solving year_forecast issue

First attempt to fix year_forecast for leap years, this is a temporary fixing MV must check it thoroughly and foun the definitive solution

src/aclimate_resampling/resampling.py

@@ -284,7 +284,7 @@ def forecast_station(self, station, prob, daily_data_root, output_root, year_for
 
       # Adjust the year if the forecast period is 'tri' if necessary
       if  any(np.isin(season, tri_seasons)) :
-         year_forecast = year_forecast+1
+         year_forecast = year_forecast #+1
 
       # Check if year of forecast is a leap year for February
       leap_forecast = (year_forecast%400 == 0) or (year_forecast%4==0 and year_forecast%100!=0)
@@ -618,4 +618,4 @@ def resampling(self):
                                                   ).compute(scheduler='processes')
     return sample
 
-
+