4.6 Article

Anomaly temperature in the genesis of tropical cyclone

期刊

NATURAL HAZARDS
卷 114, 期 2, 页码 1477-1503

出版社

SPRINGER
DOI: 10.1007/s11069-022-05434-4

关键词

Anomaly temperature; Critical temperature parameter (CTP); Depression; Interpolation; Least square theory; Tropical cyclone; Transverse velocity

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This study develops a model to investigate the anomaly temperature in tropical cyclones and discovers its relationship with cyclone velocity. By analogically equating the cyclonic structure to a rotating hollow cylinder, the study provides insights into other critical factors for cyclone development. The empirical approach used in addressing tropical cyclone stability allows for the validation of the model using observational data.
Anomaly temperature plays an important role in the formation of tropical depressions over the sea bed. In this work a model has been developed expressing the relationship of cyclone anomaly temperature with radial and vertical distance of separation of the field point of inspection of a tropical cyclone. While studying the details of anomaly temperature it has been observed that it possesses an important relationship with the cyclone velocity. The vorticity and circulation associated with a cyclone has been properly addressed keeping the necessary applicable boundary conditions intact. The cyclonic structure has been analogically equated with a rotating hollow cylinder with maximum stability at the axis and decreasing stability towards the edge. As a consequence of this work it will be possible to correlate other critical factors necessary for the development of tropical cyclones viz. velocity, pressure etc. with the temperature and hence anomaly temperature of tropical cyclones. We try to address some important aspects of tropical cyclone stability in the empirical way so that we can use observational data to validate the model. We have also explained theoretically the phenomenon of maximum anomaly temperature at the core of the cyclone which is also validated by observational data and also propounded an important critical parameter from cyclone temperature which will help in forecasting a cyclone development from depression.

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