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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/62254


    Title: 易受災地區之梅雨季定量降雨預報技術之建立與改進-子計畫:模式結合雷達及雨滴譜儀觀測的定量降雨預報技術(III);Integrated of Model with Disdrometer and Dual-Polarization Radar to Improve QPE and QPF (III)
    Authors: 陳台琦;陳景森;林沛練
    Contributors: 國立中央大學大氣科學系
    Keywords: 大氣科學
    Date: 2012-12-01
    Issue Date: 2014-03-17 11:24:24 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 研究期間:10108~10207;In Taiwan, the Mei-yu fronts in May and June and the typhoons in summer and early fall often induce strong southwesterly flows and consequent heavy rainfall, resulting in severe disasters. Therefore, the accuracy of quantitative precipitation estimation and forecast (QPE and QPF) is of great importance. Weather surveillance radars provide observational data at fine temporal and spatial resolutions; moreover, dual polarimetric radars offer parameters such as reflectivity (Z), differential reflectivity (ZDR), differential phase (ΦDP), specific differential phase (KDP) and copolar correlation coefficient (ρHV). In recent decades, a number of rainfall estimation algorithms utilizing these polarimetric parameters, e.g. R(Z), R(Z,ZDR) and R(KDP), are applied to dual polarimetric radars with different wavelengths and perform well in accuracy. In this project intends to use the mobile X-band dual polarimetric radar data (Z、 ZDR、KDP) during SoWMEX/TiMREX to estimate rainfall. And these polarmetric rainfull estimates then were compared with measurement from disdrometers (2DVD and JWD) and the CWB’s automatic rain gauges. To study the rainfall estimation method in Taiwan by the X-band dual polarization radar and discuss its accuracy. In addition, many researchers recently used different cloud microphysics schemes to simulate the SoWMEX cases. Therefore, project will verify the documented results of rainfall estimation during SoWMEX/TiMREX. The drop size distribution, liquid water content and rainfall are compared between the model simulation and radar retrieval. Cooperating with model developers, we suggest to tune the cloud microphysics scheme to enhance its capability of quantitative precipitation estimation and forecast. Further verification will be made in future rainfall experiments.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[Department of Atmospheric Sciences] Research Project

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