
These are the input parameters that provide the results corresponding to a study of predictability of rainfall in the western Sahel (12.5ºN - 17.5ºN / 10.5ºN - 18.5ºN) from sea surface temperature anomalies in the tropical Atlantic (20ºS - 5ºN / 60ºW - 20ºE). Once typed 'S4cast'the user must enter them exactly as they appear below:


Enter the NetCDF file containing the predictand data in the path 
/S4CAST_v2.0/data_files/predictor/


Press enter to continue 


PREDICTAND data available from Jan-1901 to Nov-2014
 

Enter the NetCDF file containing the predictor data in the path 
/S4CAST_v2.0/data_files/predictand 


Press enter to continue 


PREDICTOR data available from Jan-1854 to Jan-2015
 

Select a common analysis period 


The common longest analysis period extends from Jan-1902 to Nov-2014 


Do you want to select this period? y/n 

 'y'


The selected analysis period extends from Jan-1902 to Nov-2014 


Select the forecast period 

Type 1 to select a set of months 

Type 2 to select one month 

 1


Enter the forecast period using the initials of the months

 'JAS'


2015 forecast available from lead time 5 (monthly lag 8) to lead time 6 (monthly lag 9) 


Enter PREDICTAND spatial domain 

West longitude from -179.5 to 179.5 

 -18

East longitude from -179.5 to 179.5 

 -10

South latitude from -89.5 to 89.5 

 12

North latitude from -89.5 to 89.5 

 18

Do you want to standardize the predictand? y/n 

 'y'

Do you want to apply a Butterworth filter to the predictand? y/n 

 'n'


Enter PREDICTOR spatial domain 

West longitude from -180 to 178 

 -60

East longitude from -180 to 178 

 20

South latitude from -88 to 88 

 -20

North latitude from -88 to 88 

 5

Do you want to standardize the predictor? y/n 

 'n'

Do you want to apply a Butterworth filter to the predictor? y/n 

 'y'

Type 1 to apply a high pass filter 

Type 2 to apply a low pass filter 

 1

Introduce the cutoff frequency 

 7


Select the predictor monthly periods 

Type 1 to select a set of chronological monthly periods 

Type 2 to select one monthly period 

 2

Enter the monthly lag regarding the predictand 

 3


2015 forecast not available 


Select the number of modes for MCA analysis 


Do you want to select a set of modes? y/n 

 'n'

Enter the mode number 

 1


To asses the stationarity the model will analize 21 years moving correlation windows 
between the expansion coefficients of the PREDICTOR and PREDICTAND fields obtained from MCA method 

Indicate delayed, centered or advanced moving correlation windows 

 'delayed'


To assess the significant stationarity periods, indicate the degree of statistical significance from 0 to 100 

 90


To validate the model skill, indicate the degree of statistical significance from 0 to 100 

 90

