wxgenR: A Stochastic Weather Generator with Seasonality (original) (raw)
A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc. Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation. Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41G1267G>.
| Version: | 1.4.4 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | lubridate, msm, sm, dplyr, plyr, foreach, parallel, doParallel, stats, utils, magrittr, doRNG, mc2d, qmap, tidyr |
| Suggests: | knitr, rmarkdown, reshape2, ggpubr, moments, seas, padr, hydroGOF, SpecsVerification, ggridges, tigris, terra, stringr, mapview, xts, sf, lfstat, FedData, ggplot2 |
| Published: | 2025-04-14 |
| DOI: | 10.32614/CRAN.package.wxgenR |
| Author: | Subhrendu Gangopadhyay [aut], Lindsay Bearup [aut], David Woodson [aut, cre], Marketa McGuire [aut], Andrew Verdin [aut], Eylon Shamir [aut], Eve Halper [aut] |
| Maintainer: | David Woodson |
| License: | CC0 |
| Copyright: | This software is in the public domain because it contains materials that originally came from the United States Bureau of Reclamation, an agency of the United States Department of Interior. |
| NeedsCompilation: | no |
| CRAN checks: | wxgenR results |
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