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Long-Term Mean Wind Profiles Based on Similarity Theory
Authors:Mark Kelly  Sven-Erik Gryning
Institution:1.Ris? National Laboratory for Sustainable Energy,Danish Technical University,Roskilde,Denmark
Abstract:We provide general forms for long-term mean wind profiles from similarity-based wind profiles, beginning with a probabilistic adaptation of Monin–Obukhov similarity theory. We develop an analytical formulation for the stability distributions prevailing in the atmospheric surface layer, which in turn facilitates the derivation of a long-term mean wind profile based on Monin–Obukhov similarity theory. The modelled stability distributions exhibit good agreement with measurements from sites having different local conditions. The long-term wind profile formulation is further extended to include the influence of the depth of the atmospheric boundary layer (h), which becomes relevant for heights above h/3, and the resultant long-term ‘tall’ profile form also matches observations.
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