Comparison of GCM subgrid fluxes calculated using BATS and SiB schemes with a coupled land-atmosphere high-resolution model
- Iowa State Univ., Ames, IA (United States)
The importance of land-atmosphere interactions and biosphere in climate change studies has long been recognized, and several land-atmosphere interaction schemes have been developed. Among these, the Simple Biosphere scheme (SiB) of Sellers et al. and the Biosphere Atmosphere Transfer Scheme (BATS) of Dickinson et al. are two of the most widely known. The effects of GCM subgrid-scale inhomogeneities of surface properties in general circulation models also has received increasing attention in recent years. However, due to the complexity of land surface processes and the difficulty to prescribe the large number of parameters that determine atmospheric and soil interactions with vegetation, many previous studies and results seem to be contradictory. A GCM grid element typically represents an area of 10{sup 4}-10{sup 6} km{sup 2}. Within such an area, there exist variations of soil type, soil wetness, vegetation type, vegetation density and topography, as well as urban areas and water bodies. In this paper, we incorporate both BATS and SiB2 land surface process schemes into a nonhydrostatic, compressible version of AMBLE model (Atmospheric Model -- Boundary-Layer Emphasis), and compare the surface heat fluxes and mesoscale circulations calculated using the two schemes. 8 refs., 5 figs.
- OSTI ID:
- 535165
- Report Number(s):
- CONF-960146-; CNN: Grant ATM-9319455; TRN: 97:005075-0026
- Resource Relation:
- Conference: 7. American Meteorological Society (AMS) symposium on global change studies, Atlanta, GA (United States), 28 Jan - 2 Feb 1996; Other Information: PBD: 1996; Related Information: Is Part Of Seventh symposium on global change studies; PB: 205 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Sensitivity of the biosphere-atmosphere transfer scheme (BATS) to the inclusion of variable soil characteristics
A revised land surface parameterization (SiB2) for atmospheric GCMs. Part II: The generation of global fields of terrestrial biophysical parameters from satellite data