update readme

examples/yinglong/README.md

@@ -5,7 +5,7 @@ YingLong, a high-resolution, short-term regional weather forecasting, artificial
 This code is the implementation of YingLong. We select the southeastern region of the United States, which is around the range of 110-130E, 15-35N, with 440 × 408 grid points in Lambert projection.
 
 <div align=center>
-    <img src="https://paddle-org.bj.bcebos.com/paddlescience/docs/Yinglong/fig_arch1.jpg" width="70%" height="auto" >
+    <img src="doc/fig_arch1.jpg" width="70%" height="auto" >
 </div>
 
 ## Installation
@@ -62,8 +62,4 @@ python examples/yinglong/predict_12layers.py
 # python examples/yinglong/predict_24layers.py
 ```
 
-We also visualized the predicted wind speed at 10 meters above ground level, with an initial field of 0:00 on January 1, 2022,
-
-<div align=center>
-    <img src="https://paddle-org.bj.bcebos.com/paddlescience/docs/Yinglong/result.gif" width="70%" height="auto" >
-</div>
+We also visualized the predicted wind speed at 10 meters above ground level, with an initial field of 0:00 on January 1, 2022. Click [here](https://paddle-org.bj.bcebos.com/paddlescience/docs/Yinglong/result.gif) to view the prediction results.