Move sections from description to notes

assets/models/system/aurora/description.md

@@ -9,39 +9,3 @@ and one for ocean wave prediction.
 Currently, this implementation only includes the version for medium-term weather prediction.
 Please see the documentation of the Aurora Foundry Python API linked below for
 precisely which models are available.
-
-## Resources
-
-* [Documentation of the Aurora Foundry Python API](https://microsoft.github.io/aurora/foundry/intro.html)
-* [A full-fledged example that runs the model on Foundry](https://microsoft.github.io/aurora/foundry/demo_hres_t0.html).
-* [Implementation of the Aurora model](https://github.com/microsoft/aurora)
-* [Documentation of the Aurora implementation](https://microsoft.github.io/aurora/intro.html)
-* [Paper with detailed evaluation](https://arxiv.org/abs/2405.13063)
-
-## Quickstart
-
-```python
-from aurora import Batch
-
-from aurora.foundry import BlobStorageChannel, FoundryClient, submit
-
-
-initial_condition = Batch(...)  # Create initial condition for the model.
-
-for pred in submit(
-    initial_condition,
-    model_name="aurora-0.25-finetuned",
-    num_steps=4,  # Every step predicts six hours ahead.
-    foundry_client=FoundryClient(
-        endpoint="https://endpoint/",
-        token="ENDPOINT_TOKEN",
-    ),
-    # Communication with the endpoint happens via an intermediate blob storage container. You
-    # will need to create one and generate an URL with a SAS token that has both read and write
-    # rights.
-    channel=BlobStorageChannel(
-        "https://storageaccount.blob.core.windows.net/container?<READ_WRITE_SAS_TOKEN>"
-    ),
-):
-    pass  # Do something with `pred`, which is a `Batch`.
-```

assets/models/system/aurora/notes.md

@@ -1,3 +1,39 @@
+## Resources
+
+* [Documentation of the Aurora Foundry Python API](https://microsoft.github.io/aurora/foundry/intro.html)
+* [A full-fledged example that runs the model on Foundry](https://microsoft.github.io/aurora/foundry/demo_hres_t0.html).
+* [Implementation of the Aurora model](https://github.com/microsoft/aurora)
+* [Documentation of the Aurora implementation](https://microsoft.github.io/aurora/intro.html)
+* [Paper with detailed evaluation](https://arxiv.org/abs/2405.13063)
+
+## Quickstart
+
+```python
+from aurora import Batch
+
+from aurora.foundry import BlobStorageChannel, FoundryClient, submit
+
+
+initial_condition = Batch(...)  # Create initial condition for the model.
+
+for pred in submit(
+    initial_condition,
+    model_name="aurora-0.25-finetuned",
+    num_steps=4,  # Every step predicts six hours ahead.
+    foundry_client=FoundryClient(
+        endpoint="https://endpoint/",
+        token="ENDPOINT_TOKEN",
+    ),
+    # Communication with the endpoint happens via an intermediate blob storage container. You
+    # will need to create one and generate an URL with a SAS token that has both read and write
+    # rights.
+    channel=BlobStorageChannel(
+        "https://storageaccount.blob.core.windows.net/container?<READ_WRITE_SAS_TOKEN>"
+    ),
+):
+    pass  # Do something with `pred`, which is a `Batch`.
+```
+
 ## License
 
 This model and the associated model weights are released under the license [CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0).