%0 journal article
%@ 0941-2948
%A Siedersleben, S.K.,Platis, A.,Lundquist, J.K.,Lampert, A.,Baerfuss, K.,Canadillas, B.,Djath, B.,Schulz-Stellenfleth, J.,Bange, J.,Neumann, T.,Emeis, S.

%D 2018
%J Meteorologische Zeitschrift
%N 5
%P 401-415 
%R doi:10.1127/metz/2018/0900
%T Evaluation of a Wind Farm Parametrization for Mesoscale Atmospheric Flow Models with Aircraft Measurements
%U https://doi.org/10.1127/metz/2018/0900
5 
%X Large offshore wind farms are usually clustered around transmission grids to minimize the expense of transmission and due to space military zones, pipelines and constrains due to other uses such as nature preserves. However, this close proximity can undermine power production in downwind wind farms due to wakes from upwind wind farms. Therefore, the wind energy industry has great interest in determining the spatial dimensions of offshore wind farm wakes to assess the economical potential of planned wind farms. In this work we use wake measurements conducted by a research aircraft to evaluate the performance of a wind farm parameterization (WFP) in a mesoscale model during stably-stratified atmospheric conditions, in which the wake is expected to be the strongest. The observations were conducted on the 10 September 2016 within the project WIPAFF (Wind PArk Far Field) at the North Sea. The observations allow evaluation of both the horizontal and the vertical dimensions of the wake. The model simulates the length and most of the time the spatial dimensions of the wake. Further, we show that the largest potential for improving the performance of the WFP is rooted in an improvement of the background flow. This is due to the fact that the mesoscale model has problems representing the atmospheric boundary layer in the transition between land to open sea.