Folder Results/Communication :
	Folder ~/Sensitivity :
		-- XXX_Method_ParamToBeTested_n_nboot.csv : 
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				Method="SRC" or "Sobol"
				n see programs
				nboot see programs
			generated by : R functions Sobol_Procedure or SRC_Procedure
			used by : Scilab function Compute_Sol.sce
			Structure : a (m * p) matrix of m sets of parameters to be tested on scilab for the model XXX
		-- XXX_Method_Climatology_ComputedResults_n_nboot.csv
			nomenclature :
				XXX="WCT", "MAC", "AM", "ABP"
				Method="SRC" or "Sobol"
				n see programs
				nboot see programs
			generated by : Scilab function Compute_Sol.sce
			used by : R functions Sobol_Procedure or SRC_Procedure
			Structure : a (m * 4) matrix of the m answers to the m sets of parameters

	Folder ~/Verification :
		-- XXX_ensemble_correct_MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1_SimulatedCases.csv
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the models predictions
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ContinuousScores.R
			Structure : p1(y1)…p9(y1)p1(y2)…p9(y2)…p1(y24)…p9(y24)
					where p1…p9 are the 9 predictions of the members of the model ensemble, and y1…y24 the 24 starting years for the simulations
		-- XXX_ensemble_correct_MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1_Prob_Eventev_SimulatedCases.csv
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the models predictions
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
				ev=1 or 2 évent taken into account for the probabilities
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ProbalisticScores.R
			Structure : vector of the 24 probabilities of event ev to occur at each year
		-- MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1_PositiveCases.csv
			nomenclature : 
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ContinuousScores.R
			Structure : vector of the 24 observed data for the 24 years at month Sm+L-1
		-- MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1_BaselineCases.csv
			nomenclature : 
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ContinuousScores.R
			Structure : vector of the 24 climatology of cases for the 24 years at month Sm+L-1
		-- MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1__Bin_Eventev_PositiveCases.csv
			nomenclature : 
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
				ev=1 or 2
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ContinuousScores.R
			Structure : vector of the 24 binary observations for the event ev on the 24 years
		-- MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1__Bin_Eventev_BaselineCases.csv
			nomenclature : 
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
				ev=1 or 2
			generated by : Scilab function Verification_MontlyMean.sce
			used by : R function ContinuousScores.R
			Structure : vector of the 24 binary climatology for the event ev on the 24 years
		-- MultiModel_Cor_control_threshold=threshold_single_correct_MonthlyMean_An_Start_Month_Sm_Pred_Month_Sm+L-1_SimulatedCases.csv
			nomenclature : 
				control="Control", "NoControl" control of the negative predictions or not
				threshold= 0.1 , 0.05 
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the entries models predictions
				An="" or "Anomalies" : anomalies or nominal values
				Sm=1:12 starting month
				L=1:3 lead time
			generated by : R function ComputeMultiModel.R
			used by : R function ContinuousScores.R
			Structure : vector of the 24 predictions of the multi model for the 24 years
		-- MultiModel_Cor_control_threshold=threshold_single_correct_Number_of_controlled_results.csv
			nomenclature : 
				control="Control", "NoControl" control of the negative predictions or not
				threshold= 0.1 , 0.05 
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the entries models predictions
			generated by : R function ComputeMultiModel.R
			used by : R function ContinuousScores.R
			Structure : vector of the number of controlled predictions for each Sm, L

Folder Results/Results :
	Folder ~/Sensitivity :
		-- XXX_Method_Indices_Ind_n_nboot_season.csv
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				Method="SRC" or "Sobol"
				Ind= "First_Order" or "Total"
				n see programs
				nboot see programs
				season = "Autumn", "Summer", "Spring" , "Winter"
			generated by : R functions Sobol_Procedure or SRC_Procedure
			used by : NONE
			Structure : a (p * 6) matrix containing the indices of each parameter
	Folder ~/Skills :
		-- XXX_ensemble_correct_MonthlyMean_An__Continuous_Skill_Scores_3_Month_Predictions.csv
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the models predictions
				An="" or "Anomalies" : anomalies or nominal values
			generated by : R function ContinuousScores.R
			used by : R function ExctractScores.R
			Structure : a (m * 3) matrix containing the scores for every staring month and lead time
		-- XXX_ensemble_correct_Eventev_MonthlyMean_An__Probabilistic_Skill_Scores_3_Month_Predictions.csv
			nomenclature : 
				XXX="WCT", "MAC", "AM", "ABP"
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the models predictions
				An="" or "Anomalies" : anomalies or nominal values
				ev=1 or 2 évent taken into account for the probabilities
			generated by : R function ContinuousScores.R
			used by : R function ExctractScores.R
			Structure : a (m * 3) matrix containing the probabilistic scores for event ev for every staring month and lead time
		-- MultiModel_Cor_control_threshold=threshold_single_correct_MonthlyMean_An__Continuous_Skill_Scores_3_Month_Predictions.csv
			nomenclature : 
				control="Control", "NoControl" control of the negative predictions or not
				threshold= 0.1 , 0.05 
				correct="uncorrected", "corrected_SMC", "corrected_SLC" nature of the correction applied to the entries models predictions
				An="" or "Anomalies" : anomalies or nominal values
			generated by : R function ContinuousScores.R
			used by : R function ExctractScores.R
			Structure : a (m * 3) matrix containing the scores for every staring month and lead time