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