FMP-Met leverages on the ER1 SESAR project TBO-Met.
Managing meteorological uncertainty for a more efficient air traffic system (Met-ATS) This is a national coordinated project between USE, UC3M, AEMET and another Spanish university funded by the Spanish Ministry of Science, Innovation, and Universities. The topic addressed in Met-ATS is the generation of optimal path planning algorithms considering time-variant meteorology provided by an EPS with several lead times. These algorithms will serve as a basis for those required in this project for trajectory prediction for long look-ahead times.
DIVMET is a storm avoidance tool owned by MetSol. Given a planned trajectory taken as a reference and a (deterministic) Nowcast as MET input, DIVMET obtains a route to the final destination that avoids the field of existing and forecasted storm cells. DIVMET is deterministic, i.e., it does not take into account uncertainty information. This tool was used in SESAR’s TBO-Met project .
Probabilistic Weather Avoidance Routes for Medium-Term Storm Avoidance (PSA-Met) This is a project funded by the SESAR Engage Knowledge Transfer Network (under the first Call for catalyst funding), linked to the thematic challenge Efficient provision and use of meteorological information in ATM. It has two partners: USE and MetSol. The goal of PSA-Met is to develop a probabilistic weather avoidance tool (DIVMET-P), based on DIVMET, capable of generating probabilistic storm avoidance routes. This tool will be used in this project for trajectory prediction for short look-ahead times.
The main objective of this challenge is to improve overall ATM system performance by providing better user-support tools based on improved meteorological products. The challenge is to bring the following perspectives closer: (a) for meteorological/atmospheric science, the development of products tailored to ATM stakeholders’ needs, which are unambiguous and easy to interpret; (b) for stakeholders, the identification of the most suitable information available and its integration into planning and decision-making processes.