TFG-Net:Tropical Cyclone Intensity Estimation from a Fine-grained perspective with the Graph convolution neural network

• Published in: Engineering applications of artificial intelligence Vol. 118; p. 105673
• Main Authors: Xu, Guangning, Li, Yan, Ma, Chi, Li, Xutao, Ye, Yunming, Lin, Qingquan, Huang, Zhichao, Chen, Shidong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2023
• Subjects: Fine-grained; Graph convolution neural network; Intensity estimation; Tropical cyclone; Tropical cyclone intensity estimation; Intensity estimation; Fine-grained; Graph convolution neural network; Tropical cyclone; Tropical cyclone intensity estimation

Tropical Cyclone Intensity Estimation (TIE) is a fundamental study subject for tropical cyclone development, flood or landslide avoidance, etc. Despite considerable efforts, two main challenges remain unresolved in this critical endeavor. The first challenge is that the TIE task is frequently conduc...