Paper
13 February 2001 Probing near-surface atmospheric turbulence with lidar measurements and high-resolution hydrodynamic models
Chih-Yue Jim Kao, D. I. Cooper, J. M. Reisner, William E. Eichinger, Michael Ghil
Author Affiliations +
Proceedings Volume 4153, Lidar Remote Sensing for Industry and Environment Monitoring; (2001) https://doi.org/10.1117/12.417046
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan
Abstract
As lidar technology is able to provide fast data collection at a resolution of meters in an atmospheric volume, it is imperative to promote a modeling counterpart of the lidar capability. This paper describes an integrated capability based on data from a scanning water vapor lidar and a high-resoiution hydrodynamic model (HIGRAD) equipped with a visualization routine (VIEWER) that simulates the lidar scanning. The purpose is to better understand the spatial and temporal representativeness of the lidar measurements and, in turn, to extend their utility in studying turbulence fields in the atmospheric boundary layer. Raman lidar water vapor data collected over the Pacific warm pool and the simulations with the HIGRAD code are used for identifying the underlying physics and potential aliasing effects of spatially resolved lidar measurements. This capability also helps improve the trade-offbetween spatial-temporal resolution and coverage ofthe lidar measurements.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chih-Yue Jim Kao, D. I. Cooper, J. M. Reisner, William E. Eichinger, and Michael Ghil "Probing near-surface atmospheric turbulence with lidar measurements and high-resolution hydrodynamic models", Proc. SPIE 4153, Lidar Remote Sensing for Industry and Environment Monitoring, (13 February 2001); https://doi.org/10.1117/12.417046
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KEYWORDS
LIDAR

Data modeling

Atmospheric modeling

3D modeling

Raman spectroscopy

Computer simulations

Spatial resolution

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