Package: CSTools 5.3.1

Victoria Agudetse

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

Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project and includes contributions from ArticXchange project founded by EU-PolarNet 2. Implements methods described in Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>, Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>, Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>, Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>, Straus et al. (2007) <doi:10.1175/JCLI4070.1>, Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>, Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>, D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>, Verfaillie et al. (2017) <doi:10.5194/gmd-10-4257-2017>, Van Schaeybroeck et al. (2019) <doi:10.1016/B978-0-12-812372-0.00010-8>, Yiou et al. (2013) <doi:10.1007/s00382-012-1626-3>.

Authors:Nuria Perez-Zanon [aut], Louis-Philippe Caron [aut], Carmen Alvarez-Castro [aut], Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut], Llorenç LLedo [aut], Nicolau Manubens [aut], Lluís Palma [aut], Eroteida Sanchez-Garcia [aut], Bert van Schaeybroeck [aut], Veronica Torralba [aut], Deborah Verfaillie [aut], Eva Rifà [ctb], Filippo Cali Quaglia [ctb], Maria M. Chaves-Montero [ctb], Chihchung Chou [ctb], Nicola Cortesi [ctb], Susanna Corti [ctb], Paolo Davini [ctb], Gildas Dayon [ctb], Marta Dominguez [ctb], Federico Fabiano [ctb], Ignazio Giuntoli [ctb], Raul Marcos [ctb], Paola Marson [ctb], Niti Mishra [ctb], Jesus Peña [ctb], Francesc Roura-Adserias [ctb], Silvia Terzago [ctb], Danila Volpi [ctb], An-Chi Ho [ctb], Victoria Agudetse [ctb, cre], Theertha Kariyathan [ctb], BSC-CNS [cph]

CSTools_5.3.1.tar.gz
CSTools_5.3.1.tar.gz(r-4.6-arm64)CSTools_5.3.1.tar.gz(r-4.6-x86_64)CSTools_5.3.1.tar.gz(r-4.5-arm64)CSTools_5.3.1.tar.gz(r-4.5-x86_64)
CSTools_5.3.1.tgz(r-4.5-emscripten)
CSTools.pdf |CSTools.html✨
CSTools/json (API)
NEWS

# Install 'CSTools' in R:

install.packages('CSTools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

6.11 score 2 stars 3 packages 69 scripts 1.0k downloads 74 exports 75 dependencies

Last updated from:2fd2d873b8. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	246
linux-devel-x86_64	OK	232
source / vignettes	OK	265
linux-release-arm64	OK	248
linux-release-x86_64	OK	224
wasm-release	OK	428

Exports:AdamontAnalog AdamontQQCorr Analogs AreaWeighted as.s2dv_cube BEI_EMWeighting BEI_PDFBest BEI_ProbsWeighting BEI_TercilesWeighting BEI_Weights BiasCorrection BindDim Calibration CategoricalEnsCombination CST_AdamontAnalog CST_AdamontQQCorr CST_Analogs CST_AnalogsPredictors CST_Anomaly CST_AreaWeighted CST_BEI_Weighting CST_BiasCorrection CST_BindDim CST_Calibration CST_CategoricalEnsCombination CST_ChangeDimNames CST_DynBiasCorrection CST_EnsClustering CST_InsertDim CST_Load CST_MergeDims CST_MultiEOF CST_MultiMetric CST_MultivarRMSE CST_ProxiesAttractor CST_QuantileMapping CST_RainFARM CST_RegimesAssign CST_ReorderDims CST_RFSlope CST_RFTemp CST_RFWeights CST_SaveExp CST_SplitDim CST_Start CST_Subset CST_Summary CST_WeatherRegimes DynBiasCorrection EnsClustering EvalTrainIndices MergeDims MultiEOF MultiMetric PDFIndexHind PlotCombinedMap PlotForecastPDF PlotMostLikelyQuantileMap PlotPDFsOLE PlotTriangles4Categories PlotWeeklyClim Predictability ProxiesAttractor QuantileMapping RainFARM RegimesAssign RF_Weights RFSlope RFTemp s2dv_cube SaveExp SplitDim training_analogs WeatherRegime

Dependencies:abind BH bigmemory bigmemory.sri boot CircStats cli ClimProjDiags codetools cpp11 data.table digest doParallel dotCall64 dplyr dtw easyNCDF easyVerification farver fields fitdistrplus foreach future generics ggplot2 globals glue gtable isoband iterators labeling lattice lifecycle listenv lubridate magrittr mapproj maps MASS Matrix multiApply NbClust ncdf4 parallelly pbapply pillar pkgconfig plyr proxy qmap R6 rainfarmr RColorBrewer Rcpp RcppArmadillo reshape2 rlang s2dv S7 scales spam SpecsVerification startR stringi stringr survival tibble tidyselect timechange utf8 uuid vctrs verification viridisLite withr

Achiving Best Estimate Index

Eroteida Sánchez-García

Rendered fromBestEstimateIndex_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-04-06
Started: 2019-11-27

Analogs based on large scale for downscaling

M. Carmen Alvarez-Castro and M. del Mar Chaves-Montero (CMCC, Italy)

Rendered fromAnalogs_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-20
Started: 2021-02-23

Data Storage and Retrieval

Nuria Perez

Rendered fromData_Considerations.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2025-11-14
Started: 2021-02-23

Ensemble Clustering

Ignazio Giuntoli and Federico Fabiano - CNR-ISAC

Rendered fromENSclustering_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-18
Started: 2020-07-02

Most Likely Terciles

Louis-Philippe Caron and Núria Pérez-Zanón

Rendered fromMostLikelyTercile_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-20
Started: 2021-02-23

Multi-model Skill Assessment

Nuria Perez

Rendered fromMultiModelSkill_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-20
Started: 2019-04-24

Multivariate RMSE

Deborah Verfaillie

Rendered fromMultivarRMSE_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-20
Started: 2019-04-24

Plot Forecast PDFs

Francesc Roura-Adserias and Llorenç Lledó

Rendered fromPlotForecastPDF.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2023-10-20
Started: 2020-02-11

Rainfall Filtered Autoregressive Model (RainFARM) precipitation downscaling

Jost von Hardenberg (ISAC-CNR)

Rendered fromRainFARM_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2024-01-26
Started: 2019-04-24

Weather Regime Analysis

Verónica Torralba, Nicola Cortesi and Núria Pérez-Zanón

Rendered fromWeatherRegimes_vignette.Rmdusingknitr::knitron Apr 16 2026.

Last update: 2025-11-14
Started: 2020-07-02

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