首页> 外文会议>Joint international symposium on atmospheric and ocean optics/atmospheric physics >Effect of turbulence on accuracy of wind retrieval from Doppler lidar data by spectra accumulation method
【24h】

Effect of turbulence on accuracy of wind retrieval from Doppler lidar data by spectra accumulation method

机译:湍流对谱累积法从多普勒激光雷达数据中的风检热精度的影响

获取原文

摘要

In we describe new method, which we referred to as the spectra accumulation method (SAM), for reconstruction of wind velocity and direction from measurement data of a scanning coherent Doppler lidar. The method does not require pre-estimation of the radial wind velocity. Numerical simulation based on virtual Doppler lidar instrument shows that in absence of turbulence SAM allows reconstruction of the wind velocity and direction from satellite lidar measurements with sufficiently high accuracy. In this paper we study the accuracy of wind retrieval from lidar data by SAM when turbulent fluctuations of wind velocity are present. Simulation of wind retrieval from space borne scanning Doppler lidar data we carry out based on the real data of German Weather Service (GWS). For simulation of small scale turbulent fluctuations of the radial wind velocity we use GWS height profiles of zonal and meridional components of mean wind, temperature and turbulent diffusion coefficients of momentum and heat. The error of retrieval of wind velocity and direction from lidar data is calculated in dependence on turbulent velocity fluctuations variance for different heights (signal to noise ratios). This study was supported by the Russian Foundation for Basic Research (Grant №00-05-64033).
机译:在我们描述新方法中,我们称为光谱累积方法(SAM),用于从扫描相干多普勒LIDAR的测量数据重建风速和方向。该方法不需要预估计径向风速。基于虚拟多普勒LIDAR仪器的数值模拟表明,在没有湍流SAM的情况下,允许以足够高的精度从卫星激光雷达测量重建风速和方向。本文在存在风速的湍流波动时,我们研究了SAM通过SAM从LIDAR数据中检索的准确性。仿真从太空扫描多普勒LIDAR数据中的防风扫描多普勒LIDAR数据,我们基于德国天气服务(GWS)的真实数据进行。对于径向风速的小规模湍流的模拟,我们使用的GWS高度分布的Zonal和子午线的平均和湍流扩散系数的动量和热量。根据不同高度的湍流速度波动方差(信号与噪声比率)来计算来自LIDAR数据的风速和方向的检索误差。本研究得到了俄罗斯基础研究基础(Grant№00-05-64033)的支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号