Update README.md

README.md

@@ -1,16 +1,26 @@
 ---
-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
 license: cc-by-sa-4.0
-
-
+metrics:
+- mse
+pipeline_tag: graph-ml
 ---
 
-# Model Card for {{ model_id | default("Model ID", true) }}
+# AIFS Single - v0.2.1
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-{{ model_summary | default("", true) }}
+Here, we introduce the **Artificial Intelligence Forecasting System (AIFS)**, a data driven forecast
+model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF). 
+
+AIFS is based on a graph neural network (GNN) encoder and decoder, and a sliding window transformer processor, 
+and is trained on ECMWF’s ERA5 re-analysis and ECMWF’s operational numerical weather prediction (NWP) analyses. 
+It has a flexible and modular design and supports several levels of parallelism to enable training on
+high resolution input data. AIFS forecast skill is assessed by comparing its forecasts to NWP analyses
+and direct observational data. 
+
+We show that AIFS produces highly skilled forecasts for upper-air variables, surface weather parameters and
+tropical cyclone tracks. AIFS is run four times daily alongside ECMWF’s physics-based NWP model and forecasts
+are available to the public under ECMWF’s open data policy.
 
 ## Model Details
 
@@ -206,4 +216,4 @@ Lang, S., Alexe, M., Chantry, M., Dramsch, J., Pinault, F., Raoult, B., ... & Ra
 
 ## Model Card Contact
 
-{{ model_card_contact | default("[More Information Needed]", true)}}
+{{ model_card_contact | default("[More Information Needed]", true)}}