I am trying to understand Parametric weather generator models for the purpose of downscaling GCM data. This is my first time working on this topic, and I am finding it hard to understand how exactly these weather generators are used. Do you use a package in a software like R or are there pre-existing weather generator softwares or programs that can be directly used to generate results? While there is literature regarding the theory of parametric weather generators, I cannot find any resources that help with understanding the implementation. Any resources or explanation regarding this will be helpful!
SWGs are nothing but a set of methods to generate a long time series of various weather parameters over a location using the Historical data.
There are a set of packages in R and the Documentation and Examples are straight forward. Check out the links below.
You can first try the "weathergen" package as it has a very detailed vignette, which makes it easy to understand.
1) https://walkerjeffd.github.io/weathergen/inst/doc/wgen-introduction.html
main page: https://walkerjeffd.github.io/weathergen/
You can also try RMAWGEN, although I'd suggest the first one as it is more understandable.
2) https://cran.r-project.org/web/packages/RMAWGEN/RMAWGEN.pdf
There is the chillR package, which offers the function temperature_generation(), a wrapper function for the RMAWGEN weather generator mentioned in previous answers. The functions documentation is a bit clearer and the function is also more convenient. The package also contains some useful methods to combine the weather generator with climate change projections.
https://cran.r-project.org/web/packages/chillR/chillR.pdf
You can also get some instructions in the following chapter of a masters course accompanying ebook (from the same author as the R package)
https://inresgb-lehre.iaas.uni-bonn.de/chillR_book/generating-temperature-scenarios.html
And recently I also stumbled upon another R package called wxgenR. But I don't have much experience with that weather generator.
https://cran.r-project.org/web/packages/wxgenR/wxgenR.pdf
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