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Abstract
In November/December 2008, the Richard Aßmann Observatory Lindenberg of the German Meteorological Service (DWD) realized the international Lindenberg upper-air methods intercomparison campaign (LUAMI) as part of the WMO-CIMO strategy related to remote-sensing technologies and techniques. One of the objectives of this campaign has been to prepare and enhance the experimental data base as a reference to numerical model output as well as for assimilation experiments. In this respect, data of the water-vapor Raman lidar system RAMSES of the German Meteorological Service DWD, at Lindenberg Observatory, have now been used for comparisons with simulated water-vapour profiles, both from COSMO-DE/EU and ECMWF model forecasts. This allows to investigate the potential of high-quality, high-time resolution water-vapour data to numerical modeling. Furthermore, an additional comparison has been carried out with high-precision radiosondes and microwave profiler data.
The contribution will give details on the modeling setup at ECMWF and DWD and briefly summarizes all observations, especially those of the RAMSES lidar, and its data with respect to quality. Statistical results will then be given, showing the capability of up-to-date numerical modeling by comparison to independent reference data from lidar and other data sets. Moreover, the advantage of temporally high-resolved water-vapour data instead of
radiosonde data for a process-oriented observation of atmospheric processes will be demonstrated.