia, in relation to results of studies from other parts of the world.


References

Cummins KL, Murphy MJ (2009) An overview of lightning locating systems: history, techniques, and data uses, with an in-depth look at US NLDN. IEEE Transactions on Electromagnetic Compatibility 51, 499–518.
An overview of lightning locating systems: history, techniques, and data uses, with an in-depth look at US NLDN.Crossref | GoogleScholarGoogle Scholar |

Dowdy AJ, Mills GA (2009) Atmospheric states associated with the ignition of lightning-attributed fires. Centre for Australian Weather and Climate Research, Technical Report Number 19. (Melbourne, Australia) Available at http://www.cawcr.gov.au/publications/technicalreports.php [Verified 29 February 2012]

Dowdy AJ, Mills GA, Finkele K, de Groot W (2009) Index sensitivity analysis applied to the Canadian Forest Fire Weather Index and the McArthur Forest Fire Danger Index. Meteorological Applications 17, 298–312.

Hess JC, Scott CA, Hufford GL, Fleming MD (2001) El Nino and its impact on fire weather conditions in Alaska. International Journal of Wildland Fire 10, 1–13.
El Nino and its impact on fire weather conditions in Alaska.Crossref | GoogleScholarGoogle Scholar |

Kasischke ER, Rupp TS, Verbyla DL (2006) Fire trends in the Alaskan Boreal Forest. In ‘Alaska’s Changing Boreal Forest’. (Eds FS Chapin, M Oswood, K van Cleve, L Viereck, D Verbyla) pp. 285–301. (Oxford University Press: Oxford, MA, USA)

Kuleshov YD, Mackerras D, Darveniza M (2006) Spatial distribution and frequency of lightning activity and lightning flash density maps for Australia. Journal of Geophysical Research 111, D19105
Spatial distribution and frequency of lightning activity and lightning flash density maps for Australia.Crossref | GoogleScholarGoogle Scholar |

Larjavaara M, Pennanen J, Tuomi TJ (2005a) Lightning that ignites forest fires in Finland. Agricultural and Forest Meteorology 132, 171–180.
Lightning that ignites forest fires in Finland.Crossref | GoogleScholarGoogle Scholar |

Larjavaara M, Kuuluvainen T, Rita H (2005b) Spatial distribution of lightning-ignited forest fires in Finland. Forest Ecology and Management 208, 177–188.
Spatial distribution of lightning-ignited forest fires in Finland.Crossref | GoogleScholarGoogle Scholar |

Lin J, Rinaldi S (2009) A derivation of statistical characteristics of forest fires. Ecological Modelling 220, 898–903.
A derivation of statistical characteristics of forest fires.Crossref | GoogleScholarGoogle Scholar |

Long A (2006) A climatology of extreme fire weather days in Victoria. Australian Meteorological Magazine 55, 3–18.

McRae RHD (1992) Prediction of areas prone to lightning ignition. International Journal of Wildland Fire 2, 123–130.
Prediction of areas prone to lightning ignition.Crossref | GoogleScholarGoogle Scholar |

Richard P, Lojou JY (1996) Assessment of application of storm cell electrical activity monitoring to intense precipitation forecast. In ‘Proceedings of the 10th Conference on Atmospheric Electricity’, 10–14 June 1996, Osaka, Japan. pp. 284–287. (International Commission on Atmospheric Electricity)

USDA Forest Service (1992) ‘1984–1990 Wildfire Statistics.’ (USDA Forest Service, State and Private Forestry, Fire and Aviation Management Staff: Washington, DC)

Vazquez A, Moreno JM (1998) Patterns of lightning-, and people-caused fires in peninsular Spain. International Journal of Wildland Fire 8, 103–115.
Patterns of lightning-, and people-caused fires in peninsular Spain.Crossref | GoogleScholarGoogle Scholar |

Wierzchowski J, Heathcott M, Flannigan MD (2002) Lightning and lightning fire, Central Cordillera, Canada. International Journal of Wildland Fire 11, 41–51.
Lightning and lightning fire, Central Cordillera, Canada.Crossref | GoogleScholarGoogle Scholar |

Wotton BM, Martell DL (2005) A lightning fire occurrence model for Ontario. Canadian Journal of Forest Research 35, 1389–1401.
A lightning fire occurrence model for Ontario.Crossref | GoogleScholarGoogle Scholar |

Wotton BM, Stocks BJ, Martell DL (2005) An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System. International Journal of Wildland Fire 14, 169–182.
An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System.Crossref | GoogleScholarGoogle Scholar |