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\section{Results}  Figure 1 shows the probability density distributions (PDFs) for each wildfire weather variable. This These  results represent the deviations between original WS and 20CR reanalysis data in the Ecuadorian Andean Region during the period 1997-2012. data.  All 20CR PDFs have deviations from the WS data. The daily deviations from the mean including all seasons are: are  8.9 \textsuperscript{o}C (Tmax), 11 (RH), 1.6 m/s (W) and 4.5 mm (P). Figure 2 presents time series of the same variables, type of data and period. The values correspond to seasonal averages for Tmax, RH and W; and sum for P W  duringthe wildfire season  July-August-September (JAS). P corresponds to a seasonal sum.  Pearson's linear correlation coefficients for 16 seasons are: a) Tmax (r=0.36,p=0.17), b) RH (r=0.14,p=0.59), c) W (r=0.52,p=0.04), and  d) P (r=0.33, p=0.21). The bias-correction process comprised the application of linear scaling techniques for every wildfire variable. However, the bias-corrected of all variables did not improve significantly the seasonal FFDI calculation. Only the bias-correction of maximum temperature improved the FFDI results. Thus, for this study we only show the bias-correction results for this variable.  
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