오토존데를 이용한 고층관측 자동화 평가와 활용에 관한 연구

Abstract

In recent years, a clear increase in the occurrence frequency of high-impact weather systems with growing intensity in Korea, such as frequent typhoon landfalls, heavy rainfall, such a record amounts of rain in a day and untimely snowfall, is closely related with tremendous damages in property and life. These high-impact weather system are mainly related to mesoscale convective/precipitating system, putting limitations on better understanding of their structure and evolution processes based on convectional synoptic observation network. High-tech observing systems- based NCIO(National Center for Intensive Observation for Severe Weathers) establishment and upper-air and radar observation intensification are able to produce intensive observation data with high temporal and spatial resolution and to establish the database of high impact weathers. In 2002, the Vaisala aAutosonde System was installed in NCIO. The evaluation analysis of upper-air sounding automation using this system was carried out. Also, the cause of error of the system, and its solution was examined for past 5 years' operation. Results showed this system has some feasibility in automating upper-air sounding for KMA through the reduction of payment to the operator and operating cost for upper-air sounding based on application results to various weather events. The preliminary results on the understanding of the occurrence and development mechanism of typhoon 'RUSA' in 2002 and Changmas in 2005 using intensive autosonde data is be presented.