This study examines the extraction of wind information from assimilation of ozone observations in a simplified model of the atmosphere. Understanding this process is important for the stratosphere (10–50 km altitude), where wind observations are sparse. A key aspect is using multiple forecasts (ensembles) to determine the error correlations between ozone and wind. Experiments using different ensemble sizes show that ozone benefits winds more when ensemble information is blended into the system.