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

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.

Getting started

Package details

AuthorDenis Allard [aut] (ORCID: <https://orcid.org/0000-0001-7944-1906>), Ronan Trépos [aut, cre] (ORCID: <https://orcid.org/0000-0002-3338-9337>)
MaintainerRonan Trépos <ronan.trepos@inrae.fr>
LicenseGPL (>= 2.0)
Version1.2.0
URL https://forge.inrae.fr/rtrepos/weathergen
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("WACS")

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WACS documentation built on May 29, 2026, 9:07 a.m.