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Title:
Classifying Objectively Identified Wind Changes Using Synoptic Pressure Cycles
Date:
February 2007
Organisations
Bureau of Meteorology
Authors:
Huang Xinmei and Graham Mills
Location:
Australia, Australia

Overview

In this paper the synoptic pressure cycle, which in its simplest form in the mid-latitudes can be represented by a cosine function of single-station pressure observation time series that corresponds to the passage from a high pressure system through low pressure minimum and back to high pressure, is treated objectively using fuzzy-logic.

Using this approach, the general pressure cycle can be objectively classified into 6 phases – falling pressure, local minima, major minima (passage of a trough or low), rising pressure, local maxima, and major maxima (high pressure system passage).

It is shown that the objective wind changes that can be identified using previously developed fuzzy-logic techniques can be classified and grouped according to the phase of the synoptic pressure cycle in which they occur. This presents a potential method of simplifying the interpretation of objective wind changes, and also of verifying their numerical prediction.

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