ARCTIC SEA-ICE ALBEDO FROM AVHRR

Citation
Rw. Lindsay et Da. Rothrock, ARCTIC SEA-ICE ALBEDO FROM AVHRR, Journal of climate, 7(11), 1994, pp. 1737-1749
Citations number
37
Categorie Soggetti
Metereology & Atmospheric Sciences
Journal title
ISSN journal
08948755
Volume
7
Issue
11
Year of publication
1994
Pages
1737 - 1749
Database
ISI
SICI code
0894-8755(1994)7:11<1737:ASAFA>2.0.ZU;2-8
Abstract
The seasonal cycle of surface albedo of sea ice in the Arctic is estim ated from measurements made with the Advanced Very High Resolution Rad iometer (AVHRR) on the polar-orbiting satellites NOAA-IO and NOAA-11. The albedos of 145 200-km-square cells are analyzed. The cells are fro m March through September 1989 and include only those for which the su n is more than 10 degrees above the horizon. Cloud masking is performe d manually. Corrections are applied for instrument calibration, noniso tropic reflection, atmospheric interference, narrowband to broadband c onversion, and normalization to a common solar zenith angle. The estim ated albedos are relative, with the instrument gain set to give an alb edo of 0.80 for ice floes in March and April. The mean values for the cloud-free portions of individual cells range from 0.18 to 0.91. Month ly averages of cells in the central Arctic range from 0.76 in April to 0.47 in August. The monthly averages of the within-cell standard devi ations in the central Arctic are 0.04 in April and 0.06 in September. The surface albedo and surface temperature are correlated most strongl y in March (R = -0.77) with little correlation in the summer. The mont hly average lead fraction is determined from the mean potential open w ater, a scaled representation of the temperature or albedo between 0.0 (for ice) and 1.0 (for water); in the central Arctic it rises from an average 0.025 in the spring to 0.06 in September. Sparse data on aero sols, ozone, and water vapor in the atmospheric column contribute unce rtainties to instantaneous, area-average albedos of 0.13, 0.04, and 0. 08. Uncertainties in monthly average albedos are not this large. Conte mporaneous estimation of these variables could reduce the uncertainty in the estimated albedo considerably. The poor calibration of AVHRR ch annels 1 and 2 is another large impediment to making accurate albedo e stimates.