IT Infrastructure to host SYLVA data and run the algorithms

The IT infrastructure will consist of:1. Data storage solution- Level-0 Data storage for three SYLVA monitors will be at the LRZ (TUM-Med) supercomputing centre of the Munich universities. Newly developed /advanced databases and interfaces to application server(s) with high portability and virtualization for flexible exploitation beyond the project lifetime- Interface to level-1 data storage in the EBAS database hosted by NILU2. Application server for algorithms- Version-controlled Git-type storage for identification algorithms- Environment and computing capacity for CPU- (LRZ) and GPU- (FMI) based computations: operational and reanalysis with any algorithm stored in the project repository