scholarly journals Diagnosing Tropical Cyclone Rapid Intensification Through Rotated Principal Component Analysis of Synoptic-Scale Diagnostic Fields

10.5772/63988 ◽  
2016 ◽  
Author(s):  
Alexandria Grimes ◽  
Andrew E. Mercer
Keyword(s):  
Principal Component Analysis ◽  
Tropical Cyclone ◽  
Principal Component ◽  
Component Analysis ◽  
Rapid Intensification ◽  
Synoptic Scale ◽  
Rotated Principal Component Analysis

scholarly journals Global Stochastic Tropical Cyclone Model Based on Principal Component Analysis and Cluster Analysis

2014 ◽  
Vol 53 (6) ◽  
pp. 1547-1577 ◽  
Author(s):  
Sota Nakajo ◽  
Nobuhito Mori ◽  
Tomohiro Yasuda ◽  
Hajime Mase
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Tropical Cyclone ◽  
Observational Data ◽  
Principal Component ◽  
Component Analysis ◽  
Distribution Functions ◽  
Joint Probability Distribution ◽  
Northwestern Pacific ◽  
And Cluster Analysis

AbstractA global stochastic tropical cyclone model was developed as a means for preparing a large number of artificial tropical cyclone (TC) samples with different values for parameters such as track, minimum sea level pressure, and translation speed. In this paper, the model and the results of its verification are presented in detail. The proposed stochastic model is sensitive to approximations of the joint probability distribution functions (PDFs) of TC parameters and temporal correlations. A newly introduced accurate method for approximating joint PDFs by using principal component analysis and cluster analysis resulted in improved reproducibility of TC parameters. The simulation results were compared with historical observational data from the northwestern Pacific, southwestern Pacific, and North Atlantic Oceans. The grid-averaged mean values and distribution patterns of PDFs of TC parameters were in agreement with observational data.

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