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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

The 1986 Annaburroo experimental grassland fires: data

James S. Gould A , Miguel G. Cruz https://orcid.org/0000-0003-3311-7582 A and Andrew L. Sullivan https://orcid.org/0000-0002-8038-8724 A *
+ Author Affiliations
- Author Affiliations

A CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia.

* Correspondence to: Andrew.Sullivan@csiro.au

International Journal of Wildland Fire 33, WF23100 https://doi.org/10.1071/WF23100
Submitted: 21 June 2023  Accepted: 25 April 2024  Published: 13 May 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background

In 1986, CSIRO conducted a large program of experimental fires in grassland at Annaburroo Station, Northern Territory, Australia, with the objective of quantifying the effect of fuel condition (load and height) on fire behaviour.

Aims

This paper provides the data collected during this program, representing a unique set of observations and measurements of large, free-burning experimental fires conducted in a multi-factor experimental design.

Methods

Data are collated by experimental burn plot, providing detailed measurements of weather (wind speed, air temperature, relative humidity), fuel state (load, height, moisture content, curing) and fire behaviour (rate of spread, flame depth, flame height, head fire width), as well as processed information (e.g. steady-state rate of spread).

Data availability

The data are made available for free download on the CSIRO Data Access Portal (https://data.csiro.au/collection/csiro:58746) and include detailed metadata descriptions of the data and their structure, also provided in this article.

Conclusions

We have made the data available for fire behaviour researchers around the world to use in their research under the Creative Commons Attributions licence. It is hoped they will analyse these data and extract new and innovative insights to help improve our understanding of wildland fires burning in grass fuels.

Keywords: Experimental fires, fire behaviour, fuel state, grassland fire.

References

Bradley EF (1969) Small sensitive anemometer system for agricultural meteorology. Agricultural Meteorology 6, 185-193.
| Crossref | Google Scholar |

Byram GM (1966) Scaling laws for modeling mass fires. Pyrodynamics 4, 271-284.
| Google Scholar |

Brown JK (1970) Ratios of surface area to volume for common fine fuels. Forest Science 16, 101-105.
| Google Scholar |

Cheney NP, Gould JS (1995a) Separating fire spread prediction and fire danger rating. CALMScience Supplement 4, 3-8.
| Google Scholar |

Cheney NP, Gould JS (1995b) Fire growth in grassland fuels. International Journal of Wildland Fire 5, 237-247.
| Crossref | Google Scholar |

Cheney NP, Gould JS (1997) Fire growth and acceleration. International Journal of Wildland Fire 7, 1-5.
| Crossref | Google Scholar |

Cheney NP, Sullivan AL (2008) ‘Grasslands: Fuel, weather and fire behaviour.’ 2nd edn. p. 150. (CSIRO Publishing: Melbourne, Vic., Australia)

Cheney NP, Gould JS, Hutchings PT (1989) ‘Prediction of fire spread in grassland.’ (CSIRO: Canberra, ACT, Australia)

Cheney NP, Gould JS, Catchpole WR (1993) The influence of fuel, weather and fire shape variables on fire-spread in grasslands. International Journal of Wildland Fire 3, 31-44.
| Crossref | Google Scholar |

Cheney NP, Gould JS, Catchpole WR (1998) Prediction of fire spread in grassland. International Journal of Wildland Fire 8, 1-13.
| Crossref | Google Scholar |

Cruz MG, Gould JS, Alexander ME, Sullivan AL, McCaw WL, Matthews S (2015) Empirical-based models for predicting head-fire rate of spread in Australian fuel types. Australian Forestry 78, 118-158.
| Crossref | Google Scholar |

CSIRO (1997) ‘CSIRO grassland fire spread meter.’ (Styrox Pty Ltd.)

Dupuy JL, Linn RR, Konovalov V, Pimont F, Vega JA, Jiménez E (2011) Exploring three-dimensional coupled fire–atmosphere interactions downwind of wind-driven surface fires and their influence on backfires using the HIGRAD-FIRETEC model. International Journal of Wildland Fire 20, 734-750.
| Crossref | Google Scholar |

Durre AM, Beer T (1989) ‘Wind information prediction study: Annaburroo meteorological data analysis’. Research Technical Paper 17. (CSIRO Atmospheric Research)

Fernandes PM, Botelho H, Rego F, Loureiro C (2008) Using fuel and weather variables to predict the sustainability of surface fire spread in maritime pine stands. Canadian Journal of Forest Research 38, 190-201.
| Crossref | Google Scholar |

Finney M, Pearce G, Strand T, Katurji M, Clements C (2018) New Zealand prescribed fire experiments to test convective heat transfer in wildland fires. In ‘Advances in Forest Fire Research 2018. Proceedings of the VII International Conference on Forest Fire Research’. pp. 10–16. (Universidade de Coimbra: Portugal)

Fons WL, Clements HB, George PM (1963) Scale effects on propagation rate of laboratory crib fires. Symposium (International) on Combustion 9, 860-866.
| Crossref | Google Scholar |

Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian Forest Fire Behavior Prediction System. Information Report ST-X-3. (Forestry Canada, Science and Sustainable Development Directorate: Ottawa, ON)

Gould JS (1991) Validation of the Rothermel fire spread model and related fuel parameters in grassland fuels. In ‘Proceedings of Conference on Bushfire Modelling and Fire Danger Rating Systems’, Yarralumla, ACT. 11–12 July 1988, pp. 51–64. (Eds NP Cheney, AM Gill) (CSIRO Division of Forestry: Canberra, ACT)

Gould JS, McCaw WL, Cheney NP, Ellis PE, Knight IK, Sullivan AL (2007) ‘Project Vesta – fire in dry eucalypt forest: fuel structure, fuel dynamics, and fire behaviour.’ (Ensis-CSIRO: Canberra, ACT and Department of Environment and Conservation: Perth, WA)

Hollis JJ, Matthews S, Fox-Hughes P, Grootemaat S, Heemstra S, Kenny BJ, Sauvage S (2024) Introduction to the Australian Fire Danger Rating System. International Journal of Wildland Fire 33(3),.
| Crossref | Google Scholar |

Katurji M, Noonan B, Zhang J, Valencia A, Schumacher B, Kerr J, Strand T, Pearce G, Zawar-Reza P (2023) Atmospheric turbulent structures and fire sweeps during shrub fires and implications for flaming zone behaviour. International Journal of Wildland Fire 32, 43-55.
| Crossref | Google Scholar |

Khanmohammadi S, Arashpour M, Golafshani EM, Cruz MG, Rajabifard A, Bai Y (2022) Prediction of wildfire rate of spread in grasslands using machine learning methods. Environmental Modelling & Software 156, 105507.
| Crossref | Google Scholar |

Matthews S (2010) Effect of drying temperature on fuel moisture content measurements. International Journal of Wildland Fire 19, 800-802.
| Crossref | Google Scholar |

McArthur AG (1973) ‘Grassland Fire Danger Meter Mk IV.’ (Commonwealth of Australia, Forestry and Timber Bureau: Canberra, ACT)

McCaw WL, Gould JS, Cheney NP, Ellis PFM, Anderson WR (2012) Changes in behaviour of fire in dry eucalypt forest as fuel increases with age. Forest Ecology and Management 271, 170-181.
| Crossref | Google Scholar |

Mell W, Jenkins MA, Gould J, Cheney P (2007) A physics-based approach to modelling grassland fires. International Journal of Wildland Fire 16, 1-22.
| Crossref | Google Scholar |

Moinuddin KAM, Sutherland D, Mell W (2018) Simulation study of grass fire using a physics-based model: striving towards numerical rigour and the effect of grass height on the rate of spread. International Journal of Wildland Fire 27, 800-814.
| Crossref | Google Scholar |

Morvan D (2011) Physical phenomena and length scales governing the behaviour of wildfires: a case for physical modelling. Fire Technology 47, 437-460.
| Crossref | Google Scholar |

Morvan D, Méradji S, Accary G (2009) Physical modelling of fire spread in grasslands. Fire Safety Journal 44, 50-61.
| Crossref | Google Scholar |

Plucinski MP, Sullivan AL, Rucinski CJ, Prakash M (2017) Improving the reliability and utility of operational bushfire behaviour predictions in Australian vegetation. Environmental Modelling & Software 91, 1-12.
| Crossref | Google Scholar |

Stocks BJ, Alexander ME, Lanoville RA (2004) Overview of the International Crown Fire Modelling Experiment (ICFME). Canadian Journal of Forest Research 34, 1543-1547.
| Crossref | Google Scholar |

Sullivan AL (2007) Convective Froude number and Byram’s energy criterion of Australian experimental grassland fires. Proceedings of the Combustion Institute 31, 2557-2564.
| Crossref | Google Scholar |

Sullivan AL (2010) Grassland fire management in future climate. Advances in Agronomy 106, 173-208.
| Crossref | Google Scholar |

Van Wagner CE (1977) Conditions for the start and spread of crown fire. Canadian Journal of Forest Research 7, 23-34.
| Crossref | Google Scholar |