EPJ Web of Conferences
Volume 119, 2016The 27th International Laser Radar Conference (ILRC 27)
|Number of page(s)||4|
|Section||Lidar Applications to Winds and Turbulence|
|Published online||07 June 2016|
Lidar Uncertainty Measurement Experiment (LUMEX) – Understanding Sampling Errors
1 Cooperative Institute for Research in Environmental Sciences, Boulder
2 Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder
3 University of Maryland Baltimore County, Baltimore County
4 North-West Research Associates, Boulder
Published online: 7 June 2016
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:
Characterize sampling error for vertical velocity statistics
Analyze sensitivities of different Doppler lidar systems
Compare various single and dual Doppler retrieval techniques
Characterize error of spatial representativeness for separation distances up to 3 km
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 intercomparison 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.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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