留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

南海北部海面风速概率分布特征

廖菲,  邓华,  曾琳,  Chan Pak-wai

文章导航 > 海洋学报  > 2018 >  40(5): 37-47
廖菲, 邓华, 曾琳, Chan Pak-wai. 南海北部海面风速概率分布特征[J]. 海洋学报, 2018, 40(5): 37-47. doi: 10.3969/j.issn.0253-4193.2018.05.004
引用本文: 廖菲, 邓华, 曾琳, Chan Pak-wai. 南海北部海面风速概率分布特征[J]. 海洋学报, 2018, 40(5): 37-47. doi: 10.3969/j.issn.0253-4193.2018.05.004
shu
Liao Fei, Deng Hua, Zeng Lin, Chan Pak-wai. The probability distribution of sea surface wind speeds over the northern South China Sea[J]. Haiyang Xuebao, 2018, 40(5): 37-47. doi: 10.3969/j.issn.0253-4193.2018.05.004
Citation: Liao Fei, Deng Hua, Zeng Lin, Chan Pak-wai. The probability distribution of sea surface wind speeds over the northern South China Sea[J]. Haiyang Xuebao, 2018, 40(5): 37-47. doi: 10.3969/j.issn.0253-4193.2018.05.004
shu

南海北部海面风速概率分布特征

doi: 10.3969/j.issn.0253-4193.2018.05.004
  • 1.

    广州市气象台, 广东 广州 511430;中国气象局广州热带海洋气象研究所, 广东 广州 510080

  • 2.

    广东省生态气象中心, 广东 广州 510080;中国气象局广州热带海洋气象研究所, 广东 广州 510080

  • 3.

    广州市气象台, 广东 广州 511430

  • 4.

    香港天文台, 香港 999077

基金项目: 广东省科技计划项目（2013B020200013，2016A020223015）；广州市科技计划项目（201604020069，201607020043）。

The probability distribution of sea surface wind speeds over the northern South China Sea

  • 1.

    Guangzhou Meteorological Observatory, Guangzhou 511430, China;Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China

  • 2.

    Guangdong Ecological Meteorology Center, Guangzhou 510080, China;Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China

  • 3.

    Guangzhou Meteorological Observatory, Guangzhou 511430, China

  • 4.

    Hong Kong Observatory, Hong Kong 999077, China

    摘要
  • 摘要: 利用南海北部的浮标、石油平台观测的海面风资料，分析了0~200 km范围内，不同离岸距离站点的风速的概率分布特征。观测结果指出，各站平均风速一般最大值出现在冬季，最小值出现在夏季，具有明显的季节变化特征，并且平均风速随着离岸距离的增大也逐渐增大。对于离岸距离较近的区域（100 km以内），海面风基本符合双参数的Weibull分布，但对于100 km以外的海面风速概率分布与Weibull分布存在明显差异，随着离岸距离的增大，平均风速和风速标准偏差也相应增大。风速平均值与风速标准偏差的比值较小时，Weibull分布的偏斜度基本为正值，当比值较大时偏斜度转为负值。随着离岸距离的增大，出现与Weibull分布不一致的情况越来越多，且与对应的Weibull分布相比，其偏斜度越小，风速概率分布越不能用Weibull分布进行较好拟合。
    Abstract: The probability distribution characteristics of wind speed in the northern part of the South China Sea are analyzed based on buoy and oil platform sites within 0-200 km different offshore distance. Observation results indicate that the maximum average wind speed is strongest in the winter season and weakest in the summer, and the average wind speed rise gradually with the increase of the offshore distance. A two parameters Weibull distribution structure is modeled well in the observed sea surface wind speed from stations within the offshore distance area (<100 km), but the feature of sea surface wind speed of the stations outside of 100 km can not account for the Weibull structure, and the average wind speed and wind speed standard deviation arise with the increase of distance from the shore. The skewness of the wind speed is a concave downward function of the ratio of the mean wind speed to its standard deviation, such that the skewness is positive where the ratio is relatively small. The observed skewness of offshore distance stations are obviously smaller than corresponding Weibull skewness, which indicate that non-Weibull structure behavior is evident in these stations.
    • HTML全文
    • 参考文献(30)
  • Donelan M, W Drennan, E Saltzman, et al. Gas Transfer at Water Surfaces[M]. American Geophysical Union,2002:383.
    郑崇伟, 李崇银. 中国南海岛礁建设:风力发电、海浪发电[J]. 中国海洋大学学报,2015,45(9):7-14. Zheng Chongwei, Li Chongyin. Development of the islands and reefs in the South China Sea:Wind power and wave power generation[J]. Periodical of Ocean University of China, 2015,45(9):7-14.
    郑崇伟, 李崇银, 杨艳, 等. 巴基斯坦瓜达尔港的风能资源评估[J].厦门大学学报:自然科学版,2016,55(2):210-215. Zheng Chongwei, Li Chongyin, Yang Yan, et al. Analysis of wind energy resource in the Pakistan's Gwadar port[J]. Journal of Xiamen University:Natural Science,2016,55(2):210-215.
    陈练,李栋梁,吴洪宝.中国风速概率分布及在风能评估中的应用[J].太阳能学报,2010,31(9):1209-1214. Chen Lian, Li Dongliang, Wu Hongbao. The probability distribution of wind speed and its application in estimation of wind energy in China[J]. Acta Energlae Solaris Sinica, 2010,31(9):1209-1214.
    唐岚,束洪春,于继来.风能资源估算中的不确定性分析[J].太阳能学报,2011,32(10):1560-1565. Tang Lan, Shu Hongchun, Yu Jilai. Uncertainty analysis of wind energy resource estimaition[J]. Acta Energlae Solaris Sinica,2011,32(10):1560-1565.
    Meissner T, Smith D, Wentz F. A 10 year intercomparison between collocated Special Sensor Microwave Imager oceanic surface wind speed retrievals and global analyses[J]. Journal of Geophysical Research, 2001,106:11731-11742.
    高瑞华,王式功,张孝峰,等.渤海海峡大风的气候特征分析[J].海洋预报,2008,25(3):7-15. Gao Ruihua, Wang Shigong, Zhang Xiaofeng, et al. An analysis of the climatic characteristics of the gale in Bohai Straits[J]. Marine Forecasts, 2008,25(3):7-15.
    梁军,张胜军,刘晓初,等.辽东半岛和山东半岛地形对黄、渤海大风影响的数值模拟试验[J].热带气象学报, 2015,31(3):374-384. Liang Jun, Zhang Shengjun, Liu Xiaochu, et al. Numerical simulation of high wind events over the yellow sea and the bohai sea considering topographic effects of liaodong peninsula and shandong peninsula[J]. Journal of Tropical Meteorology, 2015,31(3):374-384.
    Pavia E G, O'Brien J J. Weibull statistics of wind speed over the ocean[J]. Journal of Applied Meteorology and Climatology,1986,25:1324-1332.
    Bauer E. Characteristic frequency distributions of remotely sensed in situ and modelled wind speeds[J]. International Journal of Climatology, 1996,16:1087-1102.
    Monahan A H. The probability distribution of sea surface wind speeds. Part Ⅰ:theory and seawinds observations[J]. Journal of Climate, 2006,19:497-520.
    Thompson K, Marsden R, Wright D. Estimation of low-frequency wind stress fluctuations over the open ocean[J]. Journal of Physical Oceanography, 1983,13:1003-1011.
    Wanninkhof R, McGillis W R. A cubic relationship between air-sea CO2 exchange and wind speed[J]. Geophysical Research Letters, 1999, 26:1889-1892.
    陈俊文,蔡扬,白毅平,等.南海冬季一次海面大风天气的WRF模式预报检验[J].海洋预报, 2014,31(4):32-40. Chen Junwen, Cai Yang, Bai Yiping, et al. Simulation of one gale case in winter in the South China Sea[J]. Marine Forecasts, 2014,31(4):32-40.
    旷芳芳,张友权,张俊鹏,等.3种海面风场资料在台湾海峡的比较和评估[J].海洋学报, 2015,37(5):44-53. Kuang Fangfang, Zhang Youquan, Zhang Junpeng, et al. Comparison and evaluation of three sea surface wind products in Taiwan strait[J]. Haiyang Xuebao, 2015,37(5):44-53.
    Monahan A H. The probability distribution of sea surface wind speeds. Part Ⅱ:dataset intercomparison and seasonal variability[J]. Journal of Climate, 2006,19:521-534.
    Kelly K A, Dickinson S, Johnson G C. Comparisons of scatterometer and TAO winds reveal time-varying surface currents for the tropical Pacific Ocean[J]. Journal of Atmospheric and Oceanic Technology,2005,22:735-745.
    薄文波,高山红,王永明.基于WRF模式的渤海海面风的预报与订正[J].海洋湖沼通报, 2013(3):37-44. Bo Wenbo, Gao Shanhong, Wang Yongming. Forecast and correction of the Bohai Sea surface wind based on WRF model[J]. Transactions of Oceanology and Limnology, 2013(3):37-44.
    Erickson D J, Taylor J A. Non-Weibull behavior observed in a model-generated global surface wind field frequency distribution[J]. Journal of Geophysical Research,1989,94:12693-12698.
    刁学贤.青岛海滨和近海各季海面风的基本特征[J].海洋预报, 1998,15(1):51-58. Diao Xuexian. Basic seasonal characteristics of sea surface wind along coast of Qingdao[J]. Marine Forecasts,1998,15(1):51-58.
    周兆黎,李淑君,梁广建.南沙永暑礁近海面风的特征分析[J].广东气象,2012,34(4):14-17. Zhou Zhaoli, Li Shujun, Liang Guangjian. Characteristic analysis of near surface wind around fiery cross reef of Nansha islands[J]. Guangdong Meteorology,2012,34(4):14-17.
    何斌,潘士雄,李海军,等.浙北沿岸海域海面风场反演方法的研究[J].气象,2016,42(7):875-884. He Bin, Pan Shixiong, Li Haijun, et al. Research of the method for retrieving winds on sea surface along coast of north Zhejiang[J]. Meteorological Monthly,2016,42(7):875-884.
    王静,苗峻峰,冯文.海南岛沿海近地面风时空分布特征的观测分析[J].南京信息工程大学学报:自然科学版, 2016,8(3):226-238. Wang Jing, Miao Junfeng, Feng Wen. An observational analysis of spatial and temporal characteristics of near-surface wind over the coastal area of the Hainan Island[J]. Journal of Nanjing University of Information Science and Technology:Natural Science Edition, 2016,8(3):226-238.
    潘小乐,王自发,王喜全,等.秋季在北京城郊草地下垫面上的一次臭氧干沉降观测试验[J].大气科学, 2010,34(1):120-130. Pan Xiaole, Wang Zifa, Wang Xiquan, et al. An observation study of ozone dry deposition over grassland in the suburban area of Beijing[J]. Chinese Journal of Atmospheric Sciences, 2010,34 (1):120 -130.
    杜德文,孟宪伟,石学法,等.CC西区多金属资源评价的协同区域化理论和方法[J].海洋学报,2005,27(2):98-105. Du Dewen, Meng Xianwei, Shi Xuefa, et al. Co-Kriging model of manganese nucleus mineral resource evoluation in the CC region of the Pacific Ocean[J]. Haiyang Xuebao, 2005,27(2):98-105.
    Monahan A H. Empirical models of the probability distribution of sea surface wind speeds[J]. Journal of Climate, 2007,20:5798-5814.
    Pang W K, Forster J J, Troutt M D. Estimation of wind speed distribution using Markov chain Monte Carlo techniques[J]. Journal of Applied Meteorology and Climatology,2001, 40:1476-1484.
    He Y, Monahan A H, Jones C G, et al. Probability distributions of land surface wind speeds over North America[J]. Journal of Geophysical Research,2010,115:D04103.
    Landberg L, Myllerup L, Rathmann O, et al. Wind resource estimation-An overview[J]. Wind Energy, 2003(6):261-271.
    Monahan A H, He Y, Mcfarlane N, et al. The probability distribution of land surface wind speeds[J]. Journal of Climate, 2011, 24:3892-3909.
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
计量
  • 文章访问数:  539
  • HTML全文浏览量:  8
  • PDF下载量:  404
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-06-07
  • 修回日期:  2017-10-11

目录

    /

    返回文章
    返回

    京ICP备12043220号-9

    主管：中国科学技术协会 主办：中国海洋学会 出版：海洋出版社

    邮编：100161 电话：010-62100966/010-62179976 地址：北京市丰台区马官营家园3号楼433

    本系统由北京仁和汇智信息技术有限公司开发 技术支持：info@rhhz.net   百度统计