This project developed a new method for visualizing and interacting with 3D atmospheric data from NASA satellites. Python scripts convert cloud data from NASA's Atmospheric Infrared Sounder (AIRS) into 3D models in Blender. The models represent cloud properties like temperature and density using colored cylinders. Animations and comparisons with other datasets demonstrate the benefits of 3D over 2D views. The goal is to create photorealistic cloud models and integrate the visualizations into virtual and augmented reality applications to enhance scientific understanding.