Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 理學院
  3. 大氣科學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46480
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor曾于恆(Yu-Heng Tseng)
dc.contributor.authorChien-Hsuen Wangen
dc.contributor.author王建勛zh_TW
dc.date.accessioned2021-06-15T05:11:15Z-
dc.date.available2012-07-29
dc.date.copyright2010-07-29
dc.date.issued2010
dc.date.submitted2010-07-23
dc.identifier.citationDepperman, C. E. (1947), Notes on the origin and structure of Philippine typhoons, Bull. Amer. Meteor. Soc., 28, 399-404.
Dietrich,D.E., Marietta, M. G., and Roache, P.J. (1987), An ocean modeling system with turbulence boundary layers and topography: Part1. Numerical studies of small island wakes in the ocean, Int. J. Numer. Methods Fluids,7,833 855
Holland, G. J. (1980), An analytic model of the wind and pressure profiles in hurricanes. Mon. Wea. Rev., 108, 1212-1218.
I-I Lin, W. Timothy Liu, Chuin-Chieh Wu, John C. H. Chiang, and Chun-Hsin Sui (2003), Satellite observations of modulation of surface winds by ty-phoon-induced upper ocean cooling, Geophys Res Lett 30(3):10.1029=2002GL015674
I-I Lin, Chun-Chieh Wu, Iam-Fei Pun, and Dong-Shan Ko (2008), Upper-Ocean Thermal Structure and the Western North Pacific Category 5 Typhoons. Part I: Ocean Features and the Category 5 Typhoons' Intensification, Mon. Wea. Rev., 136, 3288–3306.
Kraus, E. B., and J. S. Turner (1967), A one-dimensional model of the seasonal thermocline, Tellus, 19, 98-106.
Leslie, L. M., and G. J. Holland (1995), On the bogusing of tropical cyclones in numerical models: A comparison of vortex profiles, Meteor. Atmos. Phys., 56, 101–100.
Oey, L.-Y., T. Ezer, D.-P. Wang, X.-Q. Yin, and S.-J. Fan (2007), Hurricane-induced motions and interaction with ocean currents, Cont. Shelf Res., 27, 1249–1263.
Price, J. F. (1981), Upper ocean response to a hurricane, J. Phys. Oceanogr., 11, 153-175
Price, J. F., R. Weller, and R. Pinkel (1986), Diurnal cycling: Observations and models of the upper ocean response to diurnal heating, cooling, and wind mixing, J. Geophys. Res., 91, 8411-8427.
Price, J. F., T. B. Sanford, and G. Z. Forristall, (1994), Forced stage response to a moving hurricane, J. Phys. Oceanogr., 24, 233–260.
Riehl, H. (1954), Tropical meteorology, McGraw Hill, New York.
Shay, L. K., R. L. Elsberry, and P. G. Black (1989), Vertical structure of the ocean current response to a hurricane, J. Phys. Oceanogr.,19, 649–669.

Yaling Tsai , C.-S. C., and Joe Wang (2008), Typhoon indeced upper ocean cooling off northeastern Taiwan, Geophys. Res.Lett., 35, L14605, doi:10.1029/2008GL034368.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46480-
dc.description.abstract海洋受到颱風的反應最主要是由於颱風移速、颱風強度以及海洋混合厚度的影響。本研究利用DieCAST(Dietrich/Center for Air-Sea Technology)海洋模式,首次有系統的比較DieCAST其海溫在強風速下的反應。
首先以DieCAST海洋模式為基礎,加上理想颱風風場阮肯渦漩(Rankine Vortex),設計颱風於緯度25度由西向東通過一固定理想海洋。比較的方法利用三種不同的初始條件:颱風移速、颱風強度和海洋初始混合層厚度,以海洋溫降的反應來探討DieCAST海洋模式在強風速下的合理性。實驗的結果顯示移速較慢及強度較強的颱風所引起的Ekman pumping較強,其所造成溫降也較強。移速較快的颱風混合較大,慣性震盪也比較強,溫降持續較久。初始混合層越厚的海洋對颱風的反應越不明顯。
值的注意的是在數值模式中不同的紊流參數化過程也是會造成溫降改變的因素之一,本研究使用兩種不同的紊流混合模式PP82 (Pacanowski and Philan der,1982)、PWP(Price-Weller-Pinkel,1986)來模擬並互相比較,實驗發現PWP紊流參數化在高風速下上層海洋混合過程較強,更能符合實際的海洋反應。
最後,我們仿照並設計了三個颱風的無因次參數:颱風移速(S)、Burger number(B)、Mach number(C)。S代表了慣性週期對颱風影響海洋時間的比值,其值決定了慣性震盪的強弱。B為混合層水流和斜溫層水流間的壓力強度指標,代表了脫離颱風影響後混合強弱的程度。C為海表面流速對颱風移速的比值,其代表湧升流的強弱。本實驗的結果顯示DieCAST模式對S和C值表現與一般海洋模式相當,S值越大則慣性震盪強,溫降持續時間較長,C值越大則湧升流越大,溫降也比較強。但不論在哪一種的紊流模式下B值的作用都不太明顯。
zh_TW
dc.description.abstractThe oceanic response to the idealized typhoon is studied using a 4th-order -accurate basin-scale ocean model. We examined the ocean response systematically under several wind strengths by adding idealized typhoons based on Rankine vortex. We set up the idealized typhoons with three different initial conditions: translation speed of typhoons, intensity of typhoons, and the thickness of initial ocean mixed layer. Nu-merical experiments showed that slower moving and stronger intensity typhoons lead to large Ekman pumping, which causes vigorous sea surface cooling. The faster moving typhoons lead to stronger mixing process and inertial oscillation, which enhances longer temperature drop and oscillation. Our results also showed that thicker initial mixed layer (larger momentum) has weaker ocean response to temperature drop.
We also find that different turbulence parameterizations (Pacanowski and Philan-der, 1982) and Price et al., 1986) also lead to different sea temperature cooling in the numerical model. Our results show stronger and more intensive surface mixing process in PWP occurs at high wind speed, which is closer to the reality.
Finally, three non-dimensional parameters are used to quantify the ocean response: Storm speed (S), Burger number (B), and Mach number (C). The Storm speed, S, which is the ratio of the local inertial period to the hurricane residence time, is expected to be large when the response of upper-ocean currents will include strong inertial motions. The Burger number, B, which is the pressure coupling between the mixed-layer current and the thermocline current, is expected to be large when the pressure coupling and the relaxation stage dynamics would be most pronounced. The Mach number, C, which is the ratio of sea surface current speed to typhoon moving speed, is expected to be large when the upwelling is strong. Our results showed that both Storm speed and Mach number show strong impacts on the ocean response to typhoons while the Burger number play only a minor role.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T05:11:15Z (GMT). No. of bitstreams: 1
ntu-99-R96229019-1.pdf: 12924123 bytes, checksum: cbee8be2cd6269bce2ba439cd8cce3b1 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents1 前言 1
2 研究工具與方法 4
2.1 模式介紹 …………………………………… 4
2.1.1 修正的Rankine Vortex …………………… 5
2.1.2 黏滯係數 …………………………………… 6
2.2 模式設定與初始場 ………………………… 6
2.2.1 颱風移動速度初始場 ……………………… 7
2.2.2 颱風強度初始場 …………………………… 8
2.2.3 海洋溫度初始場 …………………………… 8
2.3 紊流模式 …………………………………… 9
2.3.1 Pacanowski and Philander (PP82)……… 9
2.3.2 Price, Weller and Pinkel (PWP)……… 10
3 理想模式之比較 14
3.1 海洋對不同颱風移速的反應比較(PP82)… 14
3.2 海洋對不同颱風強度的反應比較(PP82)… 28
3.3 海洋對不同溫度初始場的反應比較(PP82) 35
3.4 海洋對不同颱風移速的反應比較(PWP) … 45
3.5 海洋對不同颱風強度的反應比較(PWP) … 53
3.6 海洋對不同溫度初始場的反應比較(PWP) 59
4 無因次參數分析 70
5 結論 77
6 參考文獻 79
dc.language.isozh-TW
dc.subject海洋反應zh_TW
dc.subject紊流參數化zh_TW
dc.subject颱風zh_TW
dc.subject湧升流zh_TW
dc.subjectTyphoonen
dc.subjectUpwellingen
dc.subjectOceanic responseen
dc.subjectTurbulence parameterizationen
dc.title理想颱風對海洋影響之數值模擬zh_TW
dc.titleModeling Oceanic Response to Idealized Typhoonsen
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林依依(I-I Lin),莊秉潔(BEN - JEI TSUANG),莊振義,詹森
dc.subject.keyword颱風,湧升流,海洋反應,紊流參數化,zh_TW
dc.subject.keywordTyphoon,Upwelling,Oceanic response,Turbulence parameterization,en
dc.relation.page80
dc.rights.note有償授權
dc.date.accepted2010-07-23
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept大氣科學研究所zh_TW
顯示於系所單位:大氣科學系

文件中的檔案:
檔案 大小格式 
ntu-99-1.pdf
  未授權公開取用
12.62 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved