Update README.md

README.md

@@ -15,6 +15,18 @@ The model is trained on the [Copernicus European Regional Reanalysis (CERRA)](ht
 You can find the training and inference code, as well as information about how to use the checkpoints in our [GitHub repository](https://github.com/HPI-DeepLearning/Cerrora).
 For more detailed information about the model, the training procedure, and the evaluation results, read our technical report (TODO: MISSING LINK).
 
+In addition, this repository also contains a small preprocessed excerpt from the CERRA dataset and the IFS boundary conditions to facilitate easy 
+testing of the models. 
+Both CERRA and IFS-HRES are provided by ECMWF under the the Creative Commons Attribution 4.0 International license.
+The full text of this license can be found [here](https://creativecommons.org/licenses/by/4.0/legalcode). 
+Compared to the original versions, our data is altered in some regards, for example we replace some variables with derived variables 
+for compatibility with the Aurora model.
+This concerns the 10 meter wind, which is supplied as wind strength and direction in CERRA, and converted to u and v components.
+We also calculate the specific humidity from the relative humidity supplied in CERRA
+Additionally, we add a soil type static variable by interpolating the ERA5 soil type variable.
+The scripts to replicate this preprocessing can be found in the GitHub repository.
+
+
 ## Model Architecture
 
 Aurora is a 1.3B parameter model consisting of an encoder that projects the input into a fixed-size latent,