EGU23-15082
https://doi.org/10.5194/egusphere-egu23-15082
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

VirES for Swarm & Virtual Research Environment: Disseminating Swarm data, models, and tools

Martin Pačes1, Daniel Santillan1, and Ashley Smith2
Martin Pačes et al.
  • 1EOX IT Services, GmbH, Wien, Austria (martin.paces@eox.at)
  • 2University of Edinburgh, UK (ashley.smith@ed.ac.uk)

The VirES service can be described as an ecosystem: the VirES server provides robust API-based access to both data and models derived from Swarm measurements; the VirES web interface provides visual point-and-click access [1]; the viresclient Python package provides the basis for a programmatic workflow and connection to the scientific Python landscape [2]; the Virtual Research Environment (VRE) provides a ready-to-code Jupyter environment to empower researchers to quickly start writing and running code using the latest Python packages [3].

In tandem with the evolution of the Swarm product portfolio, VirES evolves to provide access to and visualisation of new data products as they are published. Beyond this, Swarm activities are shifting away from static data products and toward on-demand processing and tools. We support development and dissemination of such tools in a scientist-led way through the VRE. These take the form of both computational notebooks and of Python packages.

With a growing number of data sources, both Earth-bound and orbital, it is critical to enable easier multi-dataset scientific workflows. At the same time, there is a multiplicity of research software projects, complex to navigate and make use of. We are tackling these issues through adoption of the Heliophysics API specification (HAPI [4, 5]), and coordination with the Python in Heliophysics Community.

[1] https://vires.services
[2] https://viresclient.readthedocs.io
[3] https://notebooks.vires.services
[4] https://hapi-server.org
[5] https://vires.services/hapi

How to cite: Pačes, M., Santillan, D., and Smith, A.: VirES for Swarm & Virtual Research Environment: Disseminating Swarm data, models, and tools, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15082, https://doi.org/10.5194/egusphere-egu23-15082, 2023.