diff --git a/README.md b/README.md
index 169ee4e474685ffd47b75a2398660058a593a560..21879286b54c2ad7382ac208a308a80a873cacbb 100644
--- a/README.md
+++ b/README.md
@@ -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>`.
 
     ```bash
     [sbatch] ./visualize_postprocess_era5_<exp_id>.sh