Package: s2dv 2.1.0

Ariadna Batalla

s2dv: A Set of Common Tools for Seasonal to Decadal Verification

The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The CDO version used in development is 1.9.8.

Authors:BSC-CNS [aut, cph], An-Chi Ho [aut], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Josep Cos [ctb], Carlos Delgado [ctb], Llorenç Lledó [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb], Eva Rifà [ctb], Victòria Agudetse [ctb], Nadia Milders [ctb], Ariadna Batalla [ctb, cre]

s2dv_2.1.0.tar.gz
s2dv_2.1.0.tar.gz(r-4.5-noble)s2dv_2.1.0.tar.gz(r-4.4-noble)
s2dv_2.1.0.tgz(r-4.4-emscripten)s2dv_2.1.0.tgz(r-4.3-emscripten)
s2dv.pdf |s2dv.html✨
s2dv/json (API)
NEWS

# Install 's2dv' in R:

install.packages('s2dv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

sampleDepthData - Sample of Experimental Data for Forecast Verification In Function Of Latitudes And Depths
sampleMap - Sample Of Observational And Experimental Data For Forecast Verification In Function Of Longitudes And Latitudes
sampleTimeSeries - Sample Of Observational And Experimental Data For Forecast Verification As Area Averages

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

2.53 score 3 packages 38 scripts 540 downloads 86 exports 23 dependencies

Last updated 1 months agofrom:fab89c35e8. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 13 2024
R-4.5-linux	OK	Nov 13 2024

Exports:AbsBiasSS ACC AMV AnimateMap Ano Ano_CrossValid Bias BrierScore CDORemap Clim clim.colors clim.palette Cluster ColorBar Composite ConfigAddEntry ConfigApplyMatchingEntries ConfigEditDefinition ConfigEditEntry ConfigFileCreate ConfigFileOpen ConfigFileSave ConfigRemoveDefinition ConfigRemoveEntry ConfigShowDefinitions ConfigShowSimilarEntries ConfigShowTable Consist_Trend Corr CRPS CRPSS DiffCorr Eno EOF EuroAtlanticTC Filter GetProbs GMST GSAT Histo2Hindcast InsertDim LeapYear Load MeanDims MSE MSSS NAO Persistence Plot2VarsVsLTime PlotACC PlotAno PlotBoxWhisker PlotClim PlotEquiMap PlotLayout PlotMatrix PlotSection PlotStereoMap PlotVsLTime ProbBins ProjectField RandomWalkTest RatioPredictableComponents RatioRMS RatioSDRMS Regression REOF Reorder ResidualCorr RMS RMSSS ROCSS RPS RPSS Season SignalNoiseRatio Smoothing Spectrum SPOD Spread SprErr StatSeasAtlHurr ToyModel TPI Trend UltimateBrier

Dependencies:abind BH bigmemory bigmemory.sri ClimProjDiags codetools doParallel easyNCDF easyVerification foreach iterators mapproj maps multiApply NbClust ncdf4 pbapply PCICt plyr Rcpp RcppArmadillo SpecsVerification uuid

Help page	Topics
Compute the Absolute Mean Bias Skill Score	AbsBiasSS
Compute the spatial anomaly correlation coefficient between the forecast and corresponding observation	ACC
Compute the Atlantic Multidecadal Variability (AMV) index	AMV
Animate Maps of Forecast/Observed Values or Scores Over Forecast Time	AnimateMap
Compute forecast or observation anomalies	Ano
Compute anomalies in cross-validation mode	Ano_CrossValid
Compute the Mean Bias	Bias
Compute Brier score, its decomposition, and Brier skill score	BrierScore
Interpolate arrays with longitude and latitude dimensions using CDO	CDORemap
Compute Bias Corrected Climatologies	Clim
Generate Climate Color Palettes	clim.colors clim.palette
K-means Clustering	Cluster
Draws a Color Bar	ColorBar
Compute composites	Composite
Apply Matching Entries To Dataset Name And Variable Name To Find Related Info	ConfigApplyMatchingEntries
Add Modify Or Remove Variable Definitions In Configuration	ConfigEditDefinition ConfigRemoveDefinition
Add, Remove Or Edit Entries In The Configuration	ConfigAddEntry ConfigEditEntry ConfigRemoveEntry
Functions To Create Open And Save Configuration File	ConfigFileCreate ConfigFileOpen ConfigFileSave
Find Similar Entries In Tables Of Datasets	ConfigShowSimilarEntries
Show Configuration Tables And Definitions	ConfigShowDefinitions ConfigShowTable
Compute trend using only model data for which observations are available	Consist_Trend
Compute the correlation coefficient between an array of forecast and their corresponding observation	Corr
Compute the Continuous Ranked Probability Score	CRPS
Compute the Continuous Ranked Probability Skill Score	CRPSS
Compute the correlation difference and its significance	DiffCorr
Compute effective sample size with classical method	Eno
Area-weighted empirical orthogonal function analysis using SVD	EOF
Teleconnection indices in European Atlantic Ocean region	EuroAtlanticTC
Filter frequency peaks from an array	Filter
Compute probabilistic forecasts or the corresponding observations	GetProbs
Compute the Global Mean Surface Temperature (GMST) anomalies	GMST
Compute the Global Surface Air Temperature (GSAT) anomalies	GSAT
Chunk long simulations for comparison with hindcasts	Histo2Hindcast
Add a named dimension to an array	InsertDim
Checks Whether A Year Is Leap Year	LeapYear
Loads Experimental And Observational Data	Load
Average an array along multiple dimensions	MeanDims
Compute mean square error	MSE
Compute mean square error skill score	MSSS
Compute the North Atlantic Oscillation (NAO) Index	NAO
Compute persistence	Persistence
Plot two scores with confidence intervals in a common plot	Plot2VarsVsLTime
Plot Plumes/Timeseries Of Anomaly Correlation Coefficients	PlotACC
Plot Anomaly time series	PlotAno
Box-And-Whisker Plot of Time Series with Ensemble Distribution	PlotBoxWhisker
Plots Climatologies	PlotClim
Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection	PlotEquiMap
Arrange and Fill Multi-Pannel Layouts With Optional Colour Bar	PlotLayout
Function to convert any numerical table to a grid of coloured squares.	PlotMatrix
Plots A Vertical Section	PlotSection
Maps A Two-Dimensional Variable On A Polar Stereographic Projection	PlotStereoMap
Plot a score along the forecast time with its confidence interval	PlotVsLTime
Compute probabilistic information of a forecast relative to a threshold or a quantile	ProbBins
Project anomalies onto modes of variability	ProjectField
Random Walk test for skill differences	RandomWalkTest
Calculate ratio of predictable components (RPC)	RatioPredictableComponents
Compute the ratio between the RMSE of two experiments	RatioRMS
Compute the ratio between the ensemble spread and RMSE	RatioSDRMS
Compute the regression of an array on another along one dimension.	Regression
Area-weighted empirical orthogonal function analysis with varimax rotation using SVD	REOF
Reorder the dimension of an array	Reorder
Compute the residual correlation and its significance	ResidualCorr
Compute root mean square error	RMS
Compute root mean square error skill score	RMSSS
Compute the Relative Operating Characteristic Skill Score	ROCSS
Compute the Ranked Probability Score	RPS
Compute the Ranked Probability Skill Score	RPSS
Sample of Experimental Data for Forecast Verification In Function Of Latitudes And Depths	sampleDepthData
Sample Of Observational And Experimental Data For Forecast Verification In Function Of Longitudes And Latitudes	sampleMap
Sample Of Observational And Experimental Data For Forecast Verification As Area Averages	sampleTimeSeries
Compute seasonal mean or other calculations	Season
Calculate Signal-to-noise ratio	SignalNoiseRatio
Smooth an array along one dimension	Smoothing
Estimate frequency spectrum	Spectrum
Compute the South Pacific Ocean Dipole (SPOD) index	SPOD
Compute interquartile range, maximum-minimum, standard deviation and median absolute deviation	Spread
Compute the ratio between the ensemble spread and RMSE	SprErr
Compute estimate of seasonal mean of Atlantic hurricane activity	StatSeasAtlHurr
Synthetic forecast generator imitating seasonal to decadal forecasts. The components of a forecast: (1) predictabiltiy (2) forecast error (3) non-stationarity and (4) ensemble generation. The forecast can be computed for real observations or observations generated artifically.	ToyModel
Compute the Tripole Index (TPI) for the Interdecadal Pacific Oscillation (IPO)	TPI
Compute the trend	Trend
Compute Brier scores	UltimateBrier

Package: s2dv 2.1.0

s2dv: A Set of Common Tools for Seasonal to Decadal Verification

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