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s2dverification (version 2.4.0)

Set of Common Tools for Model Diagnostics

Description

Set of tools to assess the performance of a model 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).

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Version

Install

install.packages('s2dverification')

Monthly Downloads

100

Version

2.4.0

License

GPL-3

Maintainer

Nicolau Manubens

Last Published

July 28th, 2015

Functions in s2dverification (2.4.0)

Computes Root Mean Square Error Skill Measure

ConfigApplyMatchingEntries

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

Computes Anomalies In Cross-Validation Mode

Extends The Number Of Dimensions of A Matrix

ConfigEditDefinition

Add Modify Or Remove Variable Definitions In Configuration

Computes Per-pair/Kharin/Fuckar Climatologies

ConfigShowSimilarEntries

Find Similar Entries In Lists Of Variables And Tables Of Datasets

Functions To Add Or Remove Supported Variables

Computes The Regression Of A Matrix On Another Along A Dimension

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

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

Averages A Matrix Along A Dimension

Computes Forecast or Observed Anomalies

Generates An AR1 Time Series

ConfigMatchingVars

Find Entries In List Of Supported Variables That Match A Variable

Chunks Long Simulations For Comparison With Hindcasts

Compute Continuous Ranked Probability Score (CRPS) For Ensemble Forecasts

Draws Color Bar

Smoothes A Matrix Along A Dimension

Computes Trends Using Only Model Data For Which Observations Are Available

Computes Trends

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

Computes Anomaly Correlation Coefficient (Spatial Correlation)

s2dverification-package

Prediction Model Score

ConfigEditEntry

Add, Remove Or Edit Entries In The Configuration

Plot2VarsVsLTime

Plot Two Scores With Confidence Intervals In A Common Plot

Maps A Two-Dimensional Variable On A Polar Stereographic Projection

Plot Raw Or Smoothed Anomalies

Filter Frequency Peaks From An Array

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

Checks Whether A Year Is Leap Year

Creates A List Of Integer Ranges

Averages A Matrix Along Various Dimensions

Adds A Dimension To A Matrix

ConfigShowTable

Show Configuration Tables Lists And Definitions

Fits an AR1 Autocorrelation Function Using Dichotomy

Computes Effective Sample Size With Classical Method

Plots A Vertical Section

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

Computes Root Mean Square Skill Score

Computes The Ratio Between The RMSE Scores of 2 Experiments.

sampleTimeSeries

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

Slices A Matrix Along A Dimension

Fits an AR1 AutoCorrelation Function Using the Cardano Formula

Plots A Score Along The Forecast Time With Its Confidence Interval

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

Estimates Frequency Spectrum

Computes Correlation Skill Measure (Temporal Correlation Along Start Dates)

Plot Plumes/Timeseries Of Anomaly Correlation Coefficients

sampleDepthData

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

Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection

Computes Seasonal Means

Plots Climatologies

Loads Experimental And Observational Data

Load Data From File Into Environment

Functions To Create Open And Save Configuration File