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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
Browse package contents
Package details |
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| Author | Denis Allard [aut, cre], Ronan Trépos [aut] |
| Maintainer | Ronan Trépos <ronan.trepos@inrae.fr> |
| License | GPL (>= 2.0) |
| Version | 1.1.0 |
| URL | https://miat.inrae.fr/site/Ronan_TREPOS |
| Package repository | View on CRAN |
| Installation |
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