An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See <https://hal.archives-ouvertes.fr/hal-02554676>.
Package details |
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Author | Julie Carreau, Nesrine Farhani |
Maintainer | Nesrine Farhani <nesrine.farhani@ird.fr> |
License | GPL (>= 2.0) |
Version | 0.5 |
URL | www.r-project.org |
Package repository | View on CRAN |
Installation |
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