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  4. Generalized Empirical Formulas of Threshold Distance to Characterize Cyclone–Cyclone Interactions
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Category: Industrial Electronics
By MTech Projects
MTech Projects
15.May
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Generalized Empirical Formulas of Threshold Distance to Characterize Cyclone–Cyclone Interactions

PROJECT TITLE :

Generalized Empirical Formulas of Threshold Distance to Characterize Cyclone–Cyclone Interactions

ABSTRACT:

This paper presents a framework of using remote sensing imagery and image processing techniques to investigate the interaction among typhoons or tropical cyclones (TCs) with and while not the involvement of mid-tropical depressions (TDs) or tropical storms (TSs). The cyclone–cyclone interaction (named the Fujiwhara result) may happen when two TCs are located at a distance at intervals 140zero km. But, when there exists a mid-TD between the 2 TCs even with a distance of additional than 1400 km, however usually inside a distance of 150zero–270zero km, the mid-TD might induce impacts on the two cyclones, defined as a TD-inlaid cyclone–cyclone interaction. The existence of the mid-TD significantly complicates weather forecasting thanks to difficulty in modeling its influence on the two cyclones. During this paper, we proposed innovative empirical formulas of threshold distance to characterize cyclone–cyclone interactions either with or without the involvement of the TD(s). We tend to generalize empirical formulas for interaction distances between TCs and TD/TS connected to current-intensity range, size issue, height difference, and rotation factor. To validate the appropriateness of the generalized empirical formulas, we have a tendency to choose and analyze seven sets of two-hurricane events. It is shown that the generalized formulas successfully predicted the impact of mid inlaid TC/TS quantitatively. The mid-TD's effects on the two cyclones represent a new side and a considerably improved understanding for the prediction of additional sophisticated cyclone–cyclone interactions. Note that the empirical formulas are derived from a very little set of events and that they have to be verified with a sufficient knowledge set for future practical use.

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