Perdigão (2017)

The goal of Perdigão (which took place near Perdigão, Portugal) was to  improve our understanding of flow over complex terrain, including any effects of vegetation and heterogeneity at the surface, with a specific target of improving wind prediction in complex terrain at microscale. Of particular interest is the assessment of wind resources for the wind energy community.  Perdigão collected a reference data set at an unprecedented spatial resolution, characterizing both the mean and turbulent wind fields in a natural setting. Watch a cool video summarizing the project here! My role in Perdigão was to serve as OU team-lead, operate a miniature and modular version of the CLAMPS platform, and assist NCAR-EOL with routine and mission-targeted radiosonde releases.