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Matthias Grzeschik, Hans-Stefan Bauer, Volker Wulfmeyer, Dirk Engelbart, Ulla Wandinger, Ina Mattis, Dietrich Althausen, Ronny Engelmann, Matthias Tesche, and Andrea Riede

1. Introduction One outstanding goal of atmospheric research is the improvement of the skill of weather forecast models. Particularly critical is the prediction of precipitation and related extreme events. Only optimized models with well-specified performance can be applied to study the predictability of these meteorological situations. Corresponding research is the subject of several ongoing projects of the World Weather Research Program (WWRP) such as The Observing System Research and

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Ulrich Löhnert, S. Crewell, O. Krasnov, E. O’Connor, and H. Russchenberg

of the BL is essential in state-of-the-art numerical weather forecast models for correctly modeling convection, clouds, and regional precipitation events. An evaluation of the performance of such models in the BL is thus of extreme importance and cannot be carried out using twice-daily operational radiosonde data as demonstrated above. A combination of instruments as used by the IPT may prove very valuable when comparing long-term time series of thermodynamic profiles with model output from NWP

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Daniela Nowak, Dominique Ruffieux, Judith L. Agnew, and Laurent Vuilleumier

1. Introduction Precise forecasting of the formation, evolution, and erosion of fog and low stratus is a major challenge for meteorology, especially in complex topography. One of the goals of the COST 720 Temperature, Humidity, and Cloud (TUC) winter experiment undertaken in Switzerland in 2003/04 ( Ruffieux et al. 2006 ) was to provide a dataset for determining the base and top of low clouds using a simple combination of ground-based remote sensing instruments. Frequent and detailed

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P. C. S. Devara, P. E. Raj, K. K. Dani, G. Pandithurai, M. C. R. Kalapureddy, S. M. Sonbawne, Y. J. Rao, and S. K. Saha

. Proc. 22nd Int. Laser Radar Conf. (ILRC), Matera, Italy, European Space Agency, 631–634 . Houghton, J. T. , Ding Y. , Griggs D. J. , Noguer M. , van der Linden P. J. , Dai X. , Maskell K. , and Johnson C. A. , 2001 : Climate Change 2001: The Scientific Basis . Cambridge University Press, 881 pp . Kamineni, R. , Krishnamurti T. N. , Ferrare R. A. , Ismail S. , and Browell E. V. , 2003 : Impact of high-resolution water vapor cross-sectional data on hurricane forecasting

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