Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Estimating Cloud Optical Depth from Surface...
Journal article

Estimating Cloud Optical Depth from Surface Radiometric Observations: Sensitivity to Instrument Noise and Aerosol Contamination

Abstract

Abstract The spectral-difference algorithm of Barker and Marshak for inferring optical depth τ of broken clouds has been shown numerically to be potentially useful. Their method estimates cloud-base reflectance and τ using spectral radiometric measurements made at the surface at two judiciously chosen wavelengths. Here it is subject to sensitivity tests that address the impacts of two ubiquitous sources of potential error: …

Authors

Beaulne A; Barker HW; Blanchet J-P

Journal

Journal of the Atmospheric Sciences, Vol. 62, No. 11, pp. 4095–4104

Publisher

American Meteorological Society

Publication Date

November 1, 2005

DOI

10.1175/jas3544.1

ISSN

0022-4928

Labels