HAZARDOUS METEOROLOGICAL PHENOMENA FORECASTINGUSING REMOTE SENSING DATAAND PRODUCTS OF NUMERICAL WEATHER PREDICTION MODELS

The paper presents research concerning application of mesoscale models and remote sensing data to meteorological support of aviation. The software module developed for investigating hazardous weather phenomena manages, processes and visualizes products of COAMPS mesoscale non-hydrostatic model of the atmosphere, MSG satellite images and radar data. It enables complex analyses of data sets of miscellaneous information structure and to verify COAMPS results using radar and satellite data. Transformation of all elements of the database to the Lambert Conformal projection of COAMPS facilitates simultaneous interpretation and supports decision making processes for safe execution of aviation tasks. Verification of the forecasts includes research of spatial and temporal correlations of structures generated by the model and structures identified in satellite and radar images. The module determines meteorological parameters fields for vertical profiles of the atmosphere. Interpolation procedures run at user selected pressure or height levels of the model enable to determine weather conditions along any route of aircraft. Basic parameters of the procedures determining e.g. flight safety include: cloud base and cover, visibility, turbulence, precipitation and icing. The research includes also investigating new generation mesoscale models, especially remote sensing data assimilation, and developing the module to adapt the WRF model for the area of Poland which is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometres. Appropriate validation of the mesoscale model performance is a separate task to be realized after an appropriate amount of computer simulations, synoptic, radar and satellite data have been collected