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3rd AtmoRep roadmap meeting
Michael Langguth edited this page Nov 4, 2024
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- Participants: Nishant Kumar, David Greenberg, Martin Schultz, Asma Semcheddine, Michael Langguth, Julius Polz, Ankit Patnala, Kacper Nowak
- Start: 14:15, end: 14:45
- Python environment for AtmoRep (Julius and Simon)
- current issue:
pip
always installs latest package versions which may trigger incompatabilities - possible solution: fix Python package versions in setup
- shared Python environment should be targeted (cetralized environment)
- beneficial for the Hackathon
- easier for onboarding of new partners
- reduces inodes in the project
- current issue:
- HClimRep next to the Weather Generator (WG) project
- most development will be steered from WG in the future
- target: keep single code base
- different development branches for projects
- WG model and repo will be based on Christian's current repo for forecasting from satellite observations
- presented e.g. at LSDLES workshop in Bonn
- similaritites with requirement from WG project, i.e. fuse different (obs) data in joint latent space
- skilfull forecasting for 2m temperature form satellite data demonstrated
- ask Christian to give a presentation on OBS-based model (to be decided at the Hackathon in Cologne)
- envisioned future model architecture for WG project
- bunch of encoding networks for different datasets
- fusion network/layers for joint latent space
- forecast engine in the middle that operates data from joint latent space
- random masking not suifficient: ask model to reconstruct specific data sources from others
- research question: how to extend model to new datasets (fine-tuning or re-training)
The AtmoRep Collaboration - last update: April 2024