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The Schaake shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields

Dates

Year
2004

Citation

Clark, M, Gangopadhyay, S, Hay, L, Rajagopalan, B, and Wilby, R, 2004, The Schaake shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields: United States Geological Survey, p. 243-262.

Summary

A number of statistical methods that are used to provide local-scale ensemble forecasts of precipitation and temperature do not contain realistic spatial covariability between neighboring stations or realistic temporal persistence for subsequent forecast lead times. To demonstrate this point, output from a global-scale numerical weather prediction model is used in a stepwise multiple linear regression approach to downscale precipitation and temperature to individual stations located in and around four study basins in the United States. Output from the forecast model is downscaled for lead times up to 14 days. Residuals in the regression equation are modeled stochastically to provide 100 ensemble forecasts. The precipitation and temperature [...]

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Communities

  • USGS National Research Program

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Added to ScienceBase on Fri Apr 19 13:10:51 MDT 2013 by processing file <b>Former Project Precipitation-Runoff Modeling of Watershed Systems.xml</b> in item <a href="https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004">https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004</a>

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value243-262
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