Quantitative Classification of Northeast Asian Dust Weather and Its Applications
沙尘天气定量分级方法研究与应用

A classification based on dust concentration for operational usage is studied.A method to classify the dust weather(e.g.,severe dust storm,dust storm and blowing dust) based on the retrieved dust concentration was set up by employing a statistic formulation between observed visibilities and the dust concentration.These results were derived from the dust cases from March to May,2004 and 2005.The dust model output was verified by using the observational-derived dust concentration.The good agreement between them can be found.It shows that the numerical dust prediction model has the skill in modeling the dust event,however,there still exist the bias between them.Therefore,it is necessary to explore a new statistical relationship to utilize the model output in order to reduce the bias.According to the same statistic formulation above,a revised statistical relationship is proposed in which the predicted dust concentration from model,rather than observation one,was classified to match the dust weather classification.The significance of the new classification of the dust concentration is to make the model prediction to be used better in dust weather forecast.