Graphical Abstract

Lu, X., W.-K. Wong, H. Yu, X. Yang, 2022: Tropical cyclone size identification over the Western North Pacific using support vector machine and general regression neural network. J. Meteor. Soc. Japan, 100, 927-941.
Early Online ReleaseGraphical Abstract


Plain Language Summary: Identification models of size for TCs in the WNP were proposed based on the infrared channel imagery of geostationary meteorological satellites. Several different machine learning algorithms were tested for different TC size parameters, including RMW, R34, R50, and R64. It is obtained that RMW and R34 can be best estimated by the support vector machine models, while R50 and R64 can be best estimated by the general regression neural network models. These models are used to set up a dataset of TC size for a nearly 40-yr period in the WNP region.