POTENTIAL FOR METEOROLOGICAL BIAS IN LIDAR OZONE DATA SETS RESULTING FROM THE RESTRICTED FREQUENCY OF MEASUREMENT DUE TO CLOUD COVER

Lidar-based ozone data sets may be meteorologically biased since the m easurements are performed in the absence of precipitation and fog and the vertical profiles are truncated at the cloud base. This problem wa s studied for the routine ozone lidar facility at Bilthoven, Netherlan ds (52 degrees 07'N, 5 degrees 12'E). We used the long-term data recor d of balloon soundings at Uccle, Belgium (50 degrees 48'N, 4 degrees 2 1'E) between 1969 and 1992 to examine the average ozone concentrations as a function of altitude and season at different amounts of cloud co ver. Since Uccle and Bilthoven are only 160 km apart and to a large ex tent have the same climatology, the Uccle data are assumed to be repre sentative of the atmospheric conditions at Bilthoven. The data set of ozone profiles was arranged into several subsets according to increasi ng amounts of cloud cover. When compared to the total set, the subset for clear sky conditions showed significantly lower ozone partial pres sures (absolute differences down to -2.37 mPa and percentage differenc es down to -43.6%) around the tropopause in spring and early summer an d higher values (up to +1.10 mPa and +39.2%) in the lower troposphere in summer. These phenomena are explained by differences in the average origin of air masses and photochemical ozone production. The results have led to the definition of the monitoring strategy for the troposph eric ozone lidar facility at Bilthoven such that a meteorological bias in the set of ozone profiles is avoided.