In this work, several common extrapolation methods are evaluated using cup anemometer data from the Oklahoma Mesonet and the Oklahoma Wind Power Initiative's tall tower sites. Linear regression is used to fit a first-order polynomial (i.e., straight line) and a power law to observed wind speeds at 10 and 80 m. Monin-Obukhov similarity theory is used to produce wind speed profiles up to 80 m based on 10-m wind speed and stability measurements. Since similarity theory is only applicable in the surface layer, an extension of mixing-length theory is also explored as an alternative to similarity theory above the surface layer.
Results indicate that the extrapolation methods fit the wind speed data fairly well in neutral and unstable atmospheric regimes, but produce inaccurate results for stable regimes. The inaccuracy of the extrapolation methods for stable regimes is likely related to the highly sheared wind speed profiles and intermittent turbulence that are common in the stable boundary layer.