The work done in the project is summarized next per Work Package (WP), making reference to deliverables (Dx.y) and milestones (MS).
1) The following activities have been carried out in WP1:
• signature of the Consortium Agreement (MS1);
• organization of the Kick-Off Meeting (MS2);
• elaboration of the Project Management Plan (D1.1);
• appointment of the Advisory Board members;
• organization of the 4 Steering Board Meetings (MS4, MS5, MS8, MS9);
• elaboration of the 3 Annual Progress Reports (D1.1.010 D1.1.020 D1.1.030);
• elaboration of the Validation Plan and definition of the Validation Exercise;
• elaboration of the 1st Periodic Technical and Financial Progress Report;
• elaboration of the TRL Assessment Report (D1.3 MS10); the assessment is positive, and, therefore, we can claim that the goal of reaching TRL 1 at the end of the project has been achieved;
• elaboration of the Final Project Results Report (D1.2);
• preparation of the Intermediate Review and Close-Out Meetings (MS6, MS13).
2) In WP2 the Concept of Operations has been developed (D2.1). After the SJU review and the assessments of the Advisory Board members, an updated version has been produced. Deliverable D2.1 was approved on 21/12/20.
3) In WP3 the meteorological input has been defined (D3.1) and the methodology to produce a probabilistic nowcast has been developed. Deliverable D3.1 was approved on 16/12/20.
4) In WP4 a methodology to predict probabilistic aircraft trajectories using multi-scale convective weather information has been developed. The core of this work is to effectively propagate uncertainties from a given current state up to look-ahead times of 8 hours. Deliverable D4.1 was approved on 04/06/21.
5) In WP5 the methodologies to predict probabilistic sector demand and sector congestion, under convective weather in multi-sector scenarios, have been developed. The input trajectories come from WP4, and the capacity measure from WP6. Deliverable D5.1 was approved on 14/01/22.
6) In WP6 the methodologies to predict probabilistic sector capacity reduction caused by adverse weather, and sector complexity, under convective weather, in multi-sector scenarios, have been developed. Again, WP4 provides the input trajectories. Deliverable D6.1 was approved on 31/01/22.
7) In WP7 the assessment of the Project is presented. The assessment has 2 main parts: 1) Assessment of the probabilistic methodologies developed for traffic analysis, and 2) Validation of the operational concept developed in the project (validation based on FMPs’ feedback via questionnaires). The overall assessment is quite positive. Deliverable D7.1 was approved on 08/07/22.
8) In WP 8 the dissemination, communication, exploitation and data management plans have been elaborated (D8.1 D8.2 D8.3 and D8.4). The Data Managemnet Plan has beed updated twice with the data used in WP4 and WPs 5-7.
Different dissemination and communication activities have been carried out:
• construction of the FMP-Met website (MS3);
• Twitter and Research Gate profiles;
• participation in the ER/IR MET&ENV Workshop organized by the SJU (1/10/2020);
• presentation of posters and videos at SID’20 (MS7) and SID'21 (MS11);
• participation in the 3rd Engage TC3 Workshop organized by SESAR (09/09/21);
• participation in ICRAT 2022 conference (in June 2022), presenting a paper;
• preparation of a contribution to SESAR ER4 Projects Results Brochure (June 2022).
To coordinate and to find synergies with other projects, the following activities have been carried out:
• participation in ER/IR MET&ENV workshops, organized by the SJU, on 01/10/20 and 19/01/22;
• attendance to the 2nd ISOBAR Project Workshop, on-line, on 20/09/2021;
• participation in ER4 MET&ENV SESAR Projects Workshop, organized by CREATE project, on 06/07/22, attended by all FMP-Met project members (MS12). A leaflet describing FMP-Met contribution has been prepared (July 2022).
The following exploitation activity has been carried out: development of the Meteorological Interpolation Toolbox for Optimization and Simulation (METINTOS) library.
The main outcome of the project is the development of two probabilistic methodologies to forecast sector congestion (coming from the combination of probabilistic demand and capacity reduction) and traffic complexity. These methodologies have led to the definition of a tool concept that could easily incorporate the new features, in the form of a new tool layer added to the tools currently employed by FMPs. This concept has been positively assessed by FMP experts.
