Cloud-Type Classification Using Vision-Language Model With Cloud Multimodal Adapter (opens in new tab)

The existing methods for cloud-type classification primarily rely on cloud observation data containing low-level semantic information, e.g., cloud images and millimeter-wave cloud radar (MMCR) observations, which limits the ability to bridge the gap between original cloud data and human cognitive understanding. In this article, we apply a large language model (LLM) to generate cloud description texts that include high-level semantic information, and we integrate cloud images, MMCR observation...