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SpecsVerification (version 0.5-0)

Verification Routines for Ensemble Forecasts of Weather and Climate

Description

A collection of new forecast verification routines developed for the SPECS FP7 project. The emphasis is on comparative verification of ensemble forecasts.

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Version

Install

install.packages('SpecsVerification')

Monthly Downloads

476

Version

0.5-0

License

GPL (>= 2)

Maintainer

Stefan Siegert

Last Published

January 21st, 2017

Functions in SpecsVerification (0.5-0)

Calculate AUC difference `AUC(fcst,obs) - AUC(fcst_ref, obs)` of two forecasts for the same observations, and the sampling standard deviation of the AUC difference (Internal C++ implementation)

CRPS for ensemble forecasts (C++ implementation)

Calculate the ensemble-adjusted Brier Score

Calculate the Logarithmic (Ignorance) Score for a mixture of Normal distributions, for example generated by ensemble dressing

Calculate DressCrps Skill Score (deprecated, use function SkillScore instead)

Calculate DressCrps Difference (deprecated, use function ScoreDiff instead)

Calculate EnsBrier Skill Score (deprecated, use function SkillScore instead)

Calculate the Continuous Ranked Probability Score (CRPS) for a mixture of Normal distributions, for example generated by ensemble dressing

Calculate EnsBrier Difference (deprecated, use function ScoreDiff instead)

Calculate DressIgn Difference (deprecated, use function ScoreDiff instead)

Calculate the ensemble-adjusted Continuous Ranked Probability Score (CRPS)

Calculate EnsCrps Skill Score (deprecated, use function SkillScore instead)

Calculate the ensemble-adjusted Quadratic Score (QS) for categorical forecasts

Calculate EnsCrps Difference (deprecated, use function ScoreDiff instead)

Calculate EnsRps Skill Score (deprecated, use function SkillScore instead)

eurotempforecast

Seasonal ensemble forecast of European average summer temperature

Calculate FairRps Skill Score (deprecated, use function SkillScore instead)

Calculate FairRps Difference (deprecated, use function ScoreDiff instead)

GenerateToyData

Generate artificial data for ensemble verification using a signal-plus-noise model

Statistical tests for rank histograms

Calculate density and integrated density function of a dressed ensemble forecast at a matrix of values

Calculate FairCrps Difference (deprecated, use function ScoreDiff instead)

Calculate FairCrps Skill Score (deprecated, use function SkillScore instead)

Calculate average score difference and assess uncertainty

Calculate FairBrier Skill Score (deprecated, use function SkillScore instead)

Calculate a skill score and assess uncertainty

Calculate FairBrier Difference (deprecated, use function ScoreDiff instead)

FitAkdParameters

Fit the 5 parameters used for affine kernel dressing by minimum CRPS estimation.

Calculate the Continuous Ranked Probability Score (CRPS) for forecasts issued as Normal distributions

SpecsVerification

SpecsVerification - Forecast verification routines

Calculate the squared error between forecast and observation

Calculate the ensemble-adjusted Ranked Probability Score (RPS) for categorical forecasts

Calculate GaussCrps Difference (deprecated, use function ScoreDiff instead)

Calculate GaussCrps Skill Score (deprecated, use function SkillScore instead)

Calculate EnsRps Difference (deprecated, use function ScoreDiff instead)

Rank histogram for ensemble forecasts

Plot a series forecast distributions of dressed ensembles

ReliabilityDiagram

Reliability diagram for probability forecasts

Plotting function for rank histograms

Calculate correlation difference between a forecast and a reference forecast, and assess uncertainty

Brier Score decomposition

Calculate correlation between forecasts and observations, and assess uncertainty

Calculate difference between areas under the ROC curve (AUC) between a forecast and a reference forecast for the same observation, and estimate the variance of the AUC difference

Calculate the absolute error between forecast and observation

Auxiliary function for removing trends and mean from observation vector or ensemble matrix.

Calculate AUC and its sampling standard deviation (Internal C++ implementation)

Construct a climatological ensemble from a vector of observations.

Calculate area under the ROC curve (AUC) for a forecast and its verifying binary observation, and estimate the variance of the AUC