HR: 12:05h
AN: B52B-08    [Abstracts]
TI: Using crop specific phenology models coupled with the Simple Biosphere Model (SiB) for improved prediction of Land-Atmosphere Exchanges Across the Midcontinental Region of North America
AU: * Lokupitiya, E Y
EM: erandi@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, United States
AU: Denning, S
EM: denning@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, United States
AU: Paustian, K
EM: keithp@nrel.colostate.edu
AF: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, United States
AU: Baker, I
EM: baker@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, United States
AU: Schaefer, K
EM: kevin.schaefer@nsidc.org
AF: National Snow and Ice Data Center, 449 UCB, University of Colorado, Boulder, CO 80309- 0449, United States
AB: Land-atmosphere exchanges in the Mid-Continent Intensive (MCI) region are dominated by agricultural management of cropland ecosystems. An accurate representation of crop dynamics (and hence crop phenology and physiology) in the existing model/s is important in predicting carbon and other exchanges. The current study was carried out in an attempt to develop, implement, and evaluate a numerical modeling system to estimate time-varying exchanges of carbon, water, and energy across the 5-state region of the Mid-Continent Intensive (MCI) experiment of the North American Carbon Program (NACP). This is to be achieved by using a coupled modeling system (i.e. SiB-RAMS; The Regional Atmospheric Modeling System (RAMS), a mesoscale meteorological (non-hydrostatic) model developed at Colorado State University, coupled to the Simple Biosphere Model (SiB)) tested against the observations at a variety of spatial scales. Since the original SiB had only minimal representation of cropland dynamics, we developed crop-specific phenology models to be coupled with SiB to improve the fluxes from the mid western region which is dominated by the managed agroecosystems. Coupled SiB-phenology models replaced the need for the use of remotely sensed NDVI information, on which SiB was originally relying for deriving Leaf Area Index (LAI) and the fraction of Photosynthetically Active Radiation (fPAR) for estimating carbon dynamics. Also, the use of phenology models remarkably improved the representation of LAI, Net Ecosystem Exchange, etc., by SiB, on validation against the site-specific observed values at different temporal scales.
DE: 0402 Agricultural systems
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
DE: 0438 Diel, seasonal, and annual cycles (4227)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting