C-SCALE has developed an easier mechanism in just one-step, to discover relevant scientific data in satellite data archives across Europe and across the C-SCALE Data Federation. This service will support scientists, researchers and any other user communities, to quickly find the data they were looking for in the huge offer of Copernicus Data.
The Metadata Query Service (MQS) implements a STAC API to accept and answer STAC-compliant queries for products available across the C-SCALE Data Federation. It is aware of individual sources of data in the federation, and can forward incoming queries to those sources (sites), receive their responses and combine them into a compound response, which is then returned to the user, indicating the availability of products matching their query across the federation.
The MQS can also be made aware of different sites’ focus in terms of geographical area, acquiring and retention policy, product type selection and similar factors, so that incoming queries do not need to be redistributed to all sites but rather only to those who are likely to possess matching products.
The C-SCALE Compute Federation provides uniform access to a federation of computing and data providers to execute Copernicus and Earth Observation (EO) workloads. The federation offers interfaces to access two types of resources and associated storage solutions:
1. Cloud interface: access to Cloud resources of the federation as IaaS and container platforms (Kubernetes) with federated orchestration for the deployment of applications and platforms across providers in a seamless way;
2. HPC and HTC interface: lightweight, federated and uniform access-integration layer to HPC and HTC systems.
Access is controlled via authentication and authorisation solutions compatible with the EOSC AAI. Access is granted based on membership of users to one of the supported communities. Each community has a manager or Principal Investigator (PI) that is responsible for (i) managing the members of the community, and (ii) the usage of the resources made available via C-SCALE services. Communities will be created after requests for the service.
With this service a user can easily deploy a workflow that produces a monthly high resolution, seasonal, ensemble drought forecast for a river basin of interest.
The service has the following functionality:
2. Prepare the data for ingestion into the WFLOW hydrological model.
3. Produce a 50 member ensemble forecast using WFLOW.
4. Visualise the forecast in an interactive Jupyter Notebook displaying river discharge timeseries and interactive maps of soil moisture anomalies (in development).
The service is currently available for deployment on C-SCALE’s HTC infrastructure. Access is to (HTC) resources to deploy this service is achieved via SRAM.