wxgenR-package: wxgenR: A Stochastic Weather Generator with Seasonality
In wxgenR: A Stochastic Weather Generator with Seasonality
wxgenR-package R Documentation
wxgenR: A Stochastic Weather Generator with Seasonality
Description
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.
Author(s)
Maintainer: David Woodson dwoodson@usbr.gov
Authors:
Subhrendu Gangopadhyay
Lindsay Bearup
Marketa McGuire
Andrew Verdin
Eylon Shamir
Eve Halper
wxgenR documentation built on April 15, 2025, 1:10 a.m.
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| wxgenR-package | R Documentation |
wxgenR: A Stochastic Weather Generator with Seasonality
Description
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.
Author(s)
Maintainer: David Woodson dwoodson@usbr.gov
Authors:
Subhrendu Gangopadhyay
Lindsay Bearup
Marketa McGuire
Andrew Verdin
Eylon Shamir
Eve Halper
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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