ZHENG Chongwei, PAN Jing, TAN Yanke, GAO Zhansheng, RUI Zhenfeng, CHEN Chaohui. The seasonal variations in the significant wave height and sea surface wind speed of the China's seas[J]. Acta Oceanologica Sinica, 2015, 34(9): 58-64. doi: 10.1007/s13131-015-0738-0
Citation: Fong Soi Kun, Wu Chisheng, Hao I Pan, Lam Kin Hang, Ku Chi Meng, Wang Anyu, Lin Wenshi. Numerical prediction experiment on Typhoon Maggie (9903)[J]. Acta Oceanologica Sinica, 2001, (2): 171-181.

Numerical prediction experiment on Typhoon Maggie (9903)

  • Received Date: 2000-12-20
  • Rev Recd Date: 2001-02-08
  • The movement of Typhoon Maggie (9903) in June 1999 is one of the rare cases ever seen in the history.At 00U on June 6 Maggie was located at about 70 km to the southwest of Taiwan.When it arrived at the coastal region of Shanwei City (22.8°N,116.5°E),it turned suddenly to move south westward along the southern China coastal line.On June 7 Maggie finally turned to move northward,making landfall to the north of Shangchuan Island.The experimental numerical prediction system on typhoon movement that was designed based on MM5 is proved quite successful for the 48h prediction of Maggie's movement and rainfall.The mean prediction error of typhoon track is 81 km for 0~24 h and 74 km for 24~48 h.
    The location of typhoon center in the initial field of the model is approximately 100 km away from the actual observations.In order to modify the location of typhoon center,a bogus typhoon was introduced into the model and the prediction of typhoon track was improved in 0~24 h time interval.But the prediction error was enlarged in 24~36 h.
    We also performed a sensitivity experiment of changing the land of southern China into the ocean.It is found that the orientation of South China coastal line and the topography have no obvious effect on the movement of Typhoon Maggie.
  • Relative Articles

  • Cited by

    Periodical cited type(10)

    1. M F Islami, Jasruddin, E H Sujiono. The Utilization of Seasonal Variation of Ocean Wave Characteristics Identification in Monitoring the Chlorophyll-a Distribution in South Sulawesi. IOP Conference Series: Earth and Environmental Science, 2023, 1251(1): 012027. doi:10.1088/1755-1315/1251/1/012027
    2. Bahareh Kamranzad, Khalid Amarouche, Adem Akpinar. Linking the long-term variability in global wave energy to swell climate and redefining suitable coasts for energy exploitation. Scientific Reports, 2022, 12(1) doi:10.1038/s41598-022-18935-w
    3. Yuhan Cao, Changming Dong, Ian R. Young, et al. Global Wave Height Slowdown Trend during a Recent Global Warming Slowdown. Remote Sensing, 2021, 13(20): 4096. doi:10.3390/rs13204096
    4. Yuru Li, Shuyang Ma, Caihong Fu, et al. Appraising the Status of Fish Community Structure in the Yellow Sea Based on an Indicator-Testing Framework. Frontiers in Marine Science, 2021, 8 doi:10.3389/fmars.2021.646733
    5. Shuyang Ma, Yang Liu, Jianchao Li, et al. Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea. Progress in Oceanography, 2019, 175: 183. doi:10.1016/j.pocean.2019.04.008
    6. Zhuxiao Shao, Bingchen Liang, Huajun Li, et al. Extreme significant wave height of tropical cyclone waves in the South China Sea. Natural Hazards and Earth System Sciences, 2019, 19(10): 2067. doi:10.5194/nhess-19-2067-2019
    7. Yanda Ou, Fangguo Zhai, Peiliang Li. Interannual wave climate variability in the Taiwan Strait and its relationship to ENSO events. Journal of Oceanology and Limnology, 2018, 36(6): 2110. doi:10.1007/s00343-019-7301-3
    8. Bijoy Thompson, Pavel Tkalich, Paola Malanotte-Rizzoli. Regime shift of the South China Sea SST in the late 1990s. Climate Dynamics, 2017, 48(5-6): 1873. doi:10.1007/s00382-016-3178-4
    9. Chongwei Zheng, Chongyin Li, Hailang Wu, et al. 21st Century Maritime Silk Road: Construction of Remote Islands and Reefs. Springer Oceanography, doi:10.1007/978-981-10-8114-9_4
    10. Tiago C.A. Oliveira, Pavel Tkalich, Bien Aik Tan, et al. High-resolution wind-wave model for the Sea Surface Wave Height forecasting and hindcasting. Global Oceans 2020: Singapore – U.S. Gulf Coast, doi:10.1109/IEEECONF38699.2020.9389087

    Other cited types(0)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-040510152025
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 31.5 %FULLTEXT: 31.5 %META: 68.5 %META: 68.5 %FULLTEXTMETA

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (602) PDF downloads(146) Cited by(10)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return