日本地球惑星科学連合2014年大会

日本地球惑星科学連合2014年大会

2014年4月28日〜5月2日パシフィコ横浜 会議センター
日本地球惑星科学連合
日本地球惑星科学連合2014年大会

日本地球惑星科学連合2014年大会

2014年4月28日〜5月2日パシフィコ横浜 会議センター

[AAS01-P02_PG]Development of high resolution spatio-temporal precipitation data using a network of polarimetric X-band radars in Japanポスター講演3分口頭発表枠

*KIM Yu-ra1、LEE Dong-in1、JEONG Jong-hoon1、MAKI Masayuki2(1.Department of Environmental Atmospheric Sciences, Pukyong National University、2.Department of Research and Education Center for Natural Hazards, Kagoshima University)

キーワード:

convective cell、X-band polarimetric radar、high resolution precipitation data

Localized convective precipitation develops rapidly in a very short time and is conducive to extreme local rainfall amount. The X-band polarimetric radar is useful to analyze the convective precipitation because it can provide us polarimetric radar parameters which are useful to understand microphysical process in the precipitation. However, the radar observation has some limitations in detecting initial stage of rapidly developing convective cell; the radar volume scan strategy adopted in operational radar is 5 minute interval which is not enough for measuring rapidly developing convective precipitation. To detect the early stage of convective cell, we developed the algorithm which is based on the interpolation method both in space and time. The algorithm reproduces higher resolution spatio-temporal volumetric data using the operational network of four X-band polarimetric radars. The mosaic of multiple radars could be benefit for increased sampling into a certain volume. In addition, different scan strategy at each radar also improve spatio-temporal resolution. The algorithm is applied to radar data of convective precipitations observed in Kanto area in 2012. The new volumetric data can recognize more detail about echo which developed rapidly and detect the first appearance of convective echo at upper layer. Early detection of convective precipitation at upper layer can be useful for nowcasting or very short-term forecasting.