Computes Effective Sample Size With Classical Method
Adds A Dimension To A Matrix
Computes Correlation Skill Measure (Temporal Correlation Along Start Dates)
Averages A Matrix Along Various Dimensions
Estimates AutoCorrelation At Lag 1 following Guemas et al, BAMS, 2013b
Sample of Observational and Experimental Data for Forecast Verification
As Area Averages
Prediction Model Score
Sample of Experimental Data for Forecast Verification In Function Of
Latitudes And Depths
Computes Effective Sample Size Following Guemas et al, BAMS, 2013b
Chunks Long Simulations For Comparison With Hindcasts
Estimates Frequency Spectrum
Plot Plumes/Timeseries Of Anomaly Correlation Coefficients
Fits an AR1 AutoCorrelation Function Using the Cardano Formula
Computes The Ratio Between the Ensemble Spread and the RMSE of the Ensemble Mean
Extends The Number Of Dimensions of A Matrix
Computes Anomalies in Cross-Validation Mode
Averages A Matrix Along A Dimension
Creates A List Of Integer Ranges
Plots A Vertical Section
Filter Frequency Peaks From An Array
Slices A Matrix Along A Dimension
Computes Root Mean Square Error Skill Measure
Computes The Ratio Between The RMSE Scores of 2 Experiments.
Plot Two Scores With Confidence Intervals In A Common Plot
Computes Per-pair/Kharin/FALSEuckar Climatologies
Computes Seasonal Means
Smoothes A Matrix Along A Dimension
Computes Forecast or Observed Anomalies
Checks Whether A Year Is Leap Year
Draws Color Bar
Computes Anomaly Correlation Coefficient (Spatial Correlation)
Plots A Score Along The Forecast Time With Its Confidence Interval
Sample of Observational and Experimental Data for Forecast Verification
In Function Of Longitudes And Latitudes
Computes The Regression Of A Matrix On Another Along A Dimension
Fits an AR1 Autocorrelation Function Using Dichotomy
Generates An AR1 Time Series
Plot Raw Or Smoothed Anomalies
Computes Trends Using Only Model Data For Which Observations Are Available
Computes Trends
Loads Experimental And Observational Data
Computes Root Mean Square Skill Score
Plots Climatologies
Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection
Computes InterQuartile Range, Maximum-Minimum, Standard Deviation and Median
Absolute Deviation of the Ensemble Members