This proposal combines the skills of CGX AERO in procedure design, cartography and aeronautical software development with the expertise of SCALIAN EUROGICIEL in big data and data mining techniques to set up an innovative platform for a new philosophy of FMS trajectories validation. The consortium proposes to address first a larger scale of trajectories testing by gathering reference trajectories, directly issued from procedure designers and validated by the customers as well as providing scripts emulating pilot actions (virtual crew module), resulting in the generation of a large number of computed trajectories. CGX AERO's expertise in procedure design will allow finding out the right moments during the flight and the right places along the flight procedures where to insert the perfect and unexpected/imperfect actions from the crew, to obtain the most relevant panel of trajectories. To address the comparison between a FMS computed trajectory and a theoretical trajectory, a set of algorithms based on procedure Ground Validation (data integrity, business rules verification, ARINC 424 coding rules, 4D simulation, obstacle assessment) and on-the-fly computation of PANS-OPS Protection Areas will be defined. This will ensure finding the correct threshold beyond which an outlier comes from a procedure design issue instead of a FMS computation issue. SCALIAN EUROGICIEL's expertise in big data and data mining techniques will allow setting up a data warehouse, with data analytics tools in order to run and store the results of the millions of trajectory comparisons that will be performed.

The PROSNOW project ambitions to build a demonstrator of a meteorological and climate prediction system from one week to several months ahead applied to snow management, specifically tailored to the needs of the ski industry using a co-design approach. This novel climate service holds significant potential to increase the resilience of socio-economic mountain stakeholders and supports their real-time climate change adaptation potential. PROSNOW will apply state-of-the-art knowledge relevant to the predictability of atmospheric and snow conditions, then develop products well beyond state-of-the-art operational tools. Improved anticipation capabilities at all time scales, spanning from “weather forecast” (up to 5 days typically) to “climate prediction” at the seasonal scale (up to several months), will be achieved through a seamless integration of weather and seasonal prediction products, together with snowpack models, in-situ and remotely-sensed observations and cutting-edge statistical tools in support of the decision making process. The project proposes an Alpine-wide system (France, Switzerland, Germany, Austria and Italy). It will associate research institutions for weather forecasts, climate predictions at the seasonal scale and snowpack modeling, a group of providers proposing high tech solutions for snow monitoring and management, and a relevant ensemble of eight representative resorts in the Alps. The added value of such services for ski resorts will be investigated and documented, making it possible to initiate a commercial exploitation of the service at the end of the project.