Cloud Microphysical Characteristic Analysis of a Cold Front Process and Aircraft Icing Forecast
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Abstract:
Based on the NCEP GDAS/FNL data and MODIS satellite data, the synoptic situation and cloud microphysical characteristics of a cold front process from the Huanghuai region to Jiangnan region on 19 February 2013 are diagnosed. The circulation field and thick clouds, low temperature and enough liquid water were conducive to aircraft icing in most areas from Jianghuai to the southern Huanghuai region, including the southern Henan Province. The IC index method and Willam algorithm are used to forecast the probability and intensity of aircraft icing. Through the verification based on the nearest time aircraft reports, it is found that the resolution of MODIS satellite data by the Willam algorithm is much higher than that of NCEP GDAS/FNL data by the IC index method, and the prediction accuracy is higher also than that by the IC index method. Using two methods simultaneously in practical work is helpful to reliable early warning service for aircraft icing.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.