Session 2D.1 Defining the Lifecycle of the Extratropical Transition of Tropical Cyclones using Remotely-Sensed Imagery

Monday, 10 May 2010: 10:15 AM
Tucson Salon A-C (JW MArriott Starr Pass Resort)
David E. Kofron, Univ. of Arizona, Tucson, AZ; and M. F. Pineros, E. A. Ritchie, and J. S. Tyo

Presentation PDF (1.4 MB)

The extratropical transition (ET) of tropical cyclones (TCs) is a process in which recurving, warm-core TCs propagate poleward and interact with mid-latitude features, such as a cold-core pre-existing extratropical cyclone or trough, and transition into extratropical cyclones. During ET, TCs encounter environmental changes, such as increased Coriolis, decreased SSTs, and strong westerly flow and vertical wind shear. These changes cause drastic changes in the TC structure as it becomes an extratropical cyclone, which include, but are not limited to, an increase in the gale force wind field, increase in precipitation poleward and downstream, and a decrease in the asymmetry of the TC. Previous studies have divided the ET lifecycle into two stages – transformation and reintensification. Several of these studies objectively classify the times at which these two stages begin and end; however, these objective measures have been shown to have inconsistencies, including reliance on gridded analyses and computational difficulties.

This study attempts to define the ET lifecycle stages using an objective measure calculated directly from satellite infrared brightness temperature images. First, the gradient of brightness temperatures is found at every point in the image. Each point is then treated as if it were the center of a vortex, and the deviation angle between the real gradient angle and an ideal gradient angle, which is along a radial in a perfectly symmetric TC, is found for each point surrounding the target point within some radius. The signal variance is then defined as the variance of the deviation brightness angles where the ideal TC has a variance of 0 and the least symmetric TC has high variance values. Results will be presented that show a distinct evolution of the signal variance for various types of ET including a characteristic dramatic increase in the signal variance values in the early stages of ET associated with the loss of symmetry of the storm and subsequent evolution depending on the particular path through ET.

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