Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3143-2022
https://doi.org/10.5194/nhess-22-3143-2022
Research article
 | 
06 Oct 2022
Research article |  | 06 Oct 2022

The 2017 Split wildfire in Croatia: evolution and the role of meteorological conditions

Ivana Čavlina Tomašević, Kevin K. W. Cheung, Višnjica Vučetić, Paul Fox-Hughes, Kristian Horvath, Maja Telišman Prtenjak, Paul J. Beggs, Barbara Malečić, and Velimir Milić

Related authors

Meteorological Analysis of the Forcett-Dunalley Wildfire in 2013 in Tasmania, Australia
Ivana Čavlina Tomašević, Paul Fox-Hughes, Kevin Cheung, Višnjica Vučetić, Jon Marsden-Smedley, Paul Beggs, and Maja Telišman Prtenjak
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-210,https://doi.org/10.5194/nhess-2023-210, 2024
Preprint under review for NHESS
Short summary

Related subject area

Other Hazards (e.g., Glacial and Snow Hazards, Karst, Wildfires Hazards, and Medical Geo-Hazards)
A regional early warning for slushflow hazard
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024,https://doi.org/10.5194/nhess-24-1185-2024, 2024
Short summary
A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024,https://doi.org/10.5194/nhess-24-999-2024, 2024
Short summary
Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024,https://doi.org/10.5194/nhess-24-947-2024, 2024
Short summary
Improving the fire weather index system for peatlands using peat-specific hydrological input data
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024,https://doi.org/10.5194/nhess-24-445-2024, 2024
Short summary
Brief communication: The Lahaina Fire disaster – how models can be used to understand and predict wildfires
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024,https://doi.org/10.5194/nhess-24-47-2024, 2024
Short summary

Cited articles

Abatzoglou, J. T., Hatchett, B. J., Fox-Hughes, P., Gershunov, A., and Nauslar, N. J.: Global climatology of synoptically-forced downslope winds, Int. J. Climatol., 41, 1–20, https://doi.org/10.1002/joc.6607, 2020. 
ALADIN International Team: The ALADIN project: Mesoscale modelling seen as a basic tool for weather forecasting and atmospheric research, WMO Bull., 46, 317–324, 1997. 
Beals, A.: The value of weather forecasts in the problem of protecting forests from fire, Mon. Weather Rev., 42, 111–119, https://doi.org/10.1175/1520-0493(1914)42<111:TVOWFI>2.0.CO;2, 1914. 
Belušić, A., Telišman Prtenjak, M., Güttler, I., Ban, N., Leutwyler, D., and Schär, C.: Near-surface wind variability over the broader Adriatic region: insights from an ensemble of regional climate models, Clim. Dynam., 50, 4455–4480, https://doi.org/10.1007/s00382-017-3885-5, 2018. 
Bento-Gançalves, A. and Vieira, A.: Wildfires in the wildland-urban interface: Key concepts and evaluation methodologies, Sci. Total Environ., 707, 135592, https://doi.org/10.1016/j.scitotenv.2019.135592, 2019. 
Download
Short summary
One of the most severe and impactful urban wildfire events in Croatian history has been reconstructed and analyzed. The study identified some important meteorological influences related to the event: the synoptic conditions of the Azores anticyclone, cold front, and upper-level shortwave trough all led to the highest fire weather index in 2017. A low-level jet, locally known as bura wind that can be explained by hydraulic jump theory, was the dynamic trigger of the event.
Altmetrics
Final-revised paper
Preprint