# 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]

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- **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