WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator

Multivariate weather generator for daily climate variables based on weather-states using 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. Data must include the variable 'Rain' and can accept as many other variables as desired.

AuthorDenis Allard [aut, cre], Ronan Trepos [aut]
Date of publication2016-02-25 18:03:23
MaintainerDenis Allard <allard@avignon.inra.fr>
LicenseGPL (>= 2.0)

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