Year: 2023
Type: article
Abstract: Tropical cyclones (TCs) are catastrophic weather occurrences that can inflict massive damage in coastal regions across the world. Weather nowcasting, which is the weather forecast for a short time period, is one of the most challenging topics in meteorology. Weather radar and satellite are essential technologies for nowcasting, but issuing nowcasting warnings based on radar and satellite data is a difficult process. This proposed approach is of a deep learning approach for TC identification from aerial imagery, which includes a Deep Convolutional Neural Network of Alex-Net architecture as the classifier.
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
OpenAlex ID: W4367189035