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Three dimensional winds: A maximum cross-correlation application to elastic lidar data

Thesis/Dissertation ·
DOI:https://doi.org/10.2172/249296· OSTI ID:249296
 [1]
  1. Univ. of Texas, Austin, TX (United States)

Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar (light detection and ranging) data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three-dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain-following winds in the Rio Grande valley.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
249296
Report Number(s):
LA--13121-T; ON: DE96010650
Country of Publication:
United States
Language:
English