@@ -195,6 +195,7 @@ The following steps are part of the workflow:
```
4) **Postprocessing**:<br> At this step, the test dataset is applied on the data model. The predictions are stored in netCDF-files, while the models get also evaluated by some score metrics. Besides, example plots covering the range of the MSE are created for visualization. Note that the `exp_id` is inferred from the chosen experiment when running `generate_runscript.py`.
Furthermore, the climatology reference data for calculating the anamoly correlation coefficient is expected to be placed under `<my_target_dir>`.
