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