One of the ISOBAR project’s focus points lies on the use of Machine Learning algorithms to predict airspace capacity reductions caused by weather. The developments on this field were presented at the meeting “Environmental and Meteorological SESAR exploratory research projects: key findings and solutions” that took place on the 6th of July in Villa Doria D’Angri, Naples.
The meeting turned out to be a fruitful encounter where we could learn and get inspired from other SESAR projects related to meteorology and environment.
