The current project is aimed to bring together the expertise from three research and application domains: the domain of intelligent systems and methods, the field of software development and engineering and the operative and research in the field of meteorology. According to the World Meteorological Organisation, many natural disasters that cause damage and loss of life are due to weather, and especially severe weather. Most of the meteorological decision-making processes rely to a great extent, at least at the national level, on the experience of operative meteorologists, but due to the chaotic character of the atmosphere, effectively and accurately analyzing a large volume of meteorological data is a difficult task for meteorologists. WinDMiL project aims to contribute to improving meteorological decision support at the national level in terms of faster decision times and higher precision, providing a working prototype of a software solution for remote sensing data mining and assisting decision-making processes in meteorology. The direct beneficiary of WinDMiL is the Romanian National Meteorological Administration. WinDMiL will integrate data mining methods for fast and precise remote sensing data analysis, machine learning methods for weather forecast and a component for visualizing the results of the mining, easily readable for meteorologists and aimed to facilitate meteorological decision-making.Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
