Firstly, the GridSat data set and the satellite of China Meteorological Administration were used to analyze the tropical cyclone scale data, and the typhoon data set was established. Secondly, based on the Pytorch deep learning framework developed by Facebook, YOLO V5 is trained with the 1994鈥 ...
To do that, the position of a TC should be located and its intensity classified. In this chapter, we briefly introduce the problem of TC positioning and classification, discuss its associated data complexity issues, and suggest future research directions in the field.关键词: Book_Chapter ...
'Bomb cyclone' adds to growing extreme weather trend The "once-in-a-decade" storm that devastated the Pacific Northwest last week caused widespread outages, damage, and at least two deaths. Data shows the storms are becoming more common. Could climate change be a key driver?
Results indicate that the proposed feature extraction technique and machine learning classifiers are feasible for the tropical cyclone intensity classification from infrared images.doi:10.1007/s12517-021-06997-5Chinmoy KarSreeparna BanerjeeArabian Journal of Geosciences...
Classification of tropical cyclone rain patterns using convolutional autoencoderRAINFALLTROPICAL cyclonesVERTICAL wind shearSTORMSHeavy rainfall produced by tropical cyclones (TCs) frequently causes wide-spread damage. TCs have different patterns of rain depending on their development stage, geographical location...
WEATHER forecastingThe Statistical Hurricane Intensity Prediction Scheme (SHIPS) is a multiple linear regression model for predicting tropical cyclone (TC) intensity. It has been widely used in operational centers because of forecast stability, high accuracy, easy interpretation, and low com...
tropical cyclone intensityhierarchical PSO algorithmclassification and forecastingC45 AlgorithmBased on the tropical cyclone(TC) observations in the western North Pacific from 2000 to 2008, this paper adopts the particle swarm optimization(PSO) algorithm of evolutionary computation to optimize one comprehensiv...
machine learning classificationSouthwest Pacific Ocean basinTropical cyclone developmentThis study evaluates the ability of machine learning algorithms to classify tropical depressions (TDs) and tropical storms (TSs) in the western region of the southwest Pacific Ocean (SWPO). Decision rules are generated...
track classificationclimate characteristicscause analysisUsing data of tropical cyclones making landfall in China between May and October each year during the1951-2015 period from the Shanghai Typhoon Institute, China Meteorological Administration(CMA-STI) Tropical Cyclone(TC) Best Track Dataset, we ...
tropical cycloneclassification of tracksK-means clusteringcharacter of clusterBased on the Joint Typhoon Warning Center(JTWC) best-track dataset between 1965 and 2009 and the characteristic parameters including tropical cyclone(TC) position,intensity,path length and direction,a method for objective classific...