Multivariate Weather-State Approach Conditionally Skew-Normal Generator
WACS: Multivariate Weather-state Approach Conditionally Skew-normal Ge...
Performs comparisons between two WACS data structures, or between two ...
Format data for WACS
Estimation of the parameters of a WACS model
Produces validation and/or WACS comparison plots
For plotting fitted bivariate densities of residuals
Function that reads a file of format Agroclim
Performs simulations based on estimated parameters of the WACS model
Performs validations of WACS simulations
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.