A Stochastic Weather Generator with Seasonality R package wxgenR version 1.4.5 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>. Software 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 David Woodson <dwoodson@usbr.gov> Comprehensive R Archive Network (CRAN) Subhrendu Gangopadhyay [aut], Lindsay Bearup [aut], David Woodson [aut, cre], Marketa McGuire [aut], Andrew Verdin [aut], Eylon Shamir [aut], Eve Halper [aut] CC0 2026-05-04 application/tgz https://CRAN.R-project.org/package=wxgenR doi:10.32614/CRAN.package.wxgenR