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WACS (version 1.1.0)

Multivariate Weather-State Approach Conditionally Skew-Normal Generator

Description

A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) ). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable 'Rain' and can accept as many other variables as desired.

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Version

Install

install.packages('WACS')

Monthly Downloads

122

Version

1.1.0

License

GPL (>= 2.0)

Maintainer

Ronan Trc3<a9>pos

Last Published

June 5th, 2020

Functions in WACS (1.1.0)

WACS

WACS: Multivariate Weather-state Approach Conditionally Skew-normal Generator
WACSplotdensity

For plotting fitted bivariate densities of residuals
WACSestim

Estimation of the parameters of a WACS model
WACScompare

Performs comparisons between two WACS data structures, or between two WACS simulation series
WACSsimul

Performs simulations based on estimated parameters of the WACS model
ClimateSeries

Synthetic climate series of a french town between 1995 and 2012.
WACSreadAgroclim

Function that reads a file of format Agroclim
WACSdata

Format data for WACS
WACSplot

Produces validation and/or WACS comparison plots
WACSvalid

Performs validations of WACS simulations