Open AccessAutomated classification of simulated wind field patterns from multiphysics ensemble forecasts
Author(s) -
Durán Pablo,
Basu Sukanta,
Meißner Cathérine,
Adaramola Muyiwa S.
Publication year - 2020
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.2462
Subject(s) - mesoscale meteorology , multiphysics , meteorology , global wind patterns , planetary boundary layer , wind speed , environmental science , field (mathematics) , computer science , weather research and forecasting model , engineering , mathematics , geography , structural engineering , finite element method , pure mathematics , turbulence
In this study, we have proposed an automated classification approach to identify meaningful patterns in wind field data. Utilizing an extensive simulated wind database, we have demonstrated that the proposed approach can identify low‐level jets, near‐uniform profiles, and other patterns in a reliable manner. We have studied the dependence of these wind profile patterns on locations (eg, offshore vs onshore), seasons, and diurnal cycles. Furthermore, we have found that the probability distributions of some of the patterns depend on the underlying planetary boundary layer schemes in a significant way. The future potential of the proposed approach in wind resource assessment and, more generally, in mesoscale model parameterization improvement is touched upon in this paper.