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


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Documentation for package ‘CSTools’ version 5.2.0

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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