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- Data processing frameworks in python:
numpy/xarray: should we embrace rich functionality of frameworks like xarray or use pure numpy API solutions for compatibility?
- how to write data back to grib and other data formats.
Metadata and grid information in the framework.
Evaluate and learn from typical member state operators and grids for data processing.
Dask and task scheduling: How to parallelize the dags.
Performance evaluations: dask, numba, GPU.
Event driven processing.
- FDB:
- How to deploy a FDB server in order to deploy data out of the HPC center.
- Learn from operational aspects of deployments of FDB at ECMWF.
- Analysis of FDB performance for the MeteoSwiss data deployment
- polytope:
- Design of the data bridge design using polytope serving FDB data.
- MARS language: for COSMO/ICON data of the MeteoSwiss operational data.
Conclusions and results of the different activities are summarized in the following sections of the quarterly report.
FDB
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