Technical Reports
| s/n | Title | Authors | Description | Date |
|---|---|---|---|---|
| 1 | MSTID forecasting methodology and data inventory | S. Mani (IAP-L), J. Mielich (IAP-L), T. Verhulst (RMI), D. Burešová (IAP-P), V. Barta (FI), A. Belehaki (NOA), D. Altadill (OE), A. Seggarra (OE), D. Kouba (IAP-P), K. Berényi (FI) |
T-FORS project aims at providing new models able to interpret a broad range of observations of the solar corona, the interplanetary medium, the magnetosphere, the ionosphere and the atmosphere, and to issue forecasts and warnings for TIDs several hours ahead. T-FORS expect to develop prototype services based on specifications from the users' community with a comprehensive architectural concept allowing for possible future adjustments in order to develop a real-time operational service. This document is a report for the definition of the MSTID forecasting models. |
May 2023 |
| 2 |
Compilation of Stakeholders’ Requirements | I. Galkin (BGD), A. Belehaki (NOA), P. Brouard (ONERA), J.-P. Molinie (ONERA), J. Toelle (GFP), S. Unger (GFP), L. Spogli (INGV) |
This document is the initial review of stakeholders’ mandatory and desirable requirements gathered among those affected by TID phenomenon. Some of the contributors represent T-FORS consortium members: GFP for high-frequency (HF) communications, INGV for N-RTK, and ONERA for the OTH radar. The requirements are named, described, and assigned an identification number and priority. |
June 2023 |
| 3 |
Initial T-FORS standars, quality control and best practices |
I. Galkin (BGD), A. Belehaki (NOA), C. Cesaroni (INGV) |
This document is the initial review of catalogues of data and data-products required for the T-FORS development, focusing on their compliance to the modern data management standards. Best practices for quality control of data-products that result from TID detection methodologies are compiled and specific techniques to assess their quality (i.e., timely availability and scientific reliability of the results) are proposed, including a monitoring system for the quality of the raw observational data. The areas for potential improvements in the TID methodologies are also identified. |
November 2023 |