Articles | Volume 20, issue 4
Nat. Hazards Earth Syst. Sci., 20, 1123–1147, 2020
https://doi.org/10.5194/nhess-20-1123-2020
Nat. Hazards Earth Syst. Sci., 20, 1123–1147, 2020
https://doi.org/10.5194/nhess-20-1123-2020

Research article 27 Apr 2020

Research article | 27 Apr 2020

Evaluation of Global Fire Weather Database reanalysis and short-term forecast products

Robert D. Field

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Cited articles

Abatzoglou, J. T., Williams, A. P., Boschetti, L., Zubkova, M., and Kolden, C. A.: Global patterns of interannual climate-fire relationships, Glob. Change Biol., 24, 5164–5175, https://doi.org/10.1111/gcb.14405, 2018. 
Alexander, M. E. and de Groot, W. J.: Fire behavior in jack pine stands as related to the Canadian Forest Fire Weather Index (FWI) System, Canadian Forestry Service, Northwest Region, Edmonton, Canada, 1988. 
Arino, O., Perez, R., Julio, J., Kalogirou, V., Bontemps, S., Defourny, P., and Van Bogaert, E.: Global Land Cover Map for 2009 (GlobCover 2009), European Space Agency (ESA) & Universite catholique de Louvain (UCL), PANGAEA, https://doi.org/10.1594/PANGAEA.787668, 2012. 
Bedia, J., Herrera, S., Gutiérrez, J. M., Zavala, G., Urbieta, I. R., and Moreno, J. M.: Sensitivity of fire weather index to different reanalysis products in the Iberian Peninsula, Nat. Hazards Earth Syst. Sci., 12, 699–708, https://doi.org/10.5194/nhess-12-699-2012, 2012. 
Bedia, J., Golding, N., Casanueva, A., Iturbide, M., Buontempo, C., and Gutiérrez, J. M.: Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe, Climate Services, 9, 101–110, https://doi.org/10.1016/j.cliser.2017.04.001, 2018. 
Short summary
This paper compares fire weather indices calculated from the NASA MERRA-2 reanlaysis to those calculated from a global network of weather stations, finding that, globally, biases in reanalysis fire weather are influenced firstly by temperature and relative humidity and, in certain regions, by precipitation biases. Fire weather forecasts using short-term NASA GEOS-5 weather forecasts are skillful 2 d ahead of time. This skill decreases more quickly with longer lead times at high latitudes.
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