| << | Convection, Turbulence and Precipitation | >> |
Abstract
The NCU(National Central University) ISS(Integrated Sounding System) was deployed in the southwestern area of Taiwan during May 15 to June 30, 2008 for the Taiwan Island Monsoon Rainfall Experiment(TiMREX). This 915 MHz wind profiler radar had been deployed in Dongsha island during May 5 to June 25, 1998 for the SCSMEX and deployed in the southeastern coast of Taiwan(Cheng-Kung station) during May 5 to June 30,2001 for the GIMEX. It was also deployed in the southern part of Taiwan in the past three years¡¦ fall seasons for air pollution meteorology observation. A wide variety of convective systems were observed during TiMREX, SCSMEX and GIMEX. The primary goal of these deployments were to measure the mesoscale structure of convective weather system and detail kinematic and thermodynamic structure change of the boundary layer flow and the local circulations. The detail boundary layer structure associated with several major convective events and severe air pollution episods will be discussed and compared in this investigation.
The Tawian Experimental Atmospheric Mobile-Radar (TEAM-R) is Taiwan¡¦s first mobile meteorolgical radar. Its construction was supported under a joint project issued to three institutes in Taiwan, including National Central University, National Taiwan University, and Chinese Culture University. TEAM-R is a X-band dual-polarimetric radar. After completing its construction in March, 2008, TEAM-R participated the SouthWest Monsoon Experiment, also known as Terrain-influenced Monsoon Rainfall Experiment (SoWMEX/TiMREX), conducted from May to June, 2008 in southern Taiwan. TEAM-R stationed at four different sites in the field for 50 consecutive days. The accumulated operational time was approximately 620 hours. At the early stage of the field experiment, TEAM-R was deployed at the same location with NCAR S-POL. This paper demonstrates a few cases of the TEAM-R measurements during SoWMEX/TiMREX, and shows the results of the attenuation correction using S-POL data sets.