Spatially resolved measurements of micro-scale winds are retrieved using scanning dual-Doppler lidar. Data for this study were obtained during a month-long field campaign conducted at a site in north-central Oklahoma in November of 2010. Key observational platforms included one heavily instrumented 60-m meteorological tower and two coherent Doppler lidars. The scanning strategies and data processing methods were designed to enable retrieval of the inflow and outflow through a bounded region. To assess their accuracy, the wind fields retrieved from the dual-Doppler lidar data are compared to independent wind measurements from sonic anemometers at two levels on the 60-m tower. The standard deviation in the wind direction difference was 3°, with negligible bias. The coefficient of linear correlation between lidar retrievals and the sonic anemometer data was better than 0.95 for all trials; however, the retrieved wind speeds show a slow bias of about 8%. It is believed that this is caused by a slow bias inherent in the raw radial velocity measurements. It is shown that the application of a simple scaling correction to the raw radial velocity data substantially reduces the bias in the retrieved winds.
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