LIDAR UNCERTAINTY MEASUREMENT EXPERIMENT (LUMEX) - UNDERSTANDING SAMPLING ERRORS

被引:0
|
作者
Choukulkar, A. [1 ]
Brewer, W. A. [2 ]
Banta, R. M. [2 ]
Hardesty, M. [1 ]
Pichugina, Y. [1 ]
Senff, Christoph [1 ]
Sandberg, S. [2 ]
Weickmann, A. [1 ]
Carroll, B. [3 ]
Delgado, R. [3 ]
Muschinski, A. [4 ]
机构
[1] Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[2] NOAA, Div Chem Sci, Boulder, CO USA
[3] Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA
[4] North West Res Associates, Boulder, CO USA
关键词
D O I
10.1051/epjconf/201611910004
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Coherent Doppler LIDAR (Light Detection and Ranging) has been widely used to provide measurements of several boundary layer parameters such as profiles of wind speed, wind direction, vertical velocity statistics, mixing layer heights and turbulent kinetic energy (TKE). An important aspect of providing this wide range of meteorological data is to properly characterize the uncertainty associated with these measurements. With the above intent in mind, the Lidar Uncertainty Measurement Experiment (LUMEX) was conducted at Erie, Colorado during the period June 23rd to July 13th, 2014. The major goals of this experiment were the following: 1. Characterize sampling error for vertical velocity statistics 2. Analyze sensitivities of different Doppler lidar systems 3. Compare various single and dual Doppler retrieval techniques 4. Characterize error of spatial representativeness for separation distances up to 3 km 5. Validate turbulence analysis techniques and retrievals from Doppler lidars This experiment brought together 5 Doppler lidars, both commercial and research grade, for a period of three weeks for a comprehensive inter-comparison study. The Doppler lidars were deployed at the Boulder Atmospheric Observatory (BAO) site in Erie, site of a 300 m meteorological tower. This tower was instrumented with six sonic anemometers at levels from 50 m to 300 m with 50 m vertical spacing. A brief overview of the experiment outline and deployment will be presented. Results from the sampling error analysis and its implications on scanning strategy will be discussed.
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