HR: 10:35h
AN: H41H-02    [PDF]
TI: Effects of spatial aggregation on land-atmosphere interactions using large-eddy simulations LES) with a Lagrangian dynamic model
AU: * Kumar, V
EM: vijayant@jhu.edu
AF: Center for Environmental & Applied Fluid Mechanics, Johns Hopkins University 3400 N Charles St, Baltimore, MD 21218 United States
AU: Parlange, M B
EM: parlange@jhu.edu
AF: Center for Environmental & Applied Fluid Mechanics, Johns Hopkins University 3400 N Charles St, Baltimore, MD 21218 United States
AU: Meneveau, C
EM: meneveau@jhu.edu
AF: Center for Environmental & Applied Fluid Mechanics, Johns Hopkins University 3400 N Charles St, Baltimore, MD 21218 United States
AU: Schmugge, T J
EM: schmugge@hydrolab.arsusda.gov
AF: USDA-ARS Hydrology & Remote Sensing Lab, Beltsville, Beltsville, MD 20705 United States
AB: A numerical study of land-atmosphere interactions in the atmospheric boundary layer (ABL) is performed using the large-eddy simulation (LES) technique. The LES uses the Lagrangian dynamic sub-grid scale model in which the eddy-viscosity coefficient is obtained from the large scales of the simulation rather than being imposed in an ad-hoc fashion by the user. Results of a simulation of the diurnal cycle of ABL evolution are used to illustrate the robustness of the Lagrangian dynamic model in adapting locally and temporally to the changes in atmospheric stability. Then, a remotely-sensed dataset of the skin temperature from USDA-ARS El Reno experiment is integrated as a bottom boundary condition in the LES. The Lagrangian dynamic model yields spatially varying coefficient fields that are well adapted to the innate heterogeneity brought about by the inclusion of remotely-sensed data. Spatial aggregation at various scales is subsequently used as a tool to investigate high-resolution LES and quantify the influence of embedded heterogeneity in the remotely-sensed boundary condition on the surface fluxes and land surface-atmosphere interactions.
DE: 3307 Boundary layer processes
DE: 3322 Land/atmosphere interactions
DE: 3337 Numerical modeling and data assimilation
DE: 3360 Remote sensing
DE: 3379 Turbulence
SC: Hydrology [H]
MN: 2003 Fall Meeting