Data science for Space Weather services in Argentina

Space Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, e...

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Detalles Bibliográficos
Autores principales: Namour, Jorge H., Torres Peralta, Ticiano, Molina, María G., Gómez, Alejandro N., Paz, Esteban, Delorme, Guadalupe, Dall’ara, Darío, Amaya, Guillermo, Cortés, Benjamín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140164
http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-17.pdf
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