Articles | Volume 22, issue 2
Nat. Hazards Earth Syst. Sci., 22, 509–522, 2022
https://doi.org/10.5194/nhess-22-509-2022
Nat. Hazards Earth Syst. Sci., 22, 509–522, 2022
https://doi.org/10.5194/nhess-22-509-2022
Research article
16 Feb 2022
Research article | 16 Feb 2022

Wildfire–atmosphere interaction index for extreme-fire behaviour

Tomàs Artés et al.

Related authors

Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales
Carolina Gallo, Jonathan M. Eden, Bastien Dieppois, Igor Drobyshev, Peter Z. Fulé, Jesús San-Miguel-Ayanz, and Matthew Blackett
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-223,https://doi.org/10.5194/gmd-2022-223, 2022
Preprint under review for GMD
Short summary
Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system
Francesca Di Giuseppe, Claudia Vitolo, Blazej Krzeminski, Christopher Barnard, Pedro Maciel, and Jesús San-Miguel
Nat. Hazards Earth Syst. Sci., 20, 2365–2378, https://doi.org/10.5194/nhess-20-2365-2020,https://doi.org/10.5194/nhess-20-2365-2020, 2020
Short summary

Related subject area

Other Hazards (e.g., Glacial and Snow Hazards, Karst, Wildfires Hazards, and Medical Geo-Hazards)
Equivalent hazard magnitude scale
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022,https://doi.org/10.5194/nhess-22-4103-2022, 2022
Short summary
Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022,https://doi.org/10.5194/nhess-22-4039-2022, 2022
Short summary
Drivers of extreme burnt area in Portugal: fire weather and vegetation
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022,https://doi.org/10.5194/nhess-22-4019-2022, 2022
Short summary
Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022,https://doi.org/10.5194/nhess-22-3917-2022, 2022
Short summary
Glacial lake outburst flood hazard under current and future conditions: worst-case scenarios in a transboundary Himalayan basin
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022,https://doi.org/10.5194/nhess-22-3765-2022, 2022
Short summary

Cited articles

Artés, T., Oom, D., De Rigo, D., Durrant, T. H., Maianti, P., Libertà, G., and San-Miguel-Ayanz, J.: A global wildfire dataset for the analysis of fire regimes and fire behaviour, Scientific Data, 6, 1–11, 2019. a
Bagley, R. B. and Clements, C. B.: Extreme fire weather associated with nocturnal drying in elevated coastal terrain of California, Mon. Weather Rev., 149, 2497–2511, 2021. a
Balch, J., Bradley, B., Abatzoglou, J., Nagy, R., Fusco, E., and Mahood, A.: Human-started wildfires expand the fire niche across the United States, P. Natl. Acad. Sci. USA, 114, 2–946, 2017. a
Baptiste Filippi, J., Bosseur, F., Mari, C., Lac, C., Le Moigne, P., Cuenot, B., Veynante, D., Cariolle, D., and Balbi, J.-H.: Coupled atmosphere-wildland fire modelling, J. Adv. Model. Earth Sy., 1, 11, https://doi.org/10.3894/JAMES.2009.1.11, 2009. a
Boschetti, L., Roy, D. P., Giglio, L., Huang, H., Zubkova, M., and Humber, M. L.: Global validation of the collection 6 MODIS burned area product, Remote Sens. Environ., 235, 111490, https://doi.org/10.1016/j.rse.2019.111490, 2019. a
Download
Short summary
During the last 20 years extreme wildfires have challenged firefighting capabilities. Several fire danger indices are routinely used by firefighting services but are not suited to forecast convective extreme wildfire behaviour at the global scale. This article proposes a new fire danger index for deep moist convection, the extreme-fire behaviour index (EFBI), based on the analysis of the vertical profiles of the atmosphere above wildfires to use along with traditional fire danger indices.
Altmetrics
Final-revised paper
Preprint