HR: 0830h
AN: B51E-1017    [PDF]
TI: Modeling seasonal vegetation variation and its validation against satellite-based observations
AU: Kim, Y
EM: yeonjoo.kim@uconn.edu
AF: University of Connecticut, Department of Civil & Environmental Engineering, Storrs, CT 06269-2037
AU: * Wang, G
EM: gwang@engr.uconn.edu
AF: University of Connecticut, Department of Civil & Environmental Engineering, Storrs, CT 06269-2037
AB: Seasonal variation of vegetation, determined by plant phenology, impacts the seasonality of surface and atmospheric water cycles by controlling the leaf area available for transpiration. It also impacts the seasonality of land surface energy balance by controlling the intra-annual surface albedo changes. At the same time, leaf seasonal variations respond to both cumulative and concurrent hydro-meteorological conditions. In order to account for this vegetation feedback at the seasonal time scale, we incorporate a predictive plant phenology scheme into the land surface model CLM and evaluate its performance against satellite-based observations. The atmospheric forcing data from the NCEP/NCAR reanalysis is used to drive the land surface model, and the AVHRR Normalized Difference Vegetation Index (NDVI) is used for model validation. Existing problems and the need for further model development will be identified based on this work.
DE: 0315 Biosphere/atmosphere interactions
DE: 0400 Biogeosciences
SC: Biogeosciences [B]
MN: 2003 Fall Meeting