Analysis of Coherent Lidar Data
Abstract
The performance of the best velocity estimators was determined using a new technique that does not require in situ measurements to estimate the statistical performance of velocity estimates. A new theoretical prediction of the effects of the pulse averaging of the wind field on estimates of the spatial structure function and the variance of the velocity field has excellent agreement with simulations and the measurements from data. The conditions under which corrections for the effects of pulse averaging can be performed were determined. This permits accurate estimates of the velocity variance, the velocity structure function, and the energy dissipation rate when Kolmogorov scaling is valid or when a valid model exists for the spatial statistics. The performance of coherent Doppler lidar in the weak signal regime was determined by computer simulations and from data. Profiles of atmospheric statistics (mean velocity, velocity variance and energy dissipation rate for various lidar beam angles) were produced with corrections for the spatial averaging by the lidar pulse. Estimation algorithms for Doppler lidar data from cloudy regions were developed to handle high velocity shear and large gradients in backscatter. High resolution in situ measurements of atmospheric turbulence using an instrumented kite platform were produced.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 07, 1998
- Accession Number
- ADA344516
Entities
People
- Rod Frehlich
Organizations
- University of Colorado Boulder