CORDIS

The reports presents the final strategy for the dissemination, exploitation & communication activities, refined based on the feedback received from TechTIDE stakeholders and potential users and considering the latest developments in the field.

This report presents the methodology for the specification of (a) TID drivers (b) ionospheric background conditions (c) interhemispheric circulation.

The report presents results from (a) the analysis of the magnetospheric response during isolated substorms, CME and CIR/HSS-related events to identify LSTID drivers; (b) the analysis of data from ARISE data center (atmospheric dynamics and infrasound signatures of natural and anthropogenic sources) compared with results from the CDSS network to identify MSTID drivers.

The report presents results from case studies in order to prepare future systematic and comprehensive investigations of conjugate excitation of TIDs in both hemispheres, their subsequent propagation to the opposite hemisphere, and their interaction in the vicinity of the geomagnetic equator. These studies exploit temporally coincident observations, spanning all seasons, from similar ground-based facilities (Digisondes, HF Doppler systems, GNSS networks) located in Europe and Africa, i.e., in the same longitude sector.

The TechTIDE partners with good connections with the operations sector, will collect users’ requirements. The collected requirements will be categorised, prioritised, evaluated including their realism and feasibility and compiled into a report.

The deliverable provides a description of the improved algorithms specified in D2.1, providing the test results for their credibility. The accuracy of each method will be defined.

The report specifies the key performance indictors to measure and monitor the impact of TechTIDE in all project’s phases.

The precise identification of TIDs requires accurate determination of the background conditions that define the level of the ambient electron density. The report presents new algorithms for the calculation of the ambient electron density and the corresponding values of MUF, TEC and foF2 through systematic assessment of several state of the art methodologies.

The warning system requirements are driven by the users' initial requirements (D1.1 and by the community standards. In this report we will collect requirements based on the participants experience from the operation of ionospheric specification and Space Weather prediction systems (NOA/DIAS, NOA/NetTIDE, DLR/SWACI), from the development of Space Weather services for the ESA SSA Programme and the coordination of the Ionospheric Expert Service Center (DLR) and from the development of large e-infrastructure projects (NOA as a scientific manager of the ESPAS).

The report will provide the specifications of the TechTIDE warning system, driven from WP1 (users' requirements and system requirements), WP2 (design of algorithms development and upgrades), WP3 (Design of additional parameters required for the TID activity report). The system will be powered by open source software for OS, web sites, data interfaces, databases, registries and usage monitoring, while specific effort will be devoted to define the interoperability requirements between TechTIDE and the service and data providers.

The deliverable will report on the design of the adjustments and upgrades required in order to develop the TID identification algorithms. The added value products that will result from the detection methods will be specified and designed. Each detection method developer will design a validation methodology that will lead to the definition of the confidence metrics.

This deliverable is the relational test database established with long-time series performance data gathered from system operators, which can be partners and stakeholders of TechTIDE. The database will also provide access to the TID detection results and TID drivers for the specific time intervals covered by the performance data.

The data management plan summarizes the handling of research data during and after the project; what data will be collected, processed and generated; which methodologies and standards will be applied; whether data will be shared and made open access; how data will be curated and preserved.