WACS: Multivariate Weather-State Approach Conditionally Skew-Normal
A multivariate weather generator for daily climate variables based
on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>).
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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