Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales

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Documentation for package ‘CSTools’ version 5.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

AdamontAnalog	CST_AdamontAnalog finds analogous data in the reference dataset to experiment data based on weather types
AdamontQQCorr	AdamontQQCorr computes quantile-quantile correction of seasonal or decadal forecast data using weather types
Analogs	Analogs based on large scale fields.
as.s2dv_cube	Conversion of 'startR_array' or 'list' objects to 's2dv_cube'
BEI_EMWeighting	Computing the weighted ensemble means for SFSs.
BEI_PDFBest	Computing the Best Index PDFs combining Index PDFs from two SFSs
BEI_ProbsWeighting	Computing the weighted tercile probabilities for SFSs.
BEI_TercilesWeighting	Computing the weighted terciles for SFSs.
BEI_Weights	Computing the weights for SFSs using the Best Index PDFs.
BiasCorrection	Bias Correction based on the mean and standard deviation adjustment
Calibration	Forecast Calibration
CategoricalEnsCombination	Make categorical forecast based on a multi-model forecast with potential for calibrate
CST_AdamontAnalog	CST_AdamontAnalog finds analogous data in the reference dataset to experiment data based on weather types
CST_AdamontQQCorr	CST_AdamontQQCorr computes quantile-quantile correction of seasonal or decadal forecast data using weather types
CST_Analogs	Downscaling using Analogs based on large scale fields.
CST_AnalogsPredictors	AEMET Downscaling Precipitation and maximum and minimum temperature downscaling method based on analogs: synoptic situations and significant predictors.
CST_Anomaly	Anomalies relative to a climatology along selected dimension with or without cross-validation
CST_BEI_Weighting	Weighting SFSs of a CSTools object.
CST_BiasCorrection	Bias Correction based on the mean and standard deviation adjustment
CST_Calibration	Forecast Calibration
CST_CategoricalEnsCombination	Make categorical forecast based on a multi-model forecast with potential for calibrate
CST_ChangeDimNames	Change the name of one or more dimensions for an object of class s2dv_cube
CST_DynBiasCorrection	Performing a Bias Correction conditioned by the dynamical properties of the data.
CST_EnsClustering	Ensemble clustering
CST_InsertDim	Add a named dimension to an object of class s2dv_cube
CST_Load	CSTools Data Retreival Function
CST_MergeDims	Function to Merge Dimensions
CST_MultiEOF	EOF analysis of multiple variables
CST_MultiMetric	Multiple Metrics applied in Multiple Model Anomalies
CST_MultivarRMSE	Multivariate Root Mean Square Error (RMSE)
CST_ProxiesAttractor	Computing two dinamical proxies of the attractor in s2dv_cube.
CST_QuantileMapping	Quantile Mapping for seasonal or decadal forecast data
CST_RainFARM	RainFARM stochastic precipitation downscaling of a CSTools object
CST_RegimesAssign	Function for matching a field of anomalies with a set of maps used as a reference (e.g. clusters obtained from the WeatherRegime function)
CST_RFSlope	RainFARM spectral slopes from a CSTools object
CST_RFTemp	Temperature downscaling of a CSTools object using lapse rate correction or a reference field
CST_RFWeights	Compute climatological weights for RainFARM stochastic precipitation downscaling
CST_SaveExp	Save objects of class 's2dv_cube' to data in NetCDF format
CST_SplitDim	Function to Split Dimension
CST_Start	CSTools data retrieval function using Start
CST_Subset	Subset an object of class s2dv_cube
CST_WeatherRegimes	Function for Calculating the Cluster analysis
DynBiasCorrection	Performing a Bias Correction conditioned by the dynamical properties of the data.
EnsClustering	Ensemble clustering
lonlat_prec	Sample Of Experimental Precipitation Data In Function Of Longitudes And Latitudes
lonlat_prec_st	Sample Of Experimental Precipitation Data In Function Of Longitudes And Latitudes with Start
lonlat_temp	Sample Of Experimental And Observational Climate Data In Function Of Longitudes And Latitudes
lonlat_temp_st	Sample Of Experimental And Observational Climate Data In Function Of Longitudes And Latitudes with Start
MergeDims	Function to Split Dimension
MultiEOF	EOF analysis of multiple variables starting from an array (reduced version)
MultiMetric	Multiple Metrics applied in Multiple Model Anomalies
PDFIndexHind	Computing the Index PDFs for a dataset of SFSs for a hindcats period.
PlotCombinedMap	Plot Multiple Lon-Lat Variables In a Single Map According to a Decision Function
PlotForecastPDF	Plot one or multiple ensemble forecast pdfs for the same event
PlotMostLikelyQuantileMap	Plot Maps of Most Likely Quantiles
PlotPDFsOLE	Plotting two probability density gaussian functions and the optimal linear estimation (OLE) as result of combining them.
PlotTriangles4Categories	Function to convert any 3-d numerical array to a grid of coloured triangles.
PlotWeeklyClim	Plots the observed weekly means and climatology of a timeseries data
Predictability	Computing scores of predictability using two dynamical proxies based on dynamical systems theory.
print.s2dv_cube	Print method for s2dv_cube objects
ProxiesAttractor	Computing two dinamical proxies of the attractor.
QuantileMapping	Quantile Mapping for seasonal or decadal forecast data
RainFARM	RainFARM stochastic precipitation downscaling (reduced version)
RegimesAssign	Function for matching a field of anomalies with a set of maps used as a reference (e.g. clusters obtained from the WeatherRegime function).
RFSlope	RainFARM spectral slopes from an array (reduced version)
RFTemp	Temperature downscaling of a CSTools object using lapse rate correction (reduced version)
RF_Weights	Compute climatological weights for RainFARM stochastic precipitation downscaling
s2dv_cube	Creation of a 's2dv_cube' object
SaveExp	Save a multidimensional array with metadata to data in NetCDF format
SplitDim	Function to Split Dimension
training_analogs	AEMET Training Training method (pre-downscaling) based on analogs: synoptic situations and significant predictors.
WeatherRegime	Function for Calculating the Cluster analysis