I apologize for not being able to find any relevant information on "Weather Video | CNN Background Recipe" in the provided search results. The search results appear to be related to developer challenges, libraries, and tools.

However, I can suggest some possible ways to achieve a weather video with a CNN background recipe:

1. Use a library like OpenCV: You can use OpenCV to read and process images or videos from various sources, including weather APIs.
2. Utilize a CNN model: You can use a pre-trained CNN model, such as VGG16 or ResNet50, to extract features from the video frames and then combine them with a background image.

Here's a simple example using OpenCV and Python:

import cv2

# Load the video file
cap = cv2.VideoCapture('weather_video.mp4')

while True:
    # Read a frame from the video
    ret, frame = cap.read()
    
    # Apply a CNN-based background subtraction algorithm (e.g., KNN)
    bg = cv2.createBackgroundSubtractorMOG2()
    fg = bg.apply(frame)
    
    # Display the foreground and background images
    cv2.imshow('Foreground', fg)
    cv2.imshow('Background', frame)
    
    # Exit on key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release resources
cap.release()
cv2.destroyAllWindows()

Note that this is a simplified example and may not produce the desired results. You may need to experiment with different algorithms, parameters, and techniques to achieve your specific use case.

If you have any further questions or would like more information on how to implement this, please let me know!