Japan Geoscience Union Meeting 2016

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Poster

Symbol A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS13] Hyper-dense observation and forecast to elucidate micro-scale atmospheric phenomena

Mon. May 23, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Jun-ichi Furumoto(Research Institute for Sustainable Humanosphere, Kyoto University), Nobumitsu Tsunematsu(Tokyo Metropolitan Research Institute for Environmental Protection), Kentaro Araki(Meteorological Research Institute)

5:15 PM - 6:30 PM

[AAS13-P07] Data assimilation of Doppler Lidar data with high resolution weather model in Tokyo metropolitan area

*Kuniaki Higashi1, Kenya Yano2, Jun-ichi Furumoto2, Nobumitsu Tsunematsu3 (1.Research Institute for Sustainable Humanosphere, Kyoto University Metroweather Co., Ltd., 2.Research Institute for Sustainable Humanosphere, Kyoto University, 3.Tokyo Metropolitan Research Institute for Environmental Protection)

Keywords:Atmospheric boundary layer, Data assimilation , High resolution non-hydrostatic weather model

This study aims to investigate the impact of data assimilation of Doppler Lidar data with high resolution non-hydrostatic weather model in Tokyo metropolitan area. The small-scale convergence of surface wind field in the boundary layer is considered as one of the most important factor to determine the generation of heavy rainfall in urban area.
Considering that the complex feature of surface wind field has not fully elucidated, this study compared observation data with control simulation and data assimilation simulation.