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. The estimation of moisture,content of dead fuels is a critical variable in fire danger,assessment,since it is strongly related to fire ignition and fire spread potential. This study evaluates the accuracy,of two well-known,meteoro- logical moisture codes, the Canadian Fine Fuels Moisture Content and the US 10-h, to estimate fuel moisture content of dead fuels in Mediterranean,areas. Cured grasses and litter have been used for this study. The study was conducted,in two phases. The former aimed to select the most efficient code, and the latter to produce a spatial representation of that index for operational assessment,of fire danger,conditions. The first phase required calibration and validation of an estimation model,based on regression analysis. Field samples,were collected in the Cabañeros National Park (Central Spain) for a six-year period (1998–2003). The estimations were more,accurate for litter (r, 0.11). In addition, grasslands showed higher variability in the trends among the study years. The two moisture codes evaluated in this paper offered similar trends, therefore, the 10-h code was selected since it is simpler to compute. The second,phase was,based on interpolating the required meteorological,variables (temperature and relative humidity) to compute,the 10-h moisture code. The interpolation was based on European Centre for Medium,Range Weather Forecast- ing (ECMWF) predictions. Finally, a simple method to combine the estimations of dead fuel moisture content with other variables associated to fire danger is presented in this paper. This method,estimates the probability of ignition based on the moisture,of extinction of each fuel type. Additional keywords: dead fuel moisture content, fire danger assessment, meteorological data.

Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment