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Proceedings Paper

Retrieval of areal-averaged spectral surface albedo from transmission data alone: computationally simple and fast approach
Author(s): Evgueni Kassianov; James Barnard; Connor Flynn; Laura Riihimaki; Joseph J. Michalsky Jr.; Gary Hodges
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Paper Abstract

We introduce and evaluate a simple retrieval of areal-averaged surface albedo using ground-based measurements of atmospheric transmission alone at five wavelengths (415, 500, 615, 673 and 870nm), under fully overcast conditions. Our retrieval is based on a one-line semi-analytical equation and widely accepted assumptions regarding the weak spectral dependence of cloud optical properties, such as cloud optical depth and asymmetry parameter, in the visible and near-infrared spectral range. To illustrate the performance of our retrieval, we use as input measurements of spectral atmospheric transmission from the Multi-Filter Rotating Shadowband Radiometer (MFRSR). These MFRSR data are collected at two well-established continental sites in the United States supported by the U.S. Department of Energy’s (DOE’s) Atmospheric Radiation Measurement (ARM) Program and National Oceanic and Atmospheric Administration (NOAA). The areal-averaged albedos obtained from the MFRSR are compared with collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) white-sky albedo. In particular, these comparisons are made at four MFRSR wavelengths (500, 615, 673 and 870nm) and for four seasons (winter, spring, summer and fall) at the ARM site using multi-year (2008-2013) MFRSR and MODIS data. Good agreement, on average, for these wavelengths results in small values (≤0.015) of the corresponding root mean square errors (RMSEs) for these two sites. The obtained RMSEs are comparable with those obtained previously for the shortwave albedos (MODIS-derived versus tower-measured) for these sites during growing seasons. We also demonstrate good agreement between tower-based daily-averaged surface albedos measured for “nearby” overcast and non-overcast days. Thus, our retrieval originally developed for overcast conditions likely can be extended for non-overcast days by interpolating between overcast retrievals.

Paper Details

Date Published: 21 October 2014
PDF: 6 pages
Proc. SPIE 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII, 924205 (21 October 2014); doi: 10.1117/12.2070282
Show Author Affiliations
Evgueni Kassianov, Pacific Northwest National Lab. (United States)
James Barnard, Pacific Northwest National Lab. (United States)
Connor Flynn, Pacific Northwest National Lab. (United States)
Laura Riihimaki, Pacific Northwest National Lab. (United States)
Joseph J. Michalsky Jr., National Oceanic and Atmospheric Administration (United States)
Gary Hodges, Univ. of Colorado (United States)

Published in SPIE Proceedings Vol. 9242:
Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII
Adolfo Comerón; Karin Stein; John D. Gonglewski; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard, Editor(s)

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