Comparison of albedos computed by land surface models and their evaluation against remotely sensed data

Xue Wei, Andrea N. Hahmann, Robert E. Dickinson, Z ong-Liang Yan, Xubin Zen, Kimberly J . Schaudt, Crystal B. Schaaf, Nicholas Strugnell

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The albedos of two land surface models, the Biosphere-Atmosphere TransferS cheme(B ATS) and the NCAR Land SurfaceM odel (LSM), are compared with remotely sensed data and each other. The model albedos differ primarily because of their assumptions about and model differences in soil moisture content,
soil color, snow albedo, shading of snow by canopy, and prescribed parameters for each land cover type. Global albedo maps for February and July 1995, developed from the advancedv ery high resolutionr adiometer( AVHRR) data, are used to evaluate model albedos. The models display a high bias as compared to the remotely sensed values in desert and semidesert regions. Over North Africa, LSM, whose albedos were previously tuned to data from the Earth Radiation Budget Experiment (ERBE), has the highesta lbedos.E lsewherea, nd overall,B ATS has the highest bias for desert and semidesert regions. Both models demonstrate a high bias over regions of winter snow, where the AVHRR data are expected to have a negative bias. LSM has especially high winter albedos, apparently because of intercepted snow increasing its canopy albedo.
Original languageEnglish
JournalJournal of Geophysical Research: Atmospheres
Volume106
Issue numberD18
Pages (from-to)20,687-20,702
ISSN2169-9380
Publication statusPublished - 2001
Externally publishedYes

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