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Volume 28 Issue 6

Nov.  2011

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2011 >  28(6): 1471-1480

The Application of Sea-Surface Wind Detection with Doppler Lidar in Olympic Sailing

  • 1.

    State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,Ocean University of China, Qingdao 266100,Shandong Meteorological Administration, Jinan 250031,Chongqing Meteorological Administration, Chongqing 401147


doi: 10.1007/s00376-011-9189-5

  • The mobile incoherent Doppler lidar (MIDL), which was jointly developed by State Key Laboratory of Severe Weather (LaSW) of the Chinese Academy of Meteorological Sciences (CAMS) and Ocean University of China, provided meteorological services during the Olympic sailing events in Qingdao in 2008. In this study, two experiments were performed based on these measurements. First, the capabilities of MIDL detection of sea-surface winds were investigated by comparing its radial velocities with those from a sea buoy. MIDL radial velocity was almost consistent with sea-buoy data; both reflected the changes in wind with time. However, the MIDL data was 0.5 m s-1 lower on average than the sea-buoy data due to differences in detection principle, sample volume, sample interval, spatial and temporal resolution. Second, the wind fields during the Olympic sailing events were calculated using a four-dimensional variation data assimilation (4DVAR) algorithm and were evaluated by comparing them with data from a sea buoy. The results show that the calculations made with the 4DVAR wind retrieval method are able to simulate the fine retrieval of sea-surface wind data---the retrieved wind fields were consistent with those of sea-buoy data. Overall, the correlation coefficient of wind direction was 0.93, and the correlation coefficient of wind speed was 0.70. The distribution of retrieval wind fields was consistent with that of MIDL radial velocity; the root-mean-square error between them had an average of only 1.52 m s-1.
  • [1] Lu WANG, Wei QIANG, Haiyun XIA, Tianwen WEI, Jinlong YUAN, Pu JIANG, 2021: Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1920-1928.  doi: 10.1007/s00376-021-1068-0
    [2] Zexu Luo, Xiaoquan Song, Jiaping Yin, Zhichao Bu, Yubao Chen, Yongtao Yu, Zhenlu Zhang, 2024: Comparison and Verification of Coherent Doppler Wind Lidar and Radiosonde in Beijing Urban Area, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3240-9
    [3] ZHAO Kun, LIU Guoqing, GE Wenzhong, DANG Renqing, Takao TAKEDA, 2003: Retrieval of Single-Doppler Radar Wind Field by Nonlinear Approximation, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 195-204.  doi: 10.1007/s00376-003-0004-9
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    [7] SHUN Liu, QIU Chongjian, XU Qin, ZHANG Pengfei, GAO Jidong, SHAO Aimei, 2005: An Improved Method for Doppler Wind and Thermodynamic Retrievals, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 90-102.  doi: 10.1007/BF02930872
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    [9] CHU Kekuan, TAN Zhemin, Ming XUE, 2007: Impact of 4DVAR Assimilation of Rainfall Data on the Simulation of Mesoscale Precipitation Systems in a Mei-yu Heavy Rainfall Event, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 281-300.  doi: 10.1007/s00376-007-0281-9
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    [11] Ting ZHANG, Jinbao SONG, 2018: Effects of Sea-Surface Waves and Ocean Spray on Air-Sea Momentum Fluxes, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 469-478.  doi: 10.1007/s00376-017-7101-7
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    • Manuscript History

    Manuscript received: 10 November 2011
    Manuscript revised: 10 November 2011
    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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    The Application of Sea-Surface Wind Detection with Doppler Lidar in Olympic Sailing

    • 1. State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,Ocean University of China, Qingdao 266100,Shandong Meteorological Administration, Jinan 250031,Chongqing Meteorological Administration, Chongqing 401147
    • Manuscript received: 2011-11-10
    • Manuscript revised: 2011-11-10

    Abstract: The mobile incoherent Doppler lidar (MIDL), which was jointly developed by State Key Laboratory of Severe Weather (LaSW) of the Chinese Academy of Meteorological Sciences (CAMS) and Ocean University of China, provided meteorological services during the Olympic sailing events in Qingdao in 2008. In this study, two experiments were performed based on these measurements. First, the capabilities of MIDL detection of sea-surface winds were investigated by comparing its radial velocities with those from a sea buoy. MIDL radial velocity was almost consistent with sea-buoy data; both reflected the changes in wind with time. However, the MIDL data was 0.5 m s-1 lower on average than the sea-buoy data due to differences in detection principle, sample volume, sample interval, spatial and temporal resolution. Second, the wind fields during the Olympic sailing events were calculated using a four-dimensional variation data assimilation (4DVAR) algorithm and were evaluated by comparing them with data from a sea buoy. The results show that the calculations made with the 4DVAR wind retrieval method are able to simulate the fine retrieval of sea-surface wind data---the retrieved wind fields were consistent with those of sea-buoy data. Overall, the correlation coefficient of wind direction was 0.93, and the correlation coefficient of wind speed was 0.70. The distribution of retrieval wind fields was consistent with that of MIDL radial velocity; the root-mean-square error between them had an average of only 1.52 m s-1.

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