2024-11-13 –, Meeting Room 101
Advancing Space Weather Science and predictions requires the understanding of the linkage of the different physical processes that occur simultaneously or sequentially in many application domains (Sun, Interplanetary space, Earth’s environment, other planets, hazards). In order to meet the needs of the Space Weather community, the ASI SPace weather InfraStructure (ASPIS) prototype has been designed and set up by a partnership at the national level in Italy, with efforts from INAF, ASI, INGV, INFN, and seven Universities (Aquila, Calabria, Catania, Genova, Perugia, Rome Tor Vergata, Trento).
This infrastructure includes a database of many heterogeneous resources/products (calibrated data, derived and L3 data, models) pertaining to different domains, a user interface and a Python package that can be used to explore Space Weather phenomena and “chain” them into events that span from the Sun through the interplanetary space to the Earth’s atmosphere up to the ground (and other bodies in the solar system).
Connecting and exploring different kinds of data and model outputs related to different phenomena occurring in the Heliosphere and driven by solar activity is not trivial due to the different formats, scopes and resource collectors available. In this sense, the ASPIS prototype has homogenized data and metadata and provides a new way to explore and interact with Space Weather data.
The goal of this focus demo is to show the audience the various contents of ASPIS, guiding the attendees in exploring the resources and tools provided by the infrastructure.
The audience will be shown how to find, access and explore data and model resources in the Space Weather domains using a new infrastructure designed on purpose and the related tools.
Going from discovery through visualization and then access to the data, investigation of the Space Weather phenomena and events will be showcased using a graphical interface and Python scripting/coding through the dedicated ASPISpy package and general, interoperable tools.