added timeseries example img

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@ -132,6 +132,18 @@ The resulting training will be significantly more expensive, as more weights nee
and a much larger number of intermediate states needs to be processed. However, the increased and a much larger number of intermediate states needs to be processed. However, the increased
cost typically pays off with a reduced overall inference error. cost typically pays off with a reduced overall inference error.
```{figure} resources/timeseries-lss-subdiv-prediction.jpg
---
height: 300px
name: timeseries-lss-subdiv-prediction
---
Several time frames of an example prediction from {cite}`wiewel2020lsssubdiv`, which additionally couples the
learned time evolution with an numerically solved advection step.
The learned prediction is shown at the top, the reference simulation at the bottom.
```
## Source code ## Source code
In order to make practical experiments in this area of deep learning, we can In order to make practical experiments in this area of deep learning, we can

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