Update README.md

README.md

@@ -12,6 +12,8 @@ pipeline_tag: graph-ml
 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 10 days forecast](aifs_10days.gif)
+
 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.
@@ -24,6 +26,12 @@ are available to the public under ECMWF’s open data policy.
 
 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. 
+
+<div style="display: flex;">
+  <img src="encoder_graph.jpeg" alt="Encoder graph" style="width: 50%;"/>
+  <img src="decoder_graph.jpeg" alt="Decoder graph" style="width: 50%;"/>
+</div>
+
 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.