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s2dverification (version 2.5.0)

Set of Common Tools for Forecast Verification

Description

Set of tools to verify forecasts through the computation of typical prediction scores against one or more observational datasets or reanalyses (a reanalysis being a physical extrapolation of observations that relies on the equations from a model, not a pure observational dataset). Intended for seasonal to decadal climate forecasts although can be useful to verify other kinds of forecasts. The package can be helpful in climate sciences for other purposes than forecasting.

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Version

Install

install.packages('s2dverification')

Monthly Downloads

100

Version

2.5.0

License

GPL-3

Maintainer

Nicolau Manubens

Last Published

February 17th, 2016

Functions in s2dverification (2.5.0)

ConfigShowTable

Show Configuration Tables And Definitions
Consist_Trend

Computes Trends Using Only Model Data For Which Observations Are Available
RMSSS

Computes Root Mean Square Skill Score
clim.colors

Generate Climate Color Bar
Histo2Hindcast

Chunks Long Simulations For Comparison With Hindcasts
Alpha

Estimates AutoCorrelation At Lag 1 following Guemas et al, BAMS, 2013b
ConfigApplyMatchingEntries

Apply Matching Entries To Dataset Name And Variable Name To Find Related Info
Clim

Computes Per-pair/Kharin/Fuckar Climatologies
PlotAno

Plot Raw Or Smoothed Anomalies
RatioRMS

Computes The Ratio Between The RMSE Scores of 2 Experiments.
PlotStereoMap

Maps A Two-Dimensional Variable On A Polar Stereographic Projection
ProbBins

Computes probabilistic information of a forecast relative to a threshold or a quantile.
CRPS

Compute Continuous Ranked Probability Score (CRPS) For Ensemble Forecasts
Eno

Computes Effective Sample Size With Classical Method
ColorBar

Draws Color Bar
Trend

Computes Trends
EnoNew

Computes Effective Sample Size Following Guemas et al, BAMS, 2013b
Mean1Dim

Averages A Matrix Along A Dimension
sampleMap

Sample Of Observational And Experimental Data For Forecast Verification In Function Of Longitudes And Latitudes
sampleDepthData

Sample of Experimental Data for Forecast Verification In Function Of Latitudes And Depths
RMS

Computes Root Mean Square Error Skill Measure
IniListDims

Creates A List Of Integer Ranges
GenSeries

Generates An AR1 Time Series
PlotVsLTime

Plots A Score Along The Forecast Time With Its Confidence Interval
ConfigEditEntry

Add, Remove Or Edit Entries In The Configuration
s2dverification

Set of Common Tools for Forecast Verification
PlotACC

Plot Plumes/Timeseries Of Anomaly Correlation Coefficients
FitAutocor

Fits an AR1 Autocorrelation Function Using Dichotomy
MeanListDim

Averages A Matrix Along Various Dimensions
ACC

Computes Anomaly Correlation Coefficient (Spatial Correlation)
Filter

Filter Frequency Peaks From An Array
InsertDim

Adds A Dimension To A Matrix
Corr

Computes Correlation Skill Measure (Temporal Correlation Along Start Dates)
Enlarge

Extends The Number Of Dimensions of A Matrix
LeapYear

Checks Whether A Year Is Leap Year
FitAcfCoef

Fits an AR1 AutoCorrelation Function Using the Cardano Formula
Ano

Computes Forecast or Observed Anomalies
Season

Computes Seasonal Means
ConfigEditDefinition

Add Modify Or Remove Variable Definitions In Configuration
Regression

Computes The Regression Of A Matrix On Another Along A Dimension
Plot2VarsVsLTime

Plot Two Scores With Confidence Intervals In A Common Plot
PlotClim

Plots Climatologies
sampleTimeSeries

Sample Of Observational And Experimental Data For Forecast Verification As Area Averages
Ano_CrossValid

Computes Anomalies In Cross-Validation Mode
ConfigShowSimilarEntries

Find Similar Entries In Tables Of Datasets
PlotEquiMap

Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection
PlotSection

Plots A Vertical Section
Spread

Computes InterQuartile Range, Maximum-Minimum, Standard Deviation and Median Absolute Deviation of the Ensemble Members
SelIndices

Slices A Matrix Along A Dimension
Spectrum

Estimates Frequency Spectrum
Smoothing

Smoothes A Matrix Along A Dimension
RatioSDRMS

Computes The Ratio Between the Ensemble Spread and the RMSE of the Ensemble Mean
ConfigFileOpen

Functions To Create Open And Save Configuration File
.LoadDataFile

Load Data From File Into Environment
Load

Loads Experimental And Observational Data