Tropical cyclone intensity objective monitoring method based on long-/short-term memory network model

Abstract

The invention provides a tropical cyclone intensity objective monitoring method based on a long- / short-term memory network model. The tropical cyclone intensity objective monitoring method comprises the following steps: (1) processing an infrared satellite cloud picture; (2) extracting brightness temperature characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); (3) extracting morphological characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); and (4) monitoring the tropical cyclone intensity based on a long- / short-term memory LSTM model according to the brightness temperature characteristic parameters and the morphological characteristic parameters in the steps (2) and (3). According to the monitoring method, the dependence on the experience of an operator in the tropical cyclone intensity determination process can be reduced, the subjectivity in the analysis process is reduced, and the tropical cyclone intensity determination precision is remarkably improved.

Description

technical field [0001] The present invention relates to the technical field of tropical cyclone intensity monitoring and early warning, in particular to a method of extracting tropical cyclone form and tropical cyclone structure information from Fengyun series stationary satellite observation data using Deviation Angle Variance Technique (DAV-T), And based on the Long Short-term Memory network (Long Short-term Memorynetworks, LSTM), the method of objectively monitoring the intensity of tropical cyclones. Background technique [0002] Tropical cyclones are one of the major disastrous weather systems affecting human activities. The system manifests itself as a deep low-pressure vortex system accompanied by disastrous weather such as strong winds, heavy rains, and storm surges. It is mainly formed and developed on the sea surface, and some systems will move into offshore and inland areas, affecting coastal areas of various countries. [0003] Tropical cyclone intensity is expr...

AI Technical Summary

Problems solved by technology

However, there is a complex and highly nonlinear relationship between the maximum wind speed of the system and related physical factors, and the simple statistical models used in the past have very limited room for improvement in the accuracy of monitoring the intensity of tropical cyclones

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