Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-24T17:20:29.508Z Has data issue: false hasContentIssue false

Statistical comparison of Regional Atmospheric Modelling System forecasts with observations

Published online by Cambridge University Press:  29 March 2004

Robert L. Buckley
Affiliation:
Savannah River Technology Center, Westinghouse Savannah River Company, Building 773A, A1008, Aiken, South Carolina 29808, USA Email: [email protected]
Allen H. Weber
Affiliation:
Savannah River Technology Center, Westinghouse Savannah River Company, Building 773A, A1008, Aiken, South Carolina 29808, USA Email: [email protected]
Jilene H. Weber
Affiliation:
Savannah River Technology Center, Westinghouse Savannah River Company, Building 773A, A1008, Aiken, South Carolina 29808, USA Email: [email protected]
Get access

Abstract

A statistical comparison of observations and forecasts using the Regional Atmospheric Modelling System (RAMS) for operations at the Savannah River Site (SRS) in South Carolina is discussed. Simulated and observed values of wind direction and wind speed, collected twice daily for a two-year period from April 1998 to March 2000, are compared in a variety of ways for five different locations in the southeastern United States. Simulated and observed turbulence intensities are also compared for a one-year period beginning in February 1999 for the SRS. Statistical measures used for comparison are the mean absolute error, mean relative error and standard deviation. Directional errors tend to increase with forecast time while speeds tend to be underestimated over the entire forecast range, especially those exceeding 8 m s−1. Seasonally, winds are predicted with greater accuracy during the winter and spring months, when speeds in the southeastern United States are higher and direction is less variable. Vertical turbulence intensity at SRS is slightly underestimated, while horizontal turbulence intensity is slightly overestimated. In general, the statistical measures show that the model produces results with reasonable skill for the wind speed, direction and turbulence.

Type
Research Article
Copyright
© 2004 Royal Meteorological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)