Objective pattern discrimination model for dust storm forecasting

Abstract

For forecasting strong dust storms in the central and western areas of the Inner Mongolia Autonomous Region an objective discrimination approach has been developed. The 37 strong dust-storm events that occurred in this area during the last 40 years have been classified into four circulation patterns. Using the method suggested by Saaty (1996), a priority relationship matrix was set up and the discrimination function was then established. Depending on the function values, a judgement is then made about whether the real-time situation belongs to any of the four patterns and, if so, to which one. If there is a match, then this typical event can be used as a basis for forecasting a strong dust storm. The successful application of this approach is demonstrated using results from 1998 and 2000.