Investigating Land-Atmosphere CO2 Exchange with a Coupled Biosphere-Atmospheric Model: SiB3-RAMS
Kathy
D
Corbin, Atmospheric Science, Colorado State University, kdcorbin@atmos.colostate.edu
Scott
Denning, Atmospheric Science, Colorado State University, denning@atmos.colostate.edu
(Presenting)
Ian
Baker, Atmospheric Science, Colorado State University, baker@atmos.colostate.edu
Nick
Parazoo, Atmospheric Science, Colorado State University, nparazoo@atmos.colostate.edu
Andrew
Schuh, Atmospheric Science, Colorado State University, aschuh@atmos.colostate.edu
Lixin
Lu, Atmospheric Science, Colorado State University, lu@atmos.colostate.edu
We coupled the Simple Biosphere (SiB3) Model to the Colorado State University Regional Atmospheric Modeling System (RAMS). The photosynthesis in SiB3-RAMS is driven by either leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) data from NASA's MODIS satellite or normalized difference vegetation index (NDVI) data from SPOT. The respiration factor and initial soil moisture fields are created for each grid cell from an offline SiB3 run. Evaluation of a 10-day North American simulation in August 2001 shows realistic CO2 fluxes and concentrations. Currently, we are implementing the capability to initialize CO2 concentrations and to nudge lateral boundaries to mixing ratios from Parameterized Chemical Transport Model (PCTM) global simulations, with 1o by 1.25ospatial resolution, 20 vertical levels, and a 3-hourly time-step. SiB3-RAMS will be used to evaluate high-resolution fossil fuel emissions estimates.