*3.6. Limitation*

The spectral translation task involves the transformation of energy intensity and graphic texture. In most cases, the model can generate plausible cloud and continental shapes. However, there are still many cases in which the model causes loss of details and distortions. As shown in Figure 6a, in the real image, the ocean is covered with large areas of thin clouds, yet. The generated image has difficulty in inferring the random phenomenal changes over a large area, thus yielding an erroneous result. As shown in Figure 6b, in continental terrain, a certain distortion and blurring is produced for the boundary areas with variable shapes.

Real 

Generated 

**Figure 6.** Example results of detail distortion on visible spectrum image. Subfigures (**a**) and subfigures (**b**) are two independent test cases.

These detail distortions may be due to the limitations in the structure of the generative network or feature selection. In future work, we will continue to explore these issues. For example, by selecting the feature data that can represent cloud height, and surface temperature, and enhancing the generated details of textures by better network structures.
