Influence of Subgrid Variability on Soil Moisture and Latent Heat Flux
نویسندگان
چکیده
Soil hydrology is highly nonlinear. As surface soil becomes To characterize the subgrid variability in surface hydrology at saturated with water, excess water runs off in streams. If the the SGP site, we drive a land surface model (the parameters that influence surface soil water vary widely within Biosphere-Atmosphere Transfer Scheme [BATS]; Dickinson a general circulation model (GCM) grid cell, the grid cell et al. 1993) with meteorology, radiation, soil characteristics, mean soil moisture and latent heat flux could be very sensitive and vegetation characteristics observed at 111 Oklahoma to the treatment of subgrid variability. MESONET stations for the period from June to August 1995.
منابع مشابه
Influence of soil moisture and surface roughness heterogeneity on modeled climate
Numerical and observational studies have documented the climatic importance of land surface variability, especially in soil moisture and surface roughness. Land surface representations within global c h a t e models, however, have been based on global vegetation data sets that characterize the surface as invariant at scales smaller than about (100 km12. Within climate model grid areas, the vege...
متن کاملImpact of Small-Scale Rainfall Variability on Larger-Scale Spatial Organization of Land–Atmosphere Fluxes
A coupled modeling framework is used in this study to investigate the effect of subgrid-scale rainfall variability on the spatial structure of the evolving storm and on other surface variables and water and energy fluxes. The Fifth-Generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model coupled with the Biosphere–Atmosphere Transfer Scheme is combined w...
متن کاملQuantifying the Spatial Variability of Surface Fluxes Using Data from the 2002 International H2O Project
Spatial variability in the exchange of energy and moisture is a key control on numerous atmospheric, hydrologic, and environmental processes. Using observations made on fair weather days during the 2002 International H2O Project, four methods for quantifying the spatial variability of surface fluxes are investigated. The first two methods utilize applied statistical techniques to describe the s...
متن کاملOn measuring and modeling energy fluxes above the floor of a homogeneous and heterogeneous conifer forest
Information on mass and energy exchange at the soil surface under vegetation is a critical component of micrometeorological, climate, biogeochemical and hydrological models. Under sparse boreal and western conifer forests as much as 50% of incident solar energy reaches the soil surface. How this energy is partitioned into evaporating soil moisture, heating the air and soil remains a topic of sc...
متن کاملThesis Applying Two Binned Methods to the Simple Biosphere Model (sib) for Improving the Representation of Spatially Varying Precipitation and Soil Wetness
Representing subgrid-scale variability is a continuing challenge for modelers, but is crucial for accurately calculating the exchanges of energy, moisture, and momentum between the land surface and atmospheric boundary layer. Soil wetness is highly spatially variable and difficult to resolve at grid length scales (~100 km) used in General Circulation Models (GCMs). Currently, GCMs use an area a...
متن کامل