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.

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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
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article

wxgenR: An R package for stochastic weather generation with seasonality

A. Verdin, Eylon Shamir, Subhrendu Gangopadhyay, Eve Halper et al.
2 citations
SoftwareX
Meteorological Phenomena and Simulations
2.60
article

wxgenR: An R package for stochastic weather generation with seasonality

A. Verdin, Eylon Shamir, Subhrendu Gangopadhyay, Eve Halper, Marketa McGuire, L. A. Bearup, David Woodson
article en
2 citations

Abstract

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.

SoftwareXVol. 31
United States Army Corps of Engineers (US), United States Bureau of Reclamation (US), Hydrologic Research Center (US)
Climate action
Openalex Percentile: Top 12%
Meteorological Phenomena and Simulations
2.60
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wxgenR: An R package for stochastic weather generation with seasonality — A. Verdin, Eylon Shamir, et al. · SoftwareX (2025) | TGRS Research Map | TGRS