Statistics
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufm.a44a..01f&link_type=abstract
American Geophysical Union, Fall Meeting 2008, abstract #A44A-01
Statistics
3360 Remote Sensing, 3379 Turbulence (4490), 3394 Instruments And Techniques
Scientific paper
Accurate measurements and modeling of the boundary layer is challenging, especially for the stable night time boundary layer, the highly turbulent boundary layer, and the early morning transition to convection. High quality profiles of mean and turbulent statistics of the night time boundary layer are logistically difficult using instrumented towers or instrumented research aircraft. One of the fundamental limits to the accuracy of atmospheric estimates of mean and turbulent quantities is the number of independent samples of the relevant processes. Traditional measurements from towers, sodars, radar profilers, and instrumented aircraft essentially produce a spatial sample of the atmosphere along a line defined by the mean wind (or aircraft trajectory). Advanced three dimensional measurements of the boundary layer provides the highest statistical accuracy which is essential to understand complex rapidly changing processes. The development of eye-safe scanning Doppler lidars and processing algorithms to correct for the spatial filtering by the laser pulse smoothing and the contribution from estimation error have produced profiles of the mean velocity and key turbulence statistics (the energy dissipation rate, velocity variance, and turbulence length scale) for two orthogonal horizontal velocity components. This requires accurate information about the sensing volume of the lidar measurements as well as the statistical properties of the estimation error. The various processing techniques and fundamental assumptions for the analysis of scanning Doppler lidar data will be presented for various atmospheric conditions. Unresolved issues for future work will also be outlined.
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