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s2dv (version 0.1.1)

A Set of Common Tools for Seasonal to Decadal Verification

Description

The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility.

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Version

Install

install.packages('s2dv')

Monthly Downloads

74

Version

0.1.1

License

Apache License 2.0

Maintainer

An-Chi Ho

Last Published

November 16th, 2020

Functions in s2dv (0.1.1)

ConfigEditDefinition

Add Modify Or Remove Variable Definitions In Configuration

ConfigApplyMatchingEntries

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

Functions To Create Open And Save Configuration File

Compute the Atlantic Multidecadal Variability (AMV) index

Compute forecast or observation anomalies

ConfigEditEntry

Add, Remove Or Edit Entries In The Configuration

Draws a Color Bar

Compute Bias Corrected Climatologies

Animate Maps of Forecast/Observed Values or Scores Over Forecast Time

Compute composites

Compute the correlation coefficient between an array of forecast and their corresponding observation

Compute effective sample size with classical method

ConfigShowTable

Show Configuration Tables And Definitions

ConfigShowSimilarEntries

Find Similar Entries In Tables Of Datasets

Compute the Global Mean Surface Temperature (GMST) anomalies

Plots Climatologies

Compute the Global Surface Air Temperature (GSAT) anomalies

Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection

Checks Whether A Year Is Leap Year

Add a named dimension to an array

Smooth an array along one dimension

Plots A Vertical Section

Compute seasonal mean

Loads Experimental And Observational Data

Maps A Two-Dimensional Variable On A Polar Stereographic Projection

Reorder the dimension of an array

Compute the South Pacific Ocean Dipole (SPOD) index

Average an array along multiple dimensions

Compute persistence

Compute root mean square error

Arrange and Fill Multi-Pannel Layouts With Optional Colour Bar

Generate Climate Color Palettes

Compute the trend

Compute root mean square error skill score

Plot Anomaly time series

Compute the Tripole Index (TPI) for the Interdecadal Pacific Oscillation (IPO)

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.

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

sampleDepthData

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

A Set of Common Tools for Seasonal to Decadal Verification

Random walk test for skill differences

Function to convert any numerical table to a grid of coloured squares.

Compute the regression of an array on another along one dimension.

sampleTimeSeries

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