HR: 14:10h
AN: H23H-03    [Abstracts]
TI: Land Surface Fluxes for Dynamic Vegetation Through Linkage of SVAT and Crop Models
AU: * Casanova, J J
EM: jcasa@ufl.edu
AF: Center for Remote Sensing Department of Agriculrual and Biological Engineering University of Florida, Frazier Rogers Hall, P.O.Box 110570, Gainesville, FL 326011 United States
AU: Judge, J
EM: jasmeet@ufl.edu
AF: Center for Remote Sensing Department of Agriculrual and Biological Engineering University of Florida, Frazier Rogers Hall, P.O.Box 110570, Gainesville, FL 326011 United States
AB: Accurate knowledge of energy and moisture fluxes at the land surface interface is important for predicting weather, near-term climate, and for vegetation growth and development. SVAT models are typically used to estimate these fluxes. However, estimating accurate fluxes during a growing season using SVAT models ia a major challenge due to lack of a sophisticated vegetation and development component. Recently efforts have been made to improve vegetation components in such models to simulate realistic fluxes. This study investigates linkage of an SVAT model, viz. Land Surface Process (LSP) model with a widely-tested crop-growth model, CERES-Maize, during a growing season of corn in North-Central Florida. The LSP model simulates one-dimensional coupled heat and moisture transport and provides the crop model with estimates of soil moisture and temperature profiles as well as heat fluxes. The CERES-Maize model simulates corn growth and development and provides the estimates of canopy characteristics such as LAI, biomass, root distribution, etc., to the LSP model. The aim of the linkage is not to make modifications to the architecture of the SVAT or the crop-growth models, but to create an interface so that the linkage is independent of the choice of SVAT and crop-growth model. Two main challenges in linking these models are the differences in the models' timesteps and spatial nodes. The CERES model uses a daily timestep, while the LSP model uses a much shorter one, as small as a few seconds. Also, the CERES model uses only 9 soil layers in the vadose zone, and the LSP model uses 130 nodes. The LSP-crop model was validated for weather and soil conditions in North-Central Florida using data from our sencond Microwave Water and Energy Balance Experiment (MicroWEX-2). MicroWEX-2 was an extensive field experiment conducted by the Center for Remote Sensing to monitor a growing season of corn from Day of Year (DoY) 78 to DoY 154 in 2004. During MicroWEX-2, we observed micrometeorological, soil, and vegetative conditions along with microwave signatures for a nine-acre field. The results of the model linkage will be presented.
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1847 Modeling
DE: 1875 Vadose zone
SC: Hydrology [H]
MN: Fall Meeting 2005