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