HR: 0800h
AN: B51A-0051    [Abstracts]
TI: Evaluating Modeled Vegetation Phenology Over North American Continent With Satellite and Ground-based Observations
AU: * Lu, L
EM: lixin@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Foothill Campus, Fort Collins, CO 80523, United States
AU: Stockli, R
EM: stockli@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Foothill Campus, Fort Collins, CO 80523, United States
AU: Baker, I
EM: baker@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Foothill Campus, Fort Collins, CO 80523, United States
AU: Denning, S A
EM: denning@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Foothill Campus, Fort Collins, CO 80523, United States
AB: The two-way interaction between vegetation and atmosphere plays an important role in global energy, water, and carbon cycles. The strong seasonal and interannual variability of leaf area index (LAI) and its vegetation- dependent spatial heterogeneity influences the short-term weather forecast and seasonal climate prediction. Therefore prognostic simulation of land-atmosphere interaction with respect to climate variability and change is crucial, and requires realistic representation of transpiring leaves in response to diurnal, seasonal, interannual, and longer-term changes in weather and climate. Three existing prognostic phenology models are selected to simulate vegetation growth: the Community Land Model version 3 CLM3-CN, CLM3-DGVM, and the Simple Biosphere Model Version 2.5 with the Growth Season Index (SiB2.5-GSI). Off-line model simulations over North America are carried out at 32-km grid spacing by use of the North American Regional Reanalysis (NARR) product. The modeled carbon, water and energy fluxes are validated with measurements from the AmeriFlux network. Both, ground-based LAI measurements (at points) and satellite remote sensing NDVI and FPAR (spatially resolved) products will be used to evaluate the modeled prognostic vegetation phenology in response to seasonal to interannual climate forcings. Our ultimate goal is to build a globally-applicable, multi-scale vegetation modeling system with prognostic vegetation phenology that can address the strong spatial heterogeneity, the seasonal and interannual variability of vegetation distribution and its associated biophysical parameters within the terrestrial water and carbon cycle.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 1615 Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 4805, 4912)
DE: 1622 Earth system modeling (1225)
DE: 4806 Carbon cycling (0428)
DE: 4815 Ecosystems, structure, dynamics, and modeling (0439)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting