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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | WACS_1.1.0.tar.gz |
285.9 KiB |
1.1.0 |
rolling linux/noble R-4.5 | WACS_1.1.0.tar.gz |
285.7 KiB |
1.1.0 |
rolling source/ R- | WACS_1.1.0.tar.gz |
145.6 KiB |
1.1.0 |
latest linux/jammy R-4.5 | WACS_1.1.0.tar.gz |
285.9 KiB |
1.1.0 |
latest linux/noble R-4.5 | WACS_1.1.0.tar.gz |
285.7 KiB |
1.1.0 |
latest source/ R- | WACS_1.1.0.tar.gz |
145.6 KiB |
1.1.0 |
2026-04-26 source/ R- | WACS_1.1.0.tar.gz |
145.6 KiB |
1.1.0 |
2026-04-23 source/ R- | WACS_1.1.0.tar.gz |
145.6 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | WACS_1.1.0.zip |
288.3 KiB |
1.1.0 |
2025-04-20 source/ R- | WACS_1.1.0.tar.gz |
145.6 KiB |