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研究生:劉慈先
研究生(外文):Tsu-Hsien Liu
論文名稱:SCSMEX期間利用C-Pol偏極化雷達氣象參數觀測降水系統之分析
論文名稱(外文):The Characteristics Study of Two SCSMEX Precipitation System Through C-Pol Polarimetric Radar Obsevation
指導教授:陳台琦
指導教授(外文):Tai-Chi Chen Wang
學位類別:碩士
校院名稱:國立中央大學
系所名稱:大氣物理研究所
學門:自然科學學門
學類:大氣科學學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:74
中文關鍵詞:C-Pol偏極化雷達
外文關鍵詞:polarizationradaC-Pol
相關次數:
  • 被引用被引用:3
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  • 收藏至我的研究室書目清單書目收藏:1

本研究主要是探討在南海實驗計畫SCSMEX期間利用C-Pol偏極化雷達所觀測到明顯不同的兩個降水系統。分析C-Pol偏極化雷達觀測資料在通過系統時,由於參數本身的特性所產生的變化,藉由這些變化來討論這些參數對於描述降水系統現象的能力。
將這些偏極化雷達參數再經過像是平滑相位差ΦDP與利用垂直觀測資料(vertical pointing data)平移差異反射率ZDR的過程,以及由平滑過的ΦDP計算出差異相位差KDP,了解相位與回波及其他偏極化雷達參數之間的異同,並探討偏極化雷達之參數對降水粒子的統計特性與物理意義。
從雷達參數與降水參數(主要是降雨率R)之間的關係,我們也可以了解這些雷達參數所配置出來的降雨率會有所差異。為了能夠對照地面雨量站之實際觀測,我們再利用5月15日這一天有較長時間的降水系統通過位在C-Pol雷達西南方約45公里處的海面上之聲波雨量站資料來作分析。對照結果發現由KDP所計算出來的降水與地面觀測較為接近。
最後本篇研究也嘗試著利用較適當的降水關係式將5月18日0340 UTC的地面降水粒子做分類,利用不同的降雨率分成大雨、中雨以及小雨三種降水粒子。用統計的方式找出這三種降雨率落在偏極化雷達參數的範圍為何,藉以調整Vivekanandan et. al. (1999)所定義在S-Band偏極化雷達方面對這些降水粒子所界定的範圍,並且討論分類的結果。


During the SCSMEX experiment in 1998, at the Tongsa island a C-Pol radar, ISS ( Integrated Sounding System), and a few disdrometers were deployed. Two cases with obvious precipitation were selected for analysis. The first case was on May 18th near the onset of South China Sea monsoon, the second case was on June 8th .
The polarimetric radar data including the ZDR, ΦDP, and KDP and other variables was edited and analyzed for both cases to understand the rainfall characteristics difference between these variables. The hydrometer conditions at the different stages of the systems in these two cases were studied together with ISS and Acoustic Rain Gauge observation.
There are wide stratiform areas on both front and rear of the convective region in the symmetric squall line in May 18th case. An asymmetric squall line with a curved convective band as the leading edge was found in June 8th case. The rainfall estimate through the polarimetric variable was carried out within 60 km of the radar site.
From these two case studies, we found the KDP variable was quite reasonable and KDP is very sensitive to the structure of the system. KDP field is immune to the attenuation and system calibration error. We use the polarimetric variables to study the hydrometer type with in precipitation system. We also use the relationship between the polarimetric variable and rainfall rate to classify the hydrometer type with the case of May 15th .


摘要 i
誌謝ii
目錄 iii
圖表說明 v
第一章 前言 1
1.1 文獻回顧 1
1.1.1 偏極化雷達觀測 1
1.1.2 ATLAS 聲波雨量站 4
1.2 研究動機及目的 4
第二章 資料來源 6
2.1 SCSMEX南海季風實驗簡介 6
2.2 降水個案之簡介 7
第三章 偏極化雷達之參數 10
3.1 回波場CZ與UZ(reflectivity) 10
3.2 差異反射率ZDR(differential reflectivity) 10
3.3 相位差PH(phase shift)、差異相位差KDP(differential phase shift) 11
3.4 相關係數RH(correlation coefficient) 11
第四章 偏極化雷達之資料處理及統計特性 13
4.1 偏極化雷達參數之資料處理 13
4.1.1 由相位差單一累積量PH計算差異相位差KDP 13
4.1.2 利用垂直觀測資料vertical pointing data處理ZDR資料 14
4.2 由KDP-Z與ZDR-Z 分析降水粒子之統計特性 15
第五章 利用偏極化雷達參數求取降雨率 17
5.1 偏極化雷達參數與降水參數之關係 17
5.2 利用雷達參數計算出的降雨率對照雨量寄估計降水系統的結果19
第六章 利用PID (Particle Identification) 程式分析降水粒子23
6.1 PID ( Particle Identification ) 程式 23
6.2 由粒子分類 PID ( Particle Identification ) 分析系統的結果 25
第七章 個案分析 28
7.1 5月18日 28
7.2 6月8日 29
第八章 個案分析 30
8.1 結論 30
8.2 展望 31
參考文獻 32


張定祺, 2000: 南海季風實驗中尺度對流系統之C波段偏極化雷達個案觀測研究, 國立台灣大學,66頁Aydin, K., H. Direskeneli and T. A. Seliga, 1987: Dual-Poarization Radar Estimation of Rainfall Parameters Compared with Ground-Based Disdrometer Measurements: October 29, 1982 Central Illinois Experiment. IEEE Tran. on Geo. and Rem. Sensing, GE-25, 834-844.Aydin, K. V., N. Bringi and L. Liu, 1995: Rain-Rate Estimation in the Presence of Hail Using S-Band Specific Differential Phase and Other Radar Parameters., J. of Appl. Mete., 34, 404-410.Carey, L. D., S. A. Rutledge and D. A. Ahijevych , 2000: Correcting Propagation Effects in C-Band Polaimetric Radar Observations of Tropical Convection Using Differential Propagation Phase., J. of Appl. Mete., 39, 1405-1433.Doviak, R. J. and D. S. Zrnic’, 1993: Doppler Radar and Weather Observations. Academic Press, pp 562Feng L., Ben J. D. Jou and T. D. Keenan, 1999: The ZDR bias estimated by C-Pol radar during SCSMEX., Third Workshop on Radar Meteorology, 10-16.Jameson, A. R. 1999: A Comparison Between Polarimetric Radar and Wind Profiler Observation of Precipition Near Cloud Base in Tropical Showers. 29th Radar Meteorology. 430-433May, P. T., A. R. Jameson, T. D. Keenan, P. E. Johnston and W. Ecklund, 1999: Combined Wind Profiler/Polarimetric Rdar Studies of the Vertical Motion and Microphysical Characteristics of Sea Breeze. 29th Radar Meteorology. 347-350.May, P. T. and T. D. Keenan, 1999: Polarimetric Radar Measurements of Tropical Rain at a 5-cm Wavelength. J. of Appl. Meteo., 38, 750-765.Keenan, T., K. Glasson and F. Cummings, 1998a: The BMRC/NCAR C-Band Polarimetric (C-Pol) Radar System., J. of Atmo. and Ocean. Tech., 15, 871-886. Keenan, T., D. Short, B. Ferrier, W. Lau and G. Holland, 1998b: Radar and Some Associated Mesoscale Observations South China Sea Monsoon Experiment (SCSMEX). SCSMEX Radar Operation Plan, pp 13.Keenan T. D., D. S. Zrnic’, L. D. Carey and P. May, 2000: Sensitivity Analysis of Polarimetric Variables at a 5-cm Wavelength in Rain. Amer. Meteo. Soci. 39, 1514-1526Nystuen, J. A. 2000: Surface Measurements of Precipitation from an Ocean Mooring: The Underwater Acoustic Log from the South China Sea., J. of Appl. Meteo., 39, 2182-2197.Sachidananda, M. and D. S. Zrnic’, 1986: Differential propagation phase shift and rainfall rate estimation., Radi. Scien., 21, 235-247.Seliga, T. A., K. Aydin and H. Direskeneli, 1986: Disdrometer Measurements during an Intense Rainfall Event in Central Illinois: Implications for Reflectivity Radar Observations., J. of Clim. and Appl. Meteo., 835-846.Vivekanandan, J., D. S. Zrnic, S. M. Ellis, R. Oye, A. V. Ryzhkov and J. Straka, 1999: Cloud Microphysics Retrieval Using S-Band Dual-Polarization Radar Measurements., Bull. of the Ame. Meteo. Socie., 80, 381-388.Zeng, Z., 1998: Polarimetric Radar Studies of Convective Storm Development., Dep. of Atmo. Scie. University of Washington, pp.146.Zahria A. and D. S. Zrnic’, 1993: The 10-cm Wavelength Polarimetric Weather Radar at NOAA’s National Severe Storms Laboratory. Jour. of Atmo. and Ocea. tech., 10, 649-661

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