Application of correlation lidar data to modeling and prediction of wind components

被引:3
|
作者
Zuev, VE
Komarov, VS
Kreminskii, AV
机构
[1] Institute of Atmospheric Optics, 1 Akademicheskii av., Tomsk
来源
APPLIED OPTICS | 1997年 / 36卷 / 09期
关键词
three-path correlation lidar; wind; quality of measurements; reconstruction of profiles; ultrashort-range prediction;
D O I
10.1364/AO.36.001906
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Statistical estimation of the quality of lidar wind velocity measurements by the correlation method and the results of their application to the study of local and regional climates as well as to the reconstruction and ultrashort-range prediction (for forecasting periods less than or equal to 12 h) of mean zonal and meridional wind velocity components are presented. Wind velocity measurents with a three-path correlation lidar can be used successfully for climatic-ecological monitoring of local territories. (C) 1997 Optical Society of America.
引用
收藏
页码:1906 / 1914
页数:9
相关论文
共 50 条
  • [2] Application of correlation lidar data to modeling and prediction of wind components
    Institute of Atmospheric Optics, 1 Akademicheskii av., Tomsk 634055, Russia
    Appl. Opt., 9 (1906-1914):
  • [3] WIND-SHEAR PREDICTION WITH AIRPORT LIDAR DATA
    Li, Yuan-Xiang
    Hu, Qi
    Liu, Shi-Qian
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3704 - 3707
  • [4] Application of Doppler wind lidar observations to hurricane analysis and prediction
    Atlas, R.
    Zhang, J. A.
    Emmitt, G. D.
    Bucci, L.
    Ryan, K.
    LIDAR REMOTE SENSING FOR ENVIRONMENTAL MONITORING 2017, 2017, 10406
  • [5] Efficiency of lidar measurements of wind velocity by a correlation lidar
    Astafurov, V.G.
    Ignato, E.Yu.
    Matvienko, G.G.
    Atmospheric and Oceanic Optics(English Edition of the Journal Optika Atmosfery i Okeana), 1992, 5 (05):
  • [6] Application of lidar winds to data assimilation and numerical weather prediction
    Atlas, R
    LASER RADAR TECHNOLOGY AND APPLICATIONS IV, 1999, 3707 : 268 - 277
  • [7] Modeling of urban wind ventilation using high resolution airborne LiDAR data
    Peng, Fen
    Wong, Man Sing
    Wan, Yiliang
    Nichol, Janet E.
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2017, 64 : 81 - 90
  • [8] The Application of Observation Data Assimilating in wind Power Prediction
    Zhang Feimin
    Wang Chenghai
    2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI), 2012, : 137 - 139
  • [9] Wind Turbine SCADA Data Modeling and its Application
    Wu, Zi Han
    Lv, Yue Gang
    Qu, Yi
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 3629 - 3635
  • [10] Application of mathematical modeling methods in wind-power prediction
    Wang, Cong
    Yang, Jianbin
    Deng, Ying
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2015, 36 (05): : 1081 - 1087