Set of Common Tools for Forecast Verification


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Documentation for package ‘s2dverification’ version 2.10.3

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s2dverification-package Set of Common Tools for Forecast Verification
.BrierScore Compute Brier Score And Its Decomposition And Brier Skill Score
.Corr Computes the correlation coefficient between an array of forecasts and their corresponding observations
.RatioRMS Computes the Ratio Between The RMSE of Two Experiments
.RatioSDRMS Computes the ratio between the ensemble spread and RMSE
.RMS Computes Root Mean Square Error
.RMSSS Computes Root Mean Square Skill Score
.Trend Computes the Trend of the Ensemble Mean
ACC Computes Anomaly Correlation Coefficient
Alpha Estimates AutoCorrelation At Lag 1 following Guemas et al, BAMS, 2013b
AnimateMap Animate Maps of Forecast/Observed Values or Scores Over Forecast Time
Ano Computes Forecast or Observed Anomalies
Ano_CrossValid Computes Anomalies In Cross-Validation Mode
ArrayToNetCDF Save multidimensional R arrays into NetCDF files
BrierScore Compute Brier Score And Its Decomposition And Brier Skill Score
CDORemap Interpolates arrays with longitude and latitude dimensions using CDO
Clim Computes Bias Corrected Climatologies
clim.colors Generate Climate Color Palettes
clim.palette Generate Climate Color Palettes
Cluster K-means Clustering
ColorBar Draws a Color Bar
Composite Computes composites
ConfigAddEntry Add, Remove Or Edit Entries In The Configuration
ConfigApplyMatchingEntries Apply Matching Entries To Dataset Name And Variable Name To Find Related Info
ConfigEditDefinition Add Modify Or Remove Variable Definitions In Configuration
ConfigEditEntry Add, Remove Or Edit Entries In The Configuration
ConfigFileCreate Functions To Create Open And Save Configuration File
ConfigFileOpen Functions To Create Open And Save Configuration File
ConfigFileSave Functions To Create Open And Save Configuration File
ConfigRemoveDefinition Add Modify Or Remove Variable Definitions In Configuration
ConfigRemoveEntry Add, Remove Or Edit Entries In The Configuration
ConfigShowDefinitions Show Configuration Tables And Definitions
ConfigShowSimilarEntries Find Similar Entries In Tables Of Datasets
ConfigShowTable Show Configuration Tables And Definitions
Consist_Trend Computes Trends Using Only Model Data For Which Observations Are Available
Corr Computes the correlation coefficient between an array of forecasts and their corresponding observations
Enlarge Extends The Number Of Dimensions of A Matrix
Eno Computes Effective Sample Size With Classical Method
EnoNew Computes Effective Sample Size Following Guemas et al, BAMS, 2013b
EOF Area-Weighted Empirical Orthogonal Function Analysis Using SVD
Filter Filter Frequency Peaks From An Array
FitAcfCoef Fits an AR1 AutoCorrelation Function Using the Cardano Formula
FitAutocor Fits an AR1 Autocorrelation Function Using Dichotomy
GenSeries Generates An AR1 Time Series
Histo2Hindcast Chunks Long Simulations For Comparison With Hindcasts
IniListDims Creates A List Of Integer Ranges
InsertDim Adds A Dimension To An Array
LeapYear Checks Whether A Year Is Leap Year
Load Loads Experimental And Observational Data
Mean1Dim Averages An Array Along A Dimension
MeanListDim Averages An Array Along Multiple Dimensions
NAO Computes the North Atlantic Oscillation (NAO) Index
Plot2VarsVsLTime Plot Two Scores With Confidence Intervals In A Common Plot
PlotACC Plot Plumes/Timeseries Of Anomaly Correlation Coefficients
PlotAno Plot Raw Or Smoothed Anomalies
PlotBoxWhisker Box-And-Whisker Plot of Time Series with Ensemble Distribution
PlotClim Plots Climatologies
PlotEquiMap Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection
PlotLayout Arrange and Fill Multi-Pannel Layouts With Optional Colour Bar
PlotMatrix Function to convert any numerical table to a grid of coloured squares.
PlotSection Plots A Vertical Section
PlotStereoMap Maps A Two-Dimensional Variable On A Polar Stereographic Projection
PlotVsLTime Plots A Score Along The Forecast Time With Its Confidence Interval
ProbBins Computes Probabilistic Information of a Forecast Relative to a Threshold or a Quantile
ProjectField Project Anomalies onto Modes of Variability
RatioRMS Computes the Ratio Between The RMSE of Two Experiments
RatioSDRMS Computes the ratio between the ensemble spread and RMSE
Regression Computes The Regression Of An Array On Another Along A Dimension
RMS Computes Root Mean Square Error
RMSSS Computes Root Mean Square Skill Score
s2dverification Set of Common Tools for Forecast Verification
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
Season Computes Seasonal Means
SelIndices Slices A Matrix Along A Dimension
Smoothing Smoothes An Array Along A Dimension
Spectrum Estimates Frequency Spectrum
Spread Computes InterQuartile Range, Maximum-Minimum, Standard Deviation and Median Absolute Deviation of the Ensemble Members
StatSeasAtlHurr Compute estimate of seasonal mean of Atlantic hurricane activity
Subset Subset a Data Array
SVD Single Value Decomposition (Maximum Covariance Analysis)
ToyModel 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.
Trend Computes the Trend of the Ensemble Mean
UltimateBrier Computes Brier Scores