博碩士論文 966201014 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:61 、訪客IP:3.233.226.151
姓名 廖信豪(Xin-hao Liao)  查詢紙本館藏   畢業系所 大氣物理研究所
論文名稱 利用SoWMEX/TiMREX實驗期間X-band雷達資料估計降雨
(The Rainfall Estimation Using the X-band Radar Data during SoWMEX/TiMREX)
相關論文
★ 賀伯颱風與地形間的交互作用★ 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
★ 利用與滴譜儀分析雨滴粒徑分布:納莉颱風個案★ 利用都卜勒雷達分析颱風風場結構 - 2001年納莉颱風
★ 宜蘭地區豪雨個案之研究★ 利用二維雨滴譜儀研究雨滴譜特性
★ 利用Extended-GBVTD方法反求非軸對稱颱風(颶風)風場結構★ 利用中央大學雙偏極化雷達資料反求雨滴粒徑分佈及降雨率方法的研究
★ 納莉颱風登陸時的結構演化★ 雙偏極化雷達資料分析梅雨鋒面雨滴粒徑分佈的物理特性
★ 台灣北部初秋豪雨個案之降雨特性研究★ 雨滴粒徑分布模擬─雙偏極化雷達驗證
★ 梅雨降水系統的雙偏極化雷達資料分析與WRF模式模擬研究★ 2007年梅雨季期間之颮線個案分析
★ MM5模式模擬之納莉颱風(2001)登陸時風場結構變化★ SoWMEX/TiMREX個案中雨滴粒徑分佈之收支分析
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 台灣5 到 6月份的梅雨鋒面以及7到9月間的颱風,除了系統本身主要環流和降雨之外,經常會引進強烈的西南氣流並夾帶著劇烈豪雨,對台灣地區造成重大災害。因此,定量降水估計及預報的準確性就顯得相當重要。
而雷達觀測能提供高時空解析度的觀測資料,透過雙偏極化雷達觀測可得到偏極化參數Z(reflectivity)、ZDR(differential reflectivity)、ΦDP(differential phase)、KDP(specific differential phase)及ρhv(correlation coefficient)等,利用這些偏極化參數得到的降雨估計演算法,如:R(Z),R(Z,ZDR)、R(KDP)等不同的關係式估計降雨,近十幾年來在不同波段的雙偏極化雷達被廣泛的應用,降雨估計的精確度也有不錯的結果。
本研究主要是利用在西南氣流實驗期間,中央大學車載X-波段雙偏極化雷達(TEAM-R)的觀測資料(Z、ZDR、KDP)估計降雨,與雨滴譜儀(二維雨滴譜儀2-DVD和JWD撞擊式雨滴譜儀)、局屬自動雨量站的實際觀測作比較。來評估X-波段雙偏極化雷達在台灣南部地區估計降雨的適用性。
使用的資料時間為2008年6月14日的個案(IOP8)。結果顯示在降雨估計方面,利用R(KDP)其精確度來的比R(Z)還要好。利用R(KDP)估計降雨產生誤差的分布情形,隨著觀測距離越遠與地勢高度增加。使用的資料高度也跟著增加,與地面雨量站或雨滴譜儀站的變異性也就越大。根據前人研究,降雨估計所能接受的誤差範圍約在15到20%以內。因此利用TEAM-R雷達資料估計降雨時,20公里以內是不錯的估計範圍。另外,因受ZDR衰減修正不足的影響,在利用R(Z,ZDR) 估計降雨時,會有高估的情況產生。
摘要(英) 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 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.
  This study mainly exploit the polarimetric data (Z, ZDR and KDP) of the NCU’s mobile X-band polarimetric radar (TEAM-R) during SoWMEX/TiMREX to estimate rainfall. These polarmetric rainfull estimates then were compared with measurement from disdrometers (2DVD and JWD) and the CWB’s automatic rain gauges. The suitability of the quantitative precipitation estimates retrieved from the X-band polarimetric radar in southern Taiwan was evaluated.
  The data on June 14, 2008 (during IOP-8) were analyzed. In rainfall estimation, R(KDP) is shown to perform better than R(Z), but the errors utilizing R(KDP) increase as the target distance gets larger and the terrain gets higher. The higher the used data is, the larger the variability between the radar and the rain gauge (or disdrometer) can be. According to former studies, the acceptable range of errors in rainfall estimation is approximately 15~20%. For this reason, TEAM-R’s data in a range within 20 kilometers are acceptable. In addition, R(Z,ZDR) usually overestimates the rainfall due to insufficient correction for the attenuation of ZDR.
關鍵字(中) ★ 定量降水估計 關鍵字(英) ★ quantitative precipitation estimation (QPE)
論文目次 英文摘要..................................................i
中文摘要.................................................ii
致謝....................................................iii
目錄.....................................................iv
圖目錄...................................................vi
表目錄.................................................xiii
符號說明................................................xiv
第一章:序論..............................................1
1- 1:前言........................................1
1- 2:文獻回顧....................................2
1- 3:研究方向....................................4
第二章:資料來源..........................................5
2- 1:觀測儀器....................................5
2- 2:個案介紹....................................7
第三章:TEAM-R雷達觀測與S-POL雷達觀測比較.................9
3- 1:雷達資料處理................................9
3- 2:風場合成...................................12
3- 3:偏極化參數比較.............................14
第四章:雷達降雨估計精確度...............................19
4- 1:利用雨滴譜儀資料推導降雨估計公式...........19
4- 1- 1:R(Z)關係式.........................19
4- 1- 2:R(KDP)關係式.......................21
4- 1- 3:R(Z,ZDR)關係式.....................22
4- 2:R(KDP)應用.................................23
4- 2- 1:R(KDP)與R(Z)在降雨估計精確度的比較.23
4- 2- 2:利用R(KDP)估計降雨與地面觀測比較...25
4- 3:利用R(Z,ZDR)估計降雨與地面觀測比較.........27
4- 4:小結.......................................30
第五章:結論與未來展望...................................31
5- 1:結論.......................................31
5- 2:未來展望...................................34
參考文獻.................................................35
附圖.....................................................38
附表.....................................................84
參考文獻 張偉裕, 2002: 利用雨滴譜儀分析雨滴粒徑分佈(納莉颱風個
案), 國立中央大學碩士論文, 95頁。
劉慈先, 2002: 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, 國立中央大學碩士論文, 67 頁。
林位總, 2004: 利用二維雨滴譜儀研究雨滴譜特性, 國立中央大學
碩士論文, 89頁。
紀博庭, 2005: 利用中央大學雙偏極化雷達資料反求雨滴粒徑分佈
及降雨率方法的研究, 國立中央大學碩士論文, 70頁。
呂崇華, 2006: 雙偏極化雷達資料分析梅雨鋒面雨滴粒徑分佈的物
理特性, 國立中央大學碩士論文, 100頁。
Anagnostou, E. N., W. F. Krajewski, A. Kruger, and B. J.
Miriovsky, 2004: High-Resolution Rainfall Estimation
from X-Band Polarimetric Radar Measurements, Journal
of Hydrometeorology, Volume 5, Issue 1, pp.110–128
Bringi, V. N., V. Chandrasekar, N. Balakrishnan, and D.S.
Zrnic, 1990: An Examination of propagation effects
in rainfall on radar measurements at microwave
frequencies. J. Atmos. Oceanic Technol., 7, 829-840.
Chong, M., and J. Testud, 1983: Three-dimensional wind
field analysis from dual-Doppler radar data, Part III:
The boundary condition: An optimum determination based
on a variational concept, J. Climate and Appl. Meteor,
22, 1227-1241.
Gorgucci, E., G. Scarchilli, and V. Chandrasekar, 1999: A
procedure to calibrate multiparameter weather radar
using properties of the rain medium, IEEE Trans.
Geosci. Remote Sens., 37, 269–276.
Liou, Y. -C., and Y.-J. Chang, 2009: A variational
multiple-doppler radar three-dimensional wind
synthesis method and its impact on thermodynamic
retrieval. Mon. Wea. Rev. ( in press )
Liu, D. C., and J. Nocedal, 1988: On the limited memory
BGFS method for large scale optimization, Tech. Rep.
NAM 03, Department of Electric Engineering and
Computer Science, Northwestern University, 26 pp.
Matrosov, S. Y., D. E. Kingsmill, B. E. Martner, and F.
Martin Ralph, 2005: The Utility of X-Band Polarimetric
Radar for Quantitative Estimates of Rainfall
Parameters, Journal of Hydrometeorology, Volume 6,
Issue 3, pp. 248–262.
———, R. Cifelli, P. C. Kennedy, S. W. Nesbitt, S. A.
Rutledge, V. N. Bringi, and B. E. Martner, 2006: A
Comparative Study of Rainfull Retrievals Based on
Specific Differential Phase Shifts at X- and S-Band
Radar Frequencies, J. Atmos. Oceanic Technol., 23,
952–963.
O'Brien, J. J., 1970: Alternative Solutions to the
Classical Vertical Velocity Problem. J. Appl. Meteor.,
9, 197–203.
Sachidananda, M. and D.S. Zrnic, 1986: Differential
propagation phase shift and rainfall rate estimation.
Radio Sci., 21,235-247.
Shapiro, A., S. Ellis, and J. Shaw, 1995: Single-Doppler
velocity retrievals with Phoenix II data: Clear air
and microburst wind retrievals in the planetary
boundary layer, J. Atmos. Oceanic Technol., 52, 1265–
1287.
Vivekanandan, J., G. Zhang, S. M. Ellis, D. Rajopadhyaya,
and S. K. Avery, 2003: Radar reflectivity calibration
using differential propagation phase measurement.
Radio Sci., 38, 8049, doi: 10.1029/2002RS002676.
Zrnic’ D.S., T.D. Keenan, L.D. Carey, and P. May, 2000:
Sensitivity analysis of polarimetric variables at a 5-
cm wavelength in rain. J. Appl. Meteorol., 39, 1514-
1526
指導教授 陳台琦(Tai-Chi Chen Wang) 審核日期 2009-7-9
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明