A Method for Estimating the Turbulent Kinetic Energy Dissipation Rate from a Vertically Pointing Doppler Lidar, and Independent Evaluation from Balloon-Borne In Situ Measurements

激光雷达 多普勒效应 消散 风速计 湍流动能 边界层 遥感 声学多普勒流速剖面仪 湍流 环境科学 噪音(视频) 反向散射(电子邮件) 物理 大地测量学 气象学 地质学 机械 计算机科学 电信 热力学 图像(数学) 人工智能 无线 天文
作者
Ewan James O'Connor,Anthony J. Illingworth,Ian Morley Brooks,C. D. Westbrook,Robin James Hogan,Fay Davies,Barbara Brooks
出处
期刊:Journal of Atmospheric and Oceanic Technology [American Meteorological Society]
卷期号:27 (10): 1652-1664 被引量:261
标识
DOI:10.1175/2010jtecha1455.1
摘要

Abstract A method of estimating dissipation rates from a vertically pointing Doppler lidar with high temporal and spatial resolution has been evaluated by comparison with independent measurements derived from a balloon-borne sonic anemometer. This method utilizes the variance of the mean Doppler velocity from a number of sequential samples and requires an estimate of the horizontal wind speed. The noise contribution to the variance can be estimated from the observed signal-to-noise ratio and removed where appropriate. The relative size of the noise variance to the observed variance provides a measure of the confidence in the retrieval. Comparison with in situ dissipation rates derived from the balloon-borne sonic anemometer reveal that this particular Doppler lidar is capable of retrieving dissipation rates over a range of at least three orders of magnitude. This method is most suitable for retrieval of dissipation rates within the convective well-mixed boundary layer where the scales of motion that the Doppler lidar probes remain well within the inertial subrange. Caution must be applied when estimating dissipation rates in more quiescent conditions. For the particular Doppler lidar described here, the selection of suitably short integration times will permit this method to be applicable in such situations but at the expense of accuracy in the Doppler velocity estimates. The two case studies presented here suggest that, with profiles every 4 s, reliable estimates of ε can be derived to within at least an order of magnitude throughout almost all of the lowest 2 km and, in the convective boundary layer, to within 50%. Increasing the integration time for individual profiles to 30 s can improve the accuracy substantially but potentially confines retrievals to within the convective boundary layer. Therefore, optimization of certain instrument parameters may be required for specific implementations.
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