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1. Introduction Continuous profiling of the thermodynamic state of the atmosphere is becoming more and more important in support of mesoscale models, which are increasingly employed for numerical weather prediction (NWP). Especially the development of the boundary layer (BL), for example, its diurnal cycle or its influence on the initiation of convection, is crucial for the correct prediction of regional weather scales, including severe events, such as extreme precipitation. In this context the
1. Introduction Continuous profiling of the thermodynamic state of the atmosphere is becoming more and more important in support of mesoscale models, which are increasingly employed for numerical weather prediction (NWP). Especially the development of the boundary layer (BL), for example, its diurnal cycle or its influence on the initiation of convection, is crucial for the correct prediction of regional weather scales, including severe events, such as extreme precipitation. In this context the
provision of a dataset for data assimilation experiments using high-resolution water vapor profiling systems in regional NWP modeling. This paper is related to objectives 1, 3, and 4. b. The network for data assimilation experiments It was intended to concentrate on approaching precipitation systems and to investigate their correct representation in numerical models. This required a large coverage of the observations. For the realization of a first OSE using high-resolution water vapor profiling
provision of a dataset for data assimilation experiments using high-resolution water vapor profiling systems in regional NWP modeling. This paper is related to objectives 1, 3, and 4. b. The network for data assimilation experiments It was intended to concentrate on approaching precipitation systems and to investigate their correct representation in numerical models. This required a large coverage of the observations. For the realization of a first OSE using high-resolution water vapor profiling
