Pregled bibliografske jedinice broj: 1009059
Challenges in Space Weather and GNSS Data Aggregation and Consolidation for Research
Challenges in Space Weather and GNSS Data Aggregation and Consolidation for Research // International Space Weather Initiative Workshop 2019
Trst, Italija, 2019. (pozvano predavanje, međunarodna recenzija, pp prezentacija, znanstveni)
CROSBI ID: 1009059 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Challenges in Space Weather and GNSS Data Aggregation and Consolidation for Research
Autori
Filjar, Renato
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni
Skup
International Space Weather Initiative Workshop 2019
Mjesto i datum
Trst, Italija, 20.05.2019. - 24.05.2019
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
GNSS ; space weather ; ionosphere ; data ; consolidation ; aggregation
Sažetak
Space weather, geomagnetic and ionospheric effects have been recognised as the most prominent class of GNSS operations and performance disruptions and degradations. A growing number of technology and socio-economic GNSS navigation and non-navigation applications renders satellite navigation a cornerstone technology of modern society and civilisation. Resilient GNSS development requires a detailed understanding of space weather-GNSS positioning performance coupling, established on the experimental evidence. Here the challenges of aggregation and consolidation of openly available space weather and GNSS data sets are addressed, as the essential preparatory phase of every space weather-GNSS positioning performance coupling research. The manuscript and presentation outline the long-term experience in space weather and GNSS data aggregation and consolidation for modelling and forecasting research, including those on access, structures, sampling strategies, and a plethora of data formats utilised. Common practices in establishing aggregated and consolidated database to be utilised for models and forecasts development are presented, with examples in the open source R framework for statistical computing. Manuscript and presentation conclude with a list of recommendation for clarifications, systematic approach, and optimisation of space weather and GNSS data management practices, that will allow for more efficient and accurate utilisation of the already available invaluable data for the space weather- resilient GNSS development.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo, Zrakoplovstvo, raketna i svemirska tehnika
