A cloud framework for state-of-the-art Space Weather data.
Cloud infrastructure to guarantee the availability and distribution of Space Weather data.
Space Weather concerns the phenomena that arise from the changing physical conditions of the Sun and its effects at Earth. It may seem an abstract topic, but events such as Geomagnetic Storms have actual practical and economic consequences at Earth, especially as our economies are increasingly dependent on technology and satellite communications and services. The possible consequences and damages due to Space Weather can be mitigated with appropriate protocols that rely on accurate forecasts.
The underlying DS-DRACO pilot infrastructure is currently storing and providing access to high-resolution data from and for early adopters. The database currently includes data from the MuTT (Muon ToF Tracker) detector. The TRISTAN detector of the ORCA Antarctic Cosmic Ray Observatory provided by the University of Santiago de Compostela is also confirmed to use this platform for its data distribution.
The research-facing web portal is now online, as a hub of interoperable data for Space Weather modelers and forecasters. Future Space Weather products derived from raw data will be distributed through this platform.
How they used EOSC-hub services
Hidronav used the Cloud Compute service, with dedicated resources provided by CESGA, for the back-end of their data management platform. Cloud Compute ensures the scalability they need for a growing global detector network and the high-availability mechanisms such as system redundancies (electrical power, air conditioning) and IT infrastructure redundancies (server redundancy, processors and storage in high-availability cabins, redundant internet service, etc.).
How EOSC-hub helped
Joining forces with EOSC-hub means that DS-DRACO can access the Cloud Computing resources needed to meet increasing processing, storing and high-availability requirements. This ensures that the service can safely be used in applications such as Space Weather extreme event warning and forecasting models.
More information on DS-DRACO: watch the video