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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>.
| Version: | 0.5 |
| Depends: | R (≥ 3.5.0), chron, glmnet, MASS |
| Published: | 2020-06-04 |
| DOI: | 10.32614/CRAN.package.MetGen |
| Author: | Julie Carreau, Nesrine Farhani |
| Maintainer: | Nesrine Farhani <nesrine.farhani at ird.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| URL: | www.r-project.org |
| NeedsCompilation: | no |
| CRAN checks: | MetGen results |
| Reference manual: | MetGen.pdf |
| Package source: | MetGen_0.5.tar.gz |
| Windows binaries: | r-devel: MetGen_0.5.zip, r-release: MetGen_0.5.zip, r-oldrel: MetGen_0.5.zip |
| macOS binaries: | r-release (arm64): MetGen_0.5.tgz, r-oldrel (arm64): MetGen_0.5.tgz, r-release (x86_64): MetGen_0.5.tgz, r-oldrel (x86_64): MetGen_0.5.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.