Open AccessComparison of albedos computed by land surface models and evaluation against remotely sensed data
Author(s) -
Wei Xue,
Hahmann Andrea N.,
Dickinson Robert E.,
Yang ZongLiang,
Zeng Xubin,
Schaudt Kimberly J.,
Schaaf Crystal B.,
Strugnell Nicholas
Publication year - 2001
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2001jd900218
Subject(s) - albedo (alchemy) , environmental science , advanced very high resolution radiometer , snow , biosphere , radiometer , remote sensing , atmospheric sciences , meteorology , geology , geography , satellite , art , performance art , engineering , biology , art history , aerospace engineering , ecology
The albedos of two land surface models, the Biosphere‐Atmosphere Transfer Scheme (BATS) and the NCAR Land Surface Model (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 advanced very high resolution radiometer (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 highest albedos. Elsewhere, and overall, BATS 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.