Forest fire danger rating in complex topography - results from a case study in the Bavarian Alps in autumn 2011

Abstract. Forest fire danger rating based on sparse meteorological stations is known to be potentially misleading when assigned to larger areas of complex topography. This case study examines several fire danger indices based on data from two meteorological stations at different elevations during a major drought period. This drought was caused by a persistent high pressure system, inducing a pronounced temperature inversion and its associated thermal belt with much warmer, dryer conditions in intermediate elevations. Thus, a massive drying of fuels, leading to higher fire danger levels, and multiple fire occurrences at mid-slope positions were contrasted by moderate fire danger especially in the valleys. The ability of fire danger indices to resolve this situation was studied based on a comparison with the actual fire danger as determined from expert observations, fire occurrences and fuel moisture measurements. The results revealed that, during temperature inversion, differences in daily cycles of meteorological parameters influence fire danger and that these are not resolved by standard meteorological stations and fire danger indices (calculated on a once-a-day basis). Additional stations in higher locations or high-resolution meteorological models combined with fire danger indices accepting at least hourly input data may allow reasonable fire danger calculations under these circumstances.

[1]  J. Sharples,et al.  Modelling the Thermal Belt in an Australian Bushfire Context , 2011 .

[2]  K. Wittich A single-layer litter-moisture model for estimating forest-fire danger , 2005 .

[3]  Patricia L. Andrews,et al.  Introduction to wildland fire, 2nd edition revised , 1996 .

[4]  G. M. Byram,et al.  A Drought Index for Forest Fire Control , 1968 .

[5]  Kenneth P. Davis Forest Fire: Control and Use , 1959 .

[6]  Patricia L. Andrews,et al.  Fire behavior associated with the 1994 South Canyon fire on Storm King Mountain, Colorado , 1998 .

[7]  Van Wagner Equations and FORTRAN program for the Canadian Forest Fire Weather Index System , 1985 .

[8]  W. Jolly,et al.  Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support , 2011 .

[9]  Jesús San-Miguel-Ayanz,et al.  Fire danger rating in the European Forest Fire Information System (EFFIS): Current developments , 2006 .

[10]  C. E. V. Wagner A METHOD OF COMPUTING FINE FUEL MOISTURE CONTENT THROUGHOUT THE DIURNAL CYCLE , 1977 .

[11]  Scott L. Goodrick Modification of the Fosberg fire weather index to include drought , 2002 .

[12]  M. Millán,et al.  Meteorological processes relevant to forest fire dynamics on the Spanish Mediterranean coast , 1998 .

[13]  A. Gill,et al.  Spatial scale invariance of southern Australian forest fires mirrors the scaling behaviour of fire-driving weather events , 2008, Landscape Ecology.

[14]  N. Miller,et al.  Climate change projected fire weather sensitivity: California Santa Ana wind occurrence , 2006 .

[15]  C. E. Van Wagner,et al.  Development and structure of the Canadian Forest Fire Weather Index System , 1987 .

[16]  Ian R. Noble,et al.  McArthur's fire-danger meters expressed as equations , 1980 .

[17]  J. Sharples An overview of mountain meteorological effects relevant to fire behaviour and bushfire risk. , 2009 .

[18]  Jack D. Cohen,et al.  The 1978 National Fire-Danger Rating System: technical documentation , 1984 .

[19]  Jack D. Cohen,et al.  The national fire-danger rating system: basic equations , 1985 .

[20]  Stuart Matthews,et al.  Testing a process-based fine fuel moisture model in two forest types , 2007 .