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Cloud and Surface Properties Derived from AVHRR over Arctic Ocean: Comparison with Surface Measurement and In-Situ Aircraft Data

Xiong, X. (a,d), Storvold, R. (a), Marty, Ch. (a), Stamnes, K. (b), Li, W. (b), and Lubin, D.(c), Geophysical Institute, University of Alaska Fairbanks (a), Steven Institute of Technology (b), Scripps Institution of Oceanography-University of California, San Diego (c), QSS Group Inc. (d)
Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting

Based on an accurate and comprehensive radiative transfer model, a set of algorithms were developed for using the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data to study the cloud and surface properties over the Arctic Ocean, which includes the discrimination of cloudy/clear scenes over snow/ice surfaces, retrieval of snow surface properties and surface albedo, and retrieval of cloud optical depth and effective droplet size. These algorithms were validated with in-situ aircraft measurements by the NCAR C-130 and the NASA ER-2 and with surface measurements obtained during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment, and applied to derive the seasonal variation of surface albedo, cloud properties and solar shortwave radiation budget over SHEBA based on 1 or 2 AVHRR overpasses per day in the melt season between April and August, 1998.

Note: This is the poster abstract presented at the meeting; an extended version was not provided by the author(s).