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The computation of wildfire potential usually requires continuous daily data. The required variables are temperature, relative humidity, wind speed and precipitation. Thus, only six stations in the Ecuadroian Andean region were suitable for this study. The selected stations are representative of the ecosystems that are prone to wildfire. The available records in these stations spanned the period 1997-2012. Yet, the period of analysis is short. Reanalysis data was bias-corrected to extend the availability of records.   The bias-correction was necessary for several reasons. First, 1000 hPa reanalysis data does not represent surface level values. There was a 3-hour difference between the time of the two dataset's values . values.  Reanalysis data in the highlands may differ in quality to those at sea-level. Thus, we plotted probability density functions (PDFs) of the reanalysis and weather station datasets. This allowed to determine the differences between their data distributions. Applying linear scaling techniques was a suitable approach to bias-correct the required variables. The aim of the study was to estimate wildfire potential for the entire country. Thus, a calculation of daily averages for each variable yielded regional values. With the reanalysis dataset the procedure is straightforward. These data is spatially and temporally continuous. However, the weather stations data had some missing days. Therefore, calculating averages over daily anomalies made the result less sensitive to missing data.  
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  Two approaches drove the investigation of ENSO's link over wildfire seasons. Firstly, it was important to know the influence of ENSO in the months leading the wildfire season JAS. Thus, linear correlations of seasonal averages of SOI and Nino 3.4 with JAS FFDI values allowed to establish this relationship. This averages comprised three-months seasons starting from October-November-December (OND) of the previous year. The correlation included the SOI and Nino 3.4 values for the concurrent JAS season. A second approach compared the extreme wildfire seasons with ENSO's categories of intensity. We used the categories proposed by the National Oceanic and Atmospheric Administration (NOAA).   \section{Results}  \section{Discussion}  \section{Concluding remarks} 
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