Model Card for chimp_smhi_v3
Retrieves surface precipitation and radar reflectivity from SEVIRI observations.
Model Details
Model Description
The chimp_smhi_v3 model is a 2+1D convolutional network that retrieves ground-based radar reflectivity and surface precipitation estimates from 15-minute MeteoSat SEVIRI observations. It is trained used OPERA and BALTRAD composite radar reflectivities as well as GPM CMB surface precipitation estimates.
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- Developed by: Simon Pfreundschuh
- Model type: CNN
- License: MIT
Model Sources [optional]
- Repository: https://github.com/simonpf/chimp
Uses
THe model is still experimental and should only be used for validation purposes at the current development stage.
How to Get Started with the Model
See instruction at [https://github.com/simonpf/chimp_smhi][https://github.com/simonpf/chimp_smhi]
Training Details
Training Data
Training was performed on two years (2019, 2020) of matched SEVIRI and OPERA/BALTRAD data.
Model Card Authors [optional]
@simonpf
Model Card Contact
@simonpf