Update README.md

README.md

@@ -12,7 +12,10 @@ 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)
+<div style="display: flex; justify-content: center;">
+  <img src="aifs_10days.gif" alt="AIFS 10 days Forecast" style="width: 50%;"/>
+</div>
+
 
 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
@@ -27,7 +30,7 @@ are available to the public under ECMWF’s open data policy. (https://www.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. 
 
-<div style="display: flex;">
+<div style="display: flex; justify-content: center;">
   <img src="encoder_graph.jpeg" alt="Encoder graph" style="width: 50%;"/>
   <img src="decoder_graph.jpeg" alt="Decoder graph" style="width: 50%;"/>
 </div>