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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79936
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor吳俊傑(Chun-Chieh Wu)
dc.contributor.authorChun-Yeh Luen
dc.contributor.author盧俊燁zh_TW
dc.date.accessioned2022-11-23T09:17:28Z-
dc.date.available2021-08-04
dc.date.available2022-11-23T09:17:28Z-
dc.date.copyright2021-08-04
dc.date.issued2021
dc.date.submitted2021-07-27
dc.identifier.citationBender, M. A., and I. Ginis, 2000: Real-case simulations of hurricane-ocean interaction using a high-resolution coupled model: Effects on hurricane intensity. Mon. Wea. Rev., 128, 917–946. Chang, C. C., and C. C. Wu, 2017: On the processes leading to the rapid intensification of Typhoon Megi (2010). J. Atmos. Sci., 74, 1169–1200. Chang, Y. P., S.-C. Yang, K.-J. Lin, G.-Y. Lien, and C.-M. Wu, 2020: Impact of tropical cyclone initialization on its convection development and intensity: A case study of typhoon Megi (2010). J. Atmos. Sci., 77, 443–464. Chen, Y., and C. Snyder, 2007: Assimilating vortex position with an ensemble Kalman filter. Mon. Wea. Rev., 135, 1828-1845. Chen, H., , and D.-L. Zhang, 2013: On the rapid intensification of Hurricane Wilma (2005). Part II: Convective bursts and the upper-level warm core. J. Atmos. Sci., 70, 146–162. Chen, T.-C., and C.-C. Wu, 2016: The remote effect of Typhoon Megi (2010) on the heavy rainfall over northeastern Taiwan. Mon. Wea. Rev., 144, 3109-3131. Chen, X., R. G. Nystrom, Davis, C. A. Davis, and C. M. Zarzycki, 2021: Dynamical structures of cross-comain forecast error covariance of a simulated tropical cyclone in a convection-permitting coupled Aamosphere–ocean model. Mon. Wea. Rev., 149, 41-63. Cheng, C., and C.-C. Wu, 2020: The role of WISHE in the rapid intensification of tropical cyclones. J. Atmos. Sci., 77, 3139-3160. Chou, K.-H., and C.-C. Wu, 2008: Typhoon initialization in a mesoscale model – Combination of the bogused vortex with the dropwindsonde data in DOTSTAR. Mon. Wea. Rev., 136, 865-879. DeMaria, M., 1996: The effect of vertical shear on tropical cyclone intensity change. J. Atmos. Sci., 53, 2076–2088. ——, C. R. Sampson, J. A. Knaff, and K. D. Musgrave, 2014: Is tropical cyclone intensity guidance improving. Bull. Amer. Meteor. Soc., 95, 387-398. Dudhia, J., 1989: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two–dimensional model. J. Atmos. Sci., 46, 3077–3107. Elsberry, R. L., T. D. B. Lambert, and M. A. Boothe, 2007: Accuracy of Atlantic and eastern North Pacific tropical cyclone forecast guidance. Wea. Forecasting, 22, 747-762. Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585–605. ——, and F. Zhang, 2017: The role of inner-core moisture in tropical cyclone predictability and practical forecast skill. J. Atmos. Sci., 74, 2315–2324. Falvey, R., 2012: Summary of the 2011 western Pacific/Indian Ocean tropical cyclone season. Proc. 66th Interdepartmental Hurricane Conf., Charleston, SC, OFCM. Finocchio, P. M., and S. J. Majumdar, 2017: The predictability of idealized tropical cyclones in environments with time-varying vertical wind shear. J. Adv. Model. Earth Syst., 9, 2836–2862. Gaspari, G., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723–757. Holliday, C. R., and A. H. Thompson, 1979: Climatological characteristics of rapidly intensifying typhoons. Mon. Wea. Rev., 107, 1022–1034. Hong, S.–Y., and J.–O. J. Lim, 2006: The WRF single–moment 6–class microphysics scheme (WSM6). J. Korean Meteor. Soc., 42, 129–151. Hu, C., and C.-C. Wu, 2020: Ensemble sensitivity analysis of tropical cyclone intensification rate during the development stage, J. Atmos. Sci., 77, 3387-3405. Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by long–lived greenhouse gases: Calculations with the AER radiative transfer models. J. Geophys. Res., 113 Janjic, Zavisa I., 1994: The step–mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927–945. Johnson, A., X. Wang, J. R. Carley, L. J. Wicker, and C. Karstens, 2015: A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale precipitation forecasts. Mon. Wea. Rev., 143, 3087-3108. Judt, F., and S. S. Chen, 2016: Predictability and dynamics of tropical cyclone rapid intensification deduced from high-resolution stochastic ensembles. Mon. Wea. Rev., 144, 4395-4420. Kaplan, J., and M. DeMaria, 2003: Large-scale characteristics of rapidly intensifying tropical cyclones in the north Atlantic basin. Wea. Forecasting, 18, 1093–1108. Kain, John S., 2004: The Kain–Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170–181. Kelley, O. A., , J. Stout, , and J. B. Halverson, 2005: Hurricane intensification detected by continuously monitoring tall precipitation in the eyewall. Geophys. Res. Lett., 32, L20819. Lee, T., C.-C. Wu, and R. Rios-Berrios, 2021: The role of low-level flow direction on tropical cyclone intensity changes in a moderate-sheared environment. J. Atmos. Sci. (online published). Lin, K., S. Yang, and S. S. Chen, 2018: Reducing TC position uncertainty in an ensemble data assimilation and prediction system: A case study of Typhoon Fanapi (2010). Wea. and Forecasting, 33, 561-582. Lin, Y.-H., and C.-C. Wu, 2021: Remote rainfall of Typhoon Khanun (2017): Monsoon mode and topographic mode. Mon. Wea. Rev., 149, 733-752. Liou, C. S., and K. D. Sashegyi, 2012: On the initialization of tropical cyclones with a three-dimensional variational analysis. Nat. Hazards, 63, 1375–1391 Liu, S., D. Tao, K. Zhao, M. Minamide, and F. Zhang, 2018: Dynamics and predictability of the rapid intensification of super Typhoon Usagi (2013). J. Geophys. Res. Atmos., 123, 7462–7481 Meng, Z., and F. Zhang, 2008: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVAR in a real-data case study. Mon. Wea. Rev., 136, 522-540. Mesinger, F., 1993: Forecasting upper tropospheric turbulence within the framework of the Mellor-Yamada 2.5 closure. Res. Activ. in Atmos. and Ocean. Mod., WMO, Geneva, CAS/JSC WGNE Rep. No. 18, 4.28-4.29. Minamide, M., and F. Zhang, 2018: Assimilation of all-sky infrared radiances from Himawari-8 and impacts of moisture and hydrometer initialization on convection-permitting tropical cyclone prediction. Mon. Wea. Rev., 146, 3241-3258. Navarro, E. L., and G. J. Hakim, 2014: Storm-centered ensemble data assimilation for tropical cyclones. Mon. Wea. Rev., 142, 2309-2320. Necker, T., S. Geiss, M. Weissmann, J. Ruiz, T. Miyoshi, and G.-Y. Lien, 2020: A convective-scale 1000-member ensemble simulation and potential applications. Quart. J. Roy. Meteor. Soc., 146, 1423–1442 Nystrom,R.G. and F. Zhang, 2019: Practical uncertainties in the limited predictability of the record-breaking intensification of hurricane Patricia (2015). Mon. Wea. Rev., 147, 401-423 Peng, C., and C.-C. Wu, 2020: The Impact of outer-core surface heat fluxes on the convective activities and rapid intensification of tropical cyclones. J. Atmos. Sci., 77, 3907-3927. Poterjoy, J., and F. Zhang, 2011: Dynamics and structure of forecast error covariance in the core of a developing hurricane. J. Atmos. Sci., 68, 1586-1606. ——, F. Zhang, and Y. Weng, 2014: The effects of sampling errors on the EnKF assimilation of inner-core hurricane observations. Mon. Wea. Rev., 142, 1609-1630. Price, J. F., 1981: Upper ocean response to a hurricane. J. Phys. Oceanogr., 11, 153–175. Rogers, R., 2010: Convective-scale structure and evolution during a high-resolution simulation of tropical cyclone rapid intensification. J. Atmos. Sci., 67, 44–70. Shen, L., C.-C. Wu, and F. Judt, 2021: The role of surface heat fluxes on the size of Typhoon Megi (2016). J. Atmos. Sci., 78, 1075-1093. Tao, D., and F. Zhang, 2014: Effect of environmental shear, sea-surface temperature and ambient moisture on the formation and predictability of tropical cyclones: An ensemble-mean perspective. J. Adv. Model. Earth Syst., 6, 384–404. Wang, H., and Y. Wang, 2014: A numerical study of Typhoon Megi (2010). Part I: Rapid intensification. Mon. Wea. Rev., 142, 29–48. Wang, Y., and C.-C. Wu, 2004: Current understanding of tropical cyclone structure and intensity changes—A review. Meteor. Atmos. Phys., 87, 257-278. ——, Y. Rao, Z.-M. Tan, and D. Schönemann, 2015: A statistical analysis of the effects of vertical wind shear on tropical cyclone intensity change over the western North Pacific. Mon. Wea. Rev., 143, 3434–3453. Whitaker J. S., and T. M. Hamill, 2002: Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913–1924. Wu, C.-C., K.-H. Chou, P.-H. Lin, S. Aberson, M. S. Peng, and T. Nakazawa, 2007: The impact of dropwindsonde data on typhoon track forecasting in DOTSTAR. Wea. and Forecasting, 22, 1157-1176. ——, G.-Y. Lien, J.-H. Chen, and Fuqing Zhang, 2010: Assimilation of tropical cyclone track and structure based on the ensemble Kalman filter (EnKF). J. Atmos. Sci., 67, 3806-3822. ——, Y.-H. Huang, and G.-Y. Lien, 2012: Concentric eyewall formation in Typhoon Sinlaku (2008) – Part I: Assimilation of T-PARC data based on the Ensemble Kalman Filter (EnKF). Mon. Wea. Rev., 140, 506-527 Yamaguchi, M., T. Iriguchi, T. Nakazawa, and C.-C. Wu, 2009: An observing system experiment for Typhoon Conson (2004) using a singular vector method and DOTSTAR data. Mon. Wea. Rev., 137, 2801-2816. Zhang, D.-L., , and H. Chen, 2012: Importance of the upper-level warm core in the rapid intensification of a tropical cyclone. Geophys. Res. Lett., 39, L02806. Zhang, F., Z. Meng, and A. Aksoy, 2006: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfect model experiments. Mon. Wea. Rev., 134, 722–736. ——, and J. A. Sippel, 2009: Effects of moist convection on hurricane predictability. J. Atmos. Sci., 66, 1944–1961. ——, and D. Tao, 2013: Effects of vertical wind shear on the predictability of tropical cyclones. J. Atmos. Sci., 70, 975–983.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79936-
dc.description.abstract本研究利用Weather Research and Forecasting Model(WRF)搭配ensemble Kalman filter(EnKF)同化系統,建立出一組80個成員的系集模擬,並探導斜方差結構在颱風快速增強前的變化以及颱風結構對斜方差估計的影響。在氣旋相對座標下,各變數的標準差(STD)結構隨颱風強度增加而量值上升,並且有垂直方向的延伸。風場STD極值落在最大風速半徑內側,這與最大風速半徑位置不確定性有關,而風速極值則扮演調整STD量值的角色。溫度場STD則受到暖心的發展影響,在中層有較大的STD量值,並隨颱風增強、STD極值逐漸轉移到中高層。氣壓場的STD則維持軸對稱的結構。另外當使用尤拉座標、且中心位置誤差較大時,位置誤差會主導STD的結構,使風場STD量值增加、質量場與溫度場的STD空間分布改變。 風場、熱力場與質量場的相關性結構普遍呈現隨颱風強度增加而內縮,並有垂直風向上的延伸。但熱力場所能夠產生的相關性較小,並且相關性結構會因參考點位置有一點改變而有較大的差異,這主要是因為熱力變數受到較多小尺度且非線性的過程影響。質量場與溫度場對風場的相關性與颱風本身的動力過程一致,包含中心氣壓對風場的負相關以及中心溫度對風場的正相關,但產生的相關性量值會受到風場結構以及熱力結構的影響。 另外也探討了與快速增強相關變數的斜方差結構。風場、溫度場對慣性穩定度有一定的相關性,對高層暖心的相關性則與颱風強度有關,當颱風越強、高層暖心越明顯時,風場和溫度場皆能對高層暖心產生較高的相關性,另外颱風熱力結構也會影響溫度對高層暖心的相關性。另外低層水氣和對流爆發的相關性結構則顯示了較小的量值和範圍,但這或許可以透過濾除高頻訊號改善。最後也發現了RI時間的不確定性會顯著影響水氣的相關性結構。zh_TW
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dc.description.tableofcontents致謝…………………………………………………………………………………….i 摘要…………………………………………………………………………………....ii 英文摘要(Abstract)……………………………………………………………….iii 目錄……………………………………………………………………………………v 圖目錄………………………………………………………………………………..vii 第一章 前言…………………………………….…………………………………….1 1.1 颱風增強機制……………….………………………………………………1 1.2 系集預報與資料同化 ………………….…………………………………..3 1.3 研究動機及目的………………...…………………………………………..5 第二章 研究工具與方法…………………………………..…………………………7 2.1 模式設定…………………………………………………..………………...7 2.2 同化方法……..………………………………………………………….…..7 2.2.1 卡爾曼濾波器…..……………………...…………………………….7 2.2.2 系集卡爾曼濾波器……………………...………………………..….8 2.2.3 系集平方根濾波器………………………………..…………………9 2.2.4 斜方差結構…………………………….…………………………….9 2.2.5 斜方差擴張和斜方差局地化…………………..………………..…10 2.3 實驗設計…………………………………………………………………...11 第三章 系集模擬結果………………………..……………………………………..12 第四章 斜方差結構變化….……………………….………………………………..14 4.1 系集STD結構……………………..……………………………………...14 4.1.1 氣旋相對座標………………………………………….…………..14 4.1.2 尤拉座標及位置誤差對STD結構的影響…………………….….16 4.2 系集相關性結構……………………………………..………...…………..19 4.2.1 變數自身的相關性結構………………………………...………….19 4.2.2 溫度場對風場的相關性結構…………………………...………….21 4.2.3 氣壓場對風場的相關性結構…………………………...……….....22 4.2.4 相關性結構空間變異………………………………...………….....23 4.3 與RI相關之變數斜方差結構……………………………...……………...24 4.3.1 慣性穩定度………………………………………..………………..24 4.3.2 高層暖心……………………………………………..………….….25 4.3.3 對流爆發(CB)…….……………………….……..…………..….27 4.3.4 低層水氣………………………….………………..……………….28 4.3.5 RI時間不確定性的影響……………………………………………32 第五章 總結與未來展望………………………………….………..……………….34 5.1 結論……………………………………………………….………………..34 5.2 討論………………………………………………………………………...36 5.2 未來展望…………………………………………………..……………….38 參考文獻……………………………………………………………………………..39 附圖…………………………………………………………………………………..45
dc.language.isozh-TW
dc.subject斜方差結構zh_TW
dc.subject颱風zh_TW
dc.subject快速增強zh_TW
dc.subject資料同化zh_TW
dc.subject系集預報zh_TW
dc.subjecttropical cycloneen
dc.subjecterror covariance structureen
dc.subjectensemble forecasten
dc.subjectdata assimilationen
dc.subjectrapid intensificationen
dc.title颱風快速增強前的誤差斜方差結構變化zh_TW
dc.titleEvolution of the Error Covariance Structure Associated with Rapidly Intensifying Tropical Cyclonesen
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.oralexamcommittee楊舒芝(Hsin-Tsai Liu),連國淵(Chih-Yang Tseng)
dc.subject.keyword颱風,快速增強,資料同化,系集預報,斜方差結構,zh_TW
dc.subject.keywordtropical cyclone,rapid intensification,data assimilation,ensemble forecast,error covariance structure,en
dc.relation.page94
dc.identifier.doi10.6342/NTU202101792
dc.rights.note同意授權(全球公開)
dc.date.accepted2021-07-28
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept大氣科學研究所zh_TW
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