Satellite observations provide crucial information about atmospheric constituents in a global distribution that helps to better predict the weather over sparsely observed regions like the Arctic. However, the use of satellite data is usually conservative and imperfect. In this study, a better spatial representation of satellite observations is discussed and explored by a so-called footprint function or operator, highlighting its added value through a case study and diagnostics.

A meso-scale ensemble system Aire Limitée Adaptation dynamique Développement InterNational - Limited Area Ensemble Forecasting (ALADIN-LAEF) based on the limited area model ALADIN has been developed in the framework of Regional Cooperation for Limited Area modelling in Central Europe (RC LACE) consortium, focusing on short range probabilistic forecasts and profiting from advanced multi-scale ALARO physics. Its main purpose is to provide probabilistic forecast on daily basis for the national weat

The delay of satellite signals from the Global Navigation Satellite System is valuable for numerical weather predictions, giving useful information about atmospheric constituents. These zenith total delay observations can help to better estimate the initial state of atmospheric analyses and to improve numerical weather forecasts. This study introduces the importance of GNSS zenith total delays, the detailed observation pre-processing method and weather forecast trials.

In this paper an overview of the IOPs that affected the Adriatic area during SOP1 HyMeX campaign is presented. Results in this paper highlight the need for an intensive observation period in the future over the Adriatic region. The aim is to better understand the relevant processes and validate the simulated mechanisms as well as to improve numerical forecasts via data assimilation and improvements of model representation of moist processes and sea–land–atmosphere interactions.