Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Scintillation remote sensing of the fluxes of heat and momentum

Open Access Open Access

Abstract

A suite of instruments was deployed to assess the ability of scintillation techniques to measure the fluxes of heat and momentum in the atmospheric surface layer. The experiment took place over horizontally homogeneous terrain. The intensity variances were measured simultaneously from a laser beam received through a 1-mm aperture and from a large-aperture scintillometer. The ratio of these variances gives the inner scale l0. Knowing l0, either variance gives Cn2 Monin-Obukhov similarity theory relates heat and momentum fluxes to Cn2 and l0. A three-axis sonic anemometer and resistance wire thermometer were used to provide in situ measurements of these fluxes. Good agreement was obtained. Spaced hot film anemometers measured the velocity structure parameter, from which an in situ value of l0 was obtained. Optical scintillation was the superior method of obtaining l0. An optical scintillation crosswind meter was also deployed. Its axis was oriented vertically to measure the net vertical drift of rising, hot, turbulent air. These measurements correlated with heat flux for very unstable conditions. Also, Cn2 scintillometers were operated at two heights.

© 1989 Optical Society of America

PDF Article
More Like This
Optical Scintillation Instruments for Measuring Heat and Momentum Fluxes in the Atmospheric Surface Layer

Reginald J. Hill and Gerard R. Ochs
WD18 Optical Remote Sensing of the Atmosphere (ORS) 1990

Saturation of scintillation effects on the Cn2, I0, heat, and momentum fluxes scintillometer

Reginald J. Hill and Gerard R. Ochs
TuFF4 OSA Annual Meeting (FIO) 1990

Surface-Layer Micrometeorology by Optical Scintillation Techiques

R. J. Hill and G. R. Ochs
TuC16 Optical Techniques for Remote Probing of the Atmosphere (RPA) 1983

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.