Package: CSTools 5.2.0

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'. '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 [cre], BSC-CNS [cph]

CSTools_5.2.0.tar.gz
CSTools_5.2.0.tar.gz(r-4.5-noble)CSTools_5.2.0.tar.gz(r-4.4-noble)
CSTools_5.2.0.tgz(r-4.4-emscripten)CSTools_5.2.0.tgz(r-4.3-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'))

Peer review:

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

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

fortran

5.27 score 2 stars 1 packages 62 scripts 938 downloads 67 exports 78 dependencies

Last updated 11 months agofrom:0d14182cf5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linux-x86_64OKDec 21 2024

Exports:AdamontAnalogAdamontQQCorrAnalogsas.s2dv_cubeBEI_EMWeightingBEI_PDFBestBEI_ProbsWeightingBEI_TercilesWeightingBEI_WeightsBiasCorrectionCalibrationCategoricalEnsCombinationCST_AdamontAnalogCST_AdamontQQCorrCST_AnalogsCST_AnalogsPredictorsCST_AnomalyCST_BEI_WeightingCST_BiasCorrectionCST_CalibrationCST_CategoricalEnsCombinationCST_ChangeDimNamesCST_DynBiasCorrectionCST_EnsClusteringCST_InsertDimCST_LoadCST_MergeDimsCST_MultiEOFCST_MultiMetricCST_MultivarRMSECST_ProxiesAttractorCST_QuantileMappingCST_RainFARMCST_RegimesAssignCST_RFSlopeCST_RFTempCST_RFWeightsCST_SaveExpCST_SplitDimCST_StartCST_SubsetCST_WeatherRegimesDynBiasCorrectionEnsClusteringMergeDimsMultiEOFMultiMetricPDFIndexHindPlotCombinedMapPlotForecastPDFPlotMostLikelyQuantileMapPlotPDFsOLEPlotTriangles4CategoriesPlotWeeklyClimPredictabilityProxiesAttractorQuantileMappingRainFARMRegimesAssignRF_WeightsRFSlopeRFTemps2dv_cubeSaveExpSplitDimtraining_analogsWeatherRegime

Dependencies:abindBHbigmemorybigmemory.sribootCircStatscliClimProjDiagscodetoolscolorspacecpp11data.tabledigestdoParalleldotCall64dtweasyNCDFeasyVerificationfansifarverfieldsfitdistrplusforeachfuturegenericsggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvlubridatemagrittrmapprojmapsMASSMatrixmgcvmultiApplymunsellNbClustncdf4nlmeparallellypbapplyPCICtpillarpkgconfigplyrproxyqmapR6rainfarmrRColorBrewerRcppRcppArmadilloreshape2rlangs2dvscalesspamSpecsVerificationstartRstringistringrsurvivaltibbletimechangeutf8uuidvctrsverificationviridisLitewithr

Achiving Best Estimate Index

Eroteida Sánchez-García

Rendered fromBestEstimateIndex_vignette.Rmdusingknitr::knitron Dec 21 2024.

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 Dec 21 2024.

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

Data Storage and Retrieval

Nuria Perez

Rendered fromData_Considerations.Rmdusingknitr::knitron Dec 21 2024.

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

Ensemble Clustering

Ignazio Giuntoli and Federico Fabiano - CNR-ISAC

Rendered fromENSclustering_vignette.Rmdusingknitr::knitron Dec 21 2024.

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

Most Likely Terciles

Louis-Philippe Caron and Núria Pérez-Zanón

Rendered fromMostLikelyTercile_vignette.Rmdusingknitr::knitron Dec 21 2024.

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

Multi-model Skill Assessment

Nuria Perez

Rendered fromMultiModelSkill_vignette.Rmdusingknitr::knitron Dec 21 2024.

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

Multivariate RMSE

Deborah Verfaillie

Rendered fromMultivarRMSE_vignette.Rmdusingknitr::knitron Dec 21 2024.

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

Plot Forecast PDFs

Francesc Roura-Adserias and Llorenç Lledó

Rendered fromPlotForecastPDF.Rmdusingknitr::knitron Dec 21 2024.

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 Dec 21 2024.

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 Dec 21 2024.

Last update: 2023-10-20
Started: 2020-07-02

Readme and manuals

Help Manual

Help pageTopics
AdamontQQCorr computes quantile-quantile correction of seasonal or decadal forecast data using weather typesAdamontQQCorr
Analogs based on large scale fields.Analogs
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 SFSsBEI_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 adjustmentBiasCorrection
Forecast CalibrationCalibration
Make categorical forecast based on a multi-model forecast with potential for calibrateCategoricalEnsCombination
CST_AdamontAnalog finds analogous data in the reference dataset to experiment data based on weather typesAdamontAnalog CST_AdamontAnalog
CST_AdamontQQCorr computes quantile-quantile correction of seasonal or decadal forecast data using weather typesCST_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-validationCST_Anomaly
Weighting SFSs of a CSTools object.CST_BEI_Weighting
Bias Correction based on the mean and standard deviation adjustmentCST_BiasCorrection
Forecast CalibrationCST_Calibration
Make categorical forecast based on a multi-model forecast with potential for calibrateCST_CategoricalEnsCombination
Change the name of one or more dimensions for an object of class s2dv_cubeCST_ChangeDimNames
Performing a Bias Correction conditioned by the dynamical properties of the data.CST_DynBiasCorrection
Ensemble clusteringCST_EnsClustering
Add a named dimension to an object of class s2dv_cubeCST_InsertDim
CSTools Data Retreival FunctionCST_Load
Function to Merge DimensionsCST_MergeDims
EOF analysis of multiple variablesCST_MultiEOF
Multiple Metrics applied in Multiple Model AnomaliesCST_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 dataCST_QuantileMapping
RainFARM stochastic precipitation downscaling of a CSTools objectCST_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
RainFARM spectral slopes from a CSTools objectCST_RFSlope
Temperature downscaling of a CSTools object using lapse rate correction or a reference fieldCST_RFTemp
Compute climatological weights for RainFARM stochastic precipitation downscalingCST_RFWeights
Save objects of class 's2dv_cube' to data in NetCDF formatCST_SaveExp
Function to Split DimensionCST_SplitDim
CSTools data retrieval function using StartCST_Start
Subset an object of class s2dv_cubeCST_Subset
Function for Calculating the Cluster analysisCST_WeatherRegimes
Performing a Bias Correction conditioned by the dynamical properties of the data.DynBiasCorrection
Ensemble clusteringEnsClustering
Sample Of Experimental Precipitation Data In Function Of Longitudes And Latitudeslonlat_prec
Sample Of Experimental Precipitation Data In Function Of Longitudes And Latitudes with Startlonlat_prec_st
Sample Of Experimental And Observational Climate Data In Function Of Longitudes And Latitudeslonlat_temp
Sample Of Experimental And Observational Climate Data In Function Of Longitudes And Latitudes with Startlonlat_temp_st
Function to Split DimensionMergeDims
EOF analysis of multiple variables starting from an array (reduced version)MultiEOF
Multiple Metrics applied in Multiple Model AnomaliesMultiMetric
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 FunctionPlotCombinedMap
Plot one or multiple ensemble forecast pdfs for the same eventPlotForecastPDF
Plot Maps of Most Likely QuantilesPlotMostLikelyQuantileMap
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 dataPlotWeeklyClim
Computing scores of predictability using two dynamical proxies based on dynamical systems theory.Predictability
Print method for s2dv_cube objectsprint.s2dv_cube
Computing two dinamical proxies of the attractor.ProxiesAttractor
Quantile Mapping for seasonal or decadal forecast dataQuantileMapping
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 downscalingRF_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' objects2dv_cube
Save a multidimensional array with metadata to data in NetCDF formatSaveExp
Function to Split DimensionSplitDim
AEMET Training Training method (pre-downscaling) based on analogs: synoptic situations and significant predictors.training_analogs
Function for Calculating the Cluster analysisWeatherRegime