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研究生: 蘇琦竣
Chi-Chun Su
論文名稱: 線狀中尺度對流系統三維風場反演之驗證與分析-2022 TAHOPE IOP3 個案
The verification and analysis of 3-D wind retrievals for a linear Mesoscale Convective System - 2022 TAHOPE IOP3
指導教授: 張偉裕
Wei-Yu Chang
口試委員:
學位類別: 碩士
Master
系所名稱: 地球科學學院 - 大氣科學學系
Department of Atmospheric Sciences
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 133
中文關鍵詞: 中尺度對流系統冷池
外文關鍵詞: RHI
相關次數: 點閱:36下載:0
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  • 台灣區域豪大雨觀測暨預報實驗(TAHOPE) IOP3期間,伴隨平行層狀降水(PS)特徵的梅雨鋒前中尺度對流系統(Mesoscale Convective System)於2022年6月6日通過台灣北部區域,為了探討此對流系統的動力型態變化特徵與周圍環境之交互作用關聯,本研究採用多都卜勒三維風場反演方法(Wind Synthesis System using Doppler Measurements, WISSDOM),結合多種觀測資料進行動力特徵分析。為了確立變分反演準確性,透過敏感度測試並結合移動式研究雷達(TEAM-R)之RHI(Range Height Indicator)掃描觀測,定量驗證分析對流區域內垂直風場。分析變分反演方法中的平滑項與徑向風三維風場關係式之約束條件,其權重參數與雷達數量對於反演之水平風場與垂直速度的敏感度及準確性。結果顯示過高的徑向風權重參數容易降低反演風場的準確性,以及低層若有更寬廣及愈多的雷達觀測覆蓋,可更準確反演對流區域內的對流特性及垂直風場結構。此驗證結果將應用於後續此個案之反演分析。
    根據反演風場與回波型態的演變,顯示MCS初期多個孤立胞位於主對流系統南側,當主對流接近北部近岸時,對流胞逐漸向北併入於主對流中並形成近岸增強的對流結構,此過程可歸因於鋒前低層地形噴流與對流降水形成之輻散氣流輻合,隨著時間演變,地形噴流的影響範圍與強度開始減弱。之後主系統轉變為西南至東北走向並在近岸形成後造型對流。隨著對流開始減弱,第二後造型對流開始在海上發展並經歷兩次對流增強過程,第一次增強源於對流合併過程,當系統向東移入至苗栗時,其降水引發的冷池之北風與環境西南風輻合形成第二次對流增強,此過程造成苗栗地區產生大於每小時90毫米的降雨強度。當系統向東北方移動並受到雪山山脈影響後,對流高度下降與回波減弱特徵顯示系統將逐漸消散。總結而言,經驗證之WISSDOM的合成風場可準確掌握對流系統的強度與風場演變,並有助於調查強降雨事件伴隨的動力特徵。期望未來可與模式預報的風場進行比較評估。


    A prefrontal linear Mesoscale Convective System (MCS) with Parallel Stratiform (PS) approached northwestern Taiwan on 06 June during TAHOPE2022. To investigate the kinematic characteristics of this convective system, the three-dimensional wind field was retrieved using the WInd Synthesis System using Doppler Measurement (WISSDOM). Range Height Indicator (RHI) observations were incorporated into the validation process to assess the performance and sensitivity of the retrieved wind field with respect to the weighting coefficients and the number of radars. The results reveal that excessively high radial wind weighting coefficient reduces the accuracy of retrieved wind field, while greater radar observation coverage at low levels leads to a more accurate depiction of convective characteristics and vertical velocity structures.
    From the synthetic wind field and the evolution of radar echoes, multiple cells appeared in the southern part of the main convective system during the early stage. These convective cells began to merge northward into the main system, forming a near-coastal intensification structure as the system approached northern Taiwan. This process can be attributed to the convergence between the prefrontal barrier inflow jet and the divergent flow generated by precipitation. Over time, the barrier jet gradually weakened in both intensity and spatial extent. Thereafter, the main system shifted to a southwestward orientation with a back-building convective structure near the coast, followed by a brief weakening of convection. Eventually, a second back-building system reorganized over the ocean and underwent two intensification processes: the first resulted from a merging process, while the second was associated with the convergence between the southwesterly environmental flow and the northerly wind produced by cold pool as the system moved inland, producing heavy rainfall exceeding 90 mm per hour over Miaoli. The decreasing convective level and reflectivity intensity suggest that the system will dissipate as it moves northeastward and becomes affected by the Snow Mountain Range. In conclusion, the verified synthesized wind field derived from WISSDOM can accurately capture the intensity evolution of the convective system and wind field, and is helpful for investigating the kinematic characteristics of the heavy rainfall event. It is hoped that the result can be compared with the model forecast.

    中文摘要 I Abstract II 誌謝 IV 目錄 VI 表目錄 IX 圖目錄 X 第一章、緒論 1 1.1 前言 1 1.2 中尺度對流系統 1 1.3 觀測實驗簡介 3 1.4 研究目標與架構 3 第二章、個案概觀與研究資料 5 2.1 個案概觀與累積降雨 5 2.2 雷達觀測資料品質管理與處理 5 2.2.1 五分山雷達(RCWF) 5 2.2.2 樹林降雨雷達(RCSL) 6 2.2.3 南屯降雨雷達(RCNT) 6 2.2.4 美國國家大氣研究中心S波段氣象雷達(S-Pol) 6 2.2.5 移動式X波段氣象雷達(TEAM-R) 6 2.3 綜觀天氣資料 7 2.4 垂直觀測資料(探空與剖風儀) 7 2.5 地面氣象觀測與回波資料 8 第三章、研究與校驗方法 9 3.1 多都卜勒三維風場反演(WISSDOM) 9 3.2 風場反演敏感度實驗設計 12 3.3 風場反演結果驗證方法 13 3.3.1 方均根誤差(RMSE) 16 3.3.2 相對方均根誤差(RRMSE) 16 3.3.3 空間相關係數(SCC) 16 3.3.4 平均絕對誤差(MAE) 17 3.4 動力特徵分析方法 17 3.4.1 系統移速和系統相對風速計算方法 17 3.4.2 對流–層狀降水區域分類 18 第四章、風場校驗結果 19 4.1 定性、定量校驗(0653 UTC) 19 4.1.1 權重參數敏感度測試 19 4.1.2 雷達數量敏感度測試 21 4.2 時序驗證(06~08 UTC) 22 4.3 敏感度測試結果總結與討論 23 第五章、分析與討論 24 5.1 綜觀環境配置與地面觀測 24 5.1.1 梅雨鋒面的演變 24 5.1.2 地形噴流的演變 25 5.1.3 探空觀測 26 5.2 系統演變時間序列分析 27 5.3 動力結構分析 28 5.3.1 第1時期 : 線狀對流發展期(0500 ~ 0830 UTC) 28 5.3.2 第2時期 : 第一後造型對流發展期(0830 ~ 0930 UTC) 30 5.3.3 第3時期 : 對流減弱期(0930 ~ 1100 UTC) 31 5.3.4 第4時期 : 第二後造型對流發展期(1100 ~ 1430 UTC) 31 5.4 對流區域內平均系統相對風速演變 33 第六章、結論與未來展望 35 6.1 結論 35 6.2 線狀對流個案研究比較 36 6.3 未來工作 37 參考文獻 39 附表 43 附圖 45

    Bluestein, H. B., and M. H. Jain, 1985: Formation of Mesoscale Lines of Pirecipitation: Severe Squall Lines in Oklahoma during the Spring. J. Atmos. Sci., 42, 1711–1732, https://doi.org/10.1175/1520-0469(1985)042<1711:FOMLOP>2.0.CO;2.
    Schumacher, R. S., and R. H. Johnson, 2005: Organization and Environmental Properties of Extreme-Rain-Producing Mesoscale Convective Systems. Mon. Wea. Rev., 133, 961–976, https://doi.org/10.1175/MWR2899.1.
    Bluestein, H. B., G. T. Marx, and M. H. Jain, 1987: Formation of Mesoscale Lines of Precipitation: Nonsevere Squall Lines in Oklahoma during the Spring. Mon. Wea. Rev., 115, 2719–2727, https://doi.org/10.1175/1520-0493(1987)115<2719:FOMLOP>2.0.CO;2.
    Keene, K. M., and R. S. Schumacher, 2013: The Bow and Arrow Mesoscale Convective Structure. Mon. Wea. Rev., 141, 1648–1672, https://doi.org/10.1175/MWR-D-12-00172.1.
    Lai, H., C. A. Davis, and B. Jong-Dao Jou, 2011: A Subtropical Oceanic Mesoscale Convective Vortex Observed during SoWMEX/TiMREX. Mon. Wea. Rev., 139, 2367–2385, https://doi.org/10.1175/2010MWR3411.1.
    Schumacher, R. S., and R. H. Johnson, 2008: Mesoscale Processes Contributing to Extreme Rainfall in a Midlatitude Warm-Season Flash Flood. Mon. Wea. Rev., 136, 3964–3986, https://doi.org/10.1175/2008MWR2471.1.
    Clark, P.A., Browning, K.A., Morcrette, C.J., Blyth, A.M., Forbes, R.M., Brooks, B. and Perry, F. (2014), The evolution of an MCS over southern England. Part 1: Observations. Q.J.R. Meteorol. Soc., 140: 439-457. https://doi.org/10.1002/qj.2138
    Parker, M. D., and R. H. Johnson, 2000: Organizational Modes of Midlatitude Mesoscale Convective Systems. Mon. Wea. Rev., 128, 3413–3436, https://doi.org/10.1175/1520-0493(2001)129<3413:OMOMMC>2.0.CO;2.
    Smull, B. F., and R. A. Houze, 1985: A Midlatitude Squall Line with a Trailing Region of Stratiform Rain: Radar and Satellite Observations. Mon. Wea. Rev., 113, 117–133, https://doi.org/10.1175/1520-0493(1985)113<0117:AMSLWA>2.0.CO;2.
    Johnson, R. H., and P. J. Hamilton, 1988: The Relationship of Surface Pressure Features to the Precipitation and Airflow Structure of an Intense Midlatitude Squall Line. Mon. Wea. Rev., 116, 1444–1473, https://doi.org/10.1175/1520-0493(1988)116<1444:TROSPF>2.0.CO;2.
    Rotunno, R., J. B. Klemp, and M. L. Weisman, 1988: A Theory for Strong, Long-Lived Squall Lines. J. Atmos. Sci., 45, 463–485, https://doi.org/10.1175/1520-0469(1988)045<0463:ATFSLL>2.0.CO;2.
    Weisman, M. L., and R. Rotunno, 2004: “A Theory for Strong Long-Lived Squall Lines” Revisited. J. Atmos. Sci., 61, 361–382, https://doi.org/10.1175/1520-0469(2004)061<0361:ATFSLS>2.0.CO;2.
    Bryan, G. H., and M. D. Parker, 2010: Observations of a Squall Line and Its Near Environment Using High-Frequency Rawinsonde Launches during VORTEX2. Mon. Wea. Rev., 138, 4076–4097, https://doi.org/10.1175/2010MWR3359.1.
    Wang, T. C., Y. Lin, H. Shen, and R. W. Pasken, 1990: Characteristics of a Subtropical Squall Line Determined from TAMEX Dual-Doppler Data. Part I: Kinematic Structure. J. Atmos. Sci., 47, 2357–2381, https://doi.org/10.1175/1520-0469(1990)047<2357:COASSL>2.0.CO;2.
    Xu, W., E. J. Zipser, Y. Chen, C. Liu, Y. Liou, W. Lee, and B. Jong-Dao Jou, 2012: An Orography-Associated Extreme Rainfall Event during TiMREX: Initiation, Storm Evolution, and Maintenance. Mon. Wea. Rev., 140, 2555–2574, https://doi.org/10.1175/MWR-D-11-00208.1.
    Chen, Y.-L.; Tu, C.-C.; Hsiao, F.; Chen, C.-S.; Lin, P.-L.; Lin, P.-H. An Overview of Low-Level Jets (LLJs) and Their Roles in Heavy Rainfall over the Taiwan Area during the Early Summer Rainy Season. Meteorology 2022, 1, 64-112. https://doi.org/10.3390/meteorology1010006.
    Meng, Z., D. Yan, and Y. Zhang, 2013: General Features of Squall Lines in East China. Mon. Wea. Rev., 141, 1629–1647, https://doi.org/10.1175/MWR-D-12-00208.1.
    Kim, H. W., and D. K. Lee, 2006: An Observational Study of Mesoscale Convective Systems with Heavy Rainfall over the Korean Peninsula. Wea. Forecasting, 21, 125–148, https://doi.org/10.1175/WAF912.1.
    Xue, C., X. Shen, Z. Ding, N. Wu, Y. Zhang, X. Chen, and C. Guo, 2022: Organizational Modes of Spring and Summer Convective Storms and Associated Severe Weather over Southern China during 2015–19. Mon. Wea. Rev., 150, 3031–3049, https://doi.org/10.1175/MWR-D-22-0061.1.
    Zhang, M., K. L. Rasmussen, Z. Meng, and Y. Huang, 2022: Impacts of Coastal Terrain on Warm-Sector Heavy-Rain-Producing MCSs in Southern China. Mon. Wea. Rev., 150, 603–624, https://doi.org/10.1175/MWR-D-21-0190.1.
    Chen, G. T. J., and H. C. Chou, 1993: General Characteristics of Squall Lines Observed in TAMEX. Mon. Wea. Rev., 121, 726–733, https://doi.org/10.1175/1520-0493(1993)121<0726:GCOSLO>2.0.CO;2.
    Li, J., and Y. Chen, 1998: Barrier Jets during TAMEX. Mon. Wea. Rev., 126, 959–971, https://doi.org/10.1175/1520-0493(1998)126<0959:BJDT>2.0.CO;2.
    Yeh, H., and Y. Chen, 2003: Numerical Simulations of the Barrier Jet over Northwestern Taiwan during the Mei-Yu Season. Mon. Wea. Rev., 131, 1396–1407, https://doi.org/10.1175/1520-0493(2003)131<1396:NSOTBJ>2.0.CO;2.
    Ke, C.-Y., Chung, K.-S., Wang, T.-C. C., & Liou, Y.-C. (2019). Analysis of heavy rainfall and barrier-jet evolution during Mei-Yu season using multiple Doppler radar retrievals: a case study on 11 June 2012. Tellus A: Dynamic Meteorology and Oceanography, 71(1), 1571369. https://doi.org/10.1080/16000870.2019.1571369.
    Wang, C.-C., Chiou, B.-K., Chen, G. T.-J., Kuo, H.-C., and Liu, C.-H.: A numerical study of back-building process in a quasistationary rainband with extreme rainfall over northern Taiwan during 11–12 June 2012, Atmos. Chem. Phys., 16, 12359–12382, https://doi.org/10.5194/acp-16-12359-2016, 2016.
    Yang, S., S. Chen, L. J. Liu, H. Yeh, W. Chang, K. Chung, P. Chang, and W. Lee, 2024: Investigating the Mechanisms of an Intense Coastal Rainfall Event during TAHOPE/PRECIP-IOP3 Using a Multiscale Radar Ensemble Data Assimilation System. Mon. Wea. Rev., 152, 2545–2567, https://doi.org/10.1175/MWR-D-24-0049.1.
    L.J. Miller, R.G. Strauch, A dual doppler radar method for the determination of wind velocities within precipitating weather systems, Remote Sensing of Environment, Volume 3, Issue 4, 1974, Pages 219-235, ISSN 0034-4257, https://doi.org/10.1016/0034-4257(74)90044-3.
    Gao, J., M. Xue, A. Shapiro, Q. Xu, and K. K. Droegemeier, 2001: Three-Dimensional Simple Adjoint Velocity Retrievals from Single-Doppler Radar. J. Atmos. Oceanic Technol., 18, 26–38, https://doi.org/10.1175/1520-0426(2001)018<0026:TDSAVR>2.0.CO;2.
    Liou, Y., and Y. Chang, 2009: A Variational Multiple–Doppler Radar Three-Dimensional Wind Synthesis Method and Its Impacts on Thermodynamic Retrieval. Mon. Wea. Rev., 137, 3992–4010, https://doi.org/10.1175/2009MWR2980.1.
    Liou, Y., S. Chang, and J. Sun, 2012: An Application of the Immersed Boundary Method for Recovering the Three-Dimensional Wind Fields over Complex Terrain Using Multiple-Doppler Radar Data. Mon. Wea. Rev., 140, 1603–1619, https://doi.org/10.1175/MWR-D-11-00151.1.
    Y.-C., L. Chiou, W. H. Chen, H. Y. Yu, 2014: Improving the model convective storm quantitative precipitation nowcasting by assimilating state variables retrieved from multiple retrieved from multiple-Doppler radar observations. Mon. Wea. Rev., 142, 4017––4035.
    Lin, Y., R. D. Farley, and H. D. Orville, 1983: Bulk Parameterization of the Snow Field in a Cloud Model. J. Appl. Meteor. Climatol., 22, 1065–1092, https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.
    Tseng, Y., and J. Ferziger, 2003: A ghost-cell immersed boundary method for flow in complex geometry. J. Comput. Phys., 192, 593–623
    蘇俊偉,2016:利用觀測資料與多都卜勒風場反演系統做垂直速度上的驗證。國立中央大學大氣物理研究所碩士論文,1-74。
    陳奕安,2019:多都卜勒氣象雷達反演之垂直速度的剖風儀驗證及高解析度三維風場反演能力的測試。國立中央大學大氣物理研究所碩士論文,1-109。
    Tsai, C. L., Kim, K., Liou, Y. C., & Lee, G. (2023). High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations. Atmospheric Measurement Techniques, 16(3), 845-869.
    Steiner, M., R. A. Houze , and S. E. Yuter, 1995: Climatological Characterization of Three-Dimensional Storm Structure from Operational Radar and Rain Gauge Data. J. Appl. Meteor. Climatol., 34, 1978–2007,
    Ke, C., P. Tsai, K. Chung, Y. Chen, and Y. Liou, 2025: Radar Wind Retrieval, Ensemble Simulations, and Cluster Analysis of a Heavy Rainfall Event over Northern Taiwan during 1–2 June 2017. Mon. Wea. Rev., 153, 617–635, https://doi.org/10.1175/MWR-D-24-0142.1

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