wxgenR: An R package for stochastic weather generation with seasonality
A stochastic weather generator was developed with the novel feature of considering seasonality of precipitation and temperature, motivated largely within the context of climate change adaptation and planning. The weather generator, wxgenR , is released as an R language package on the Comprehensive R Archive Network. wxgenR was tested using weather station data from nine locations in the continental United States with varied hydroclimatic regimes. wxgenR development was initiated by a hydroclimate analysis using areal average precipitation and temperature from the Lower Santa Cruz River Basin in Arizona, where representing monsoon moisture and changes therein is important for water supply planning. wxgenR performs well in the cross-validation with both in-sample and out-of-sample data.
Authors
- A. Verdin (ORCID: https://orcid.org/0000-0003-1967-9626)
- Eylon Shamir (ORCID: https://orcid.org/0000-0001-8261-9373)
- Subhrendu Gangopadhyay (ORCID: https://orcid.org/0000-0003-3864-8251)
- Eve Halper (ORCID: https://orcid.org/0009-0006-2517-5263)
- Marketa McGuire (ORCID: https://orcid.org/0000-0001-8562-3394)
- L. A. Bearup (ORCID: https://orcid.org/0000-0003-2339-1983)
- David Woodson
Institutions
- United States Army Corps of Engineers (US)
- United States Bureau of Reclamation (US)
- Hydrologic Research Center (US)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1016/j.softx.2025.102209
- Citations
- 2
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 2.60