Compressing atmospheric data into its real information
There is a lot of artificial precision in the current CAMS data encoding setup, data takes a long time to archive and download.
We plan to use the CAMS global real-time forecast dataset to test different configurations and estimate data encoding errors.
The work on this project could help us to reduce both volume of data we store in our archive and the amount we disseminate to the users while preserving useful information.
Follow the developments on GitHub
Mentors
- Miha Razinger
- Juan-Jose Dominguez
Participants
Milan Kloewer