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.
- Version1.1.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release06/05/2020
Team
Ronan Trépos
Denis Allard
Show author detailsRolesAuthor, Maintainer
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- Imports4 packages