Add, Remove Or Edit Entries In The Configuration
Animate Maps of Forecast/Observed Values or Scores Over Forecast Time
Averages An Array Along Multiple Dimensions
Fits an AR1 AutoCorrelation Function Using the Cardano Formula
Averages An Array Along A Dimension
Generates An AR1 Time Series
Filter Frequency Peaks From An Array
Functions To Create Open And Save Configuration File
Maps A Two-Dimensional Variable On A Polar Stereographic Projection
Fits an AR1 Autocorrelation Function Using Dichotomy
Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection
Computes Forecast or Observed Anomalies
Computes the ratio between the ensemble spread and RMSE
Computes the Ratio Between The RMSE of Two Experiments
Subset a Data Array
Plots A Score Along The Forecast Time With Its Confidence Interval
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.
Arrange and Fill Multi-Pannel Layouts With Optional Colour Bar
Computes Trends Using Only Model Data For Which Observations Are Available
Interpolates arrays with longitude and latitude dimensions using CDO
Compute Brier Score And Its Decomposition And Brier Skill Score
Smoothes An Array Along A Dimension
Estimates Frequency Spectrum
Sample of Experimental Data for Forecast Verification In Function Of
Latitudes And Depths
Sample Of Observational And Experimental Data For Forecast Verification In Function Of Longitudes And Latitudes
Computes the correlation coefficient between an array of forecasts and their corresponding observations
Estimates AutoCorrelation At Lag 1 following Guemas et al, BAMS, 2013b
Sample Of Observational And Experimental Data For Forecast Verification As Area Averages
Computes Anomaly Correlation Coefficient
Find Similar Entries In Tables Of Datasets
Show Configuration Tables And Definitions
Area-Weighted Empirical Orthogonal Function Analysis Using SVD
Chunks Long Simulations For Comparison With Hindcasts
ConfigApplyMatchingEntries
Apply Matching Entries To Dataset Name And Variable Name To Find Related Info
Extends The Number Of Dimensions of A Matrix
Function to convert any numerical table to a grid of coloured squares.
Computes Root Mean Square Error
Creates A List Of Integer Ranges
Adds A Dimension To An Array
Checks Whether A Year Is Leap Year
Plots A Vertical Section
Computes Effective Sample Size With Classical Method
Add Modify Or Remove Variable Definitions In Configuration
Plot Plumes/Timeseries Of Anomaly Correlation Coefficients
Computes Root Mean Square Skill Score
Plot Raw Or Smoothed Anomalies
Plots Climatologies
Box-And-Whisker Plot of Time Series with Ensemble Distribution
Computes Effective Sample Size Following Guemas et al, BAMS, 2013b
Draws a Color Bar
Computes The Regression Of An Array On Another Along A Dimension
Loads Experimental And Observational Data
Computes composites
Computes the North Atlantic Oscillation (NAO) Index
Plot Two Scores With Confidence Intervals In A Common Plot
Computes InterQuartile Range, Maximum-Minimum, Standard Deviation and
Median Absolute Deviation of the Ensemble Members
Load Data From File Into Environment
Compute estimate of seasonal mean of Atlantic hurricane activity
Computes Probabilistic Information of a Forecast Relative to a Threshold or a Quantile
Project Anomalies onto Modes of Variability
Single Value Decomposition (Maximum Covariance Analysis)
Computes the Trend of the Ensemble Mean
Computes Seasonal Means
Slices A Matrix Along A Dimension
Generate Climate Color Palettes
Computes Brier Scores
Set of Common Tools for Forecast Verification
K-means Clustering
Computes Anomalies In Cross-Validation Mode
Computes Bias Corrected Climatologies
Save multidimensional R arrays into NetCDF files