HR: 10:40h
AN: B42C-02 INVITED    [Abstracts]
TI: Nested Global Inversion for the Carbon Flux Distribution in Canada and USA from 1994 to 2003
AU: * Chen, J M
EM: chenj@geog.utoronto.ca
AF: University of Toronto, 100 St. George Street, Toronto, ON L4Z 3Y7, Canada
AU: Deng, F
EM: dengf@geog.utoronto.ca
AF: University of Toronto, 100 St. George Street, Toronto, ON L4Z 3Y7, Canada
AU: Ishizawa, M
EM: misa.ishizawa@ec.gc.ca
AF: University of Toronto, 100 St. George Street, Toronto, ON L4Z 3Y7, Canada
AU: Ju, W
EM: juweimin@yahoo.com
AF: University of Toronto, 100 St. George Street, Toronto, ON L4Z 3Y7, Canada
AU: Mo, G
EM: gangmo@geog.utoronto.ca
AF: University of Toronto, 100 St. George Street, Toronto, ON L4Z 3Y7, Canada
AU: Chan, D
EM: douglas.chan@ec.gc.ca
AF: Environment Canada, 4905 Dufferin Street, Toronto, ON M3H 5T4, Canada
AU: Higuchi, K
EM: kaz.higuchi@ec.gc.ca
AF: Environment Canada, 4905 Dufferin Street, Toronto, ON M3H 5T4, Canada
AU: Maksyutov, S
EM: shamil@nies.go.jp
AF: National Institute of Environmental Studies, 16-2 Onogawa, Tsukuba, IBA 305-8506, Japan
AB: Based on TransCom inverse modeling for 22 global regions, we developed a nested global inversion system for estimating carbon fluxes of 30 regions in North America (2 of the 22 regions are divided into 30). Irregular boundaries of these 30 regions are delineated based on ecosystem types and provincial/state borders. Synthesis Bayesian inversion is conducted in monthly steps using CO₂ concentration measurements at 88 coastal and continental stations of the globe for the 1994-2003 period (NOAA GlobalView database). Responses of these stations to carbon fluxes from the 50 regions are simulated using the transport model of National Institute for Environmental Studies of Japan and reanalysis wind fields of the National Centers for Environmental Prediction (NCEP). Terrestrial carbon flux fields modeled using BEPS and Biome-BGC driven by NCEP reanalysis meteorological data are used as two different a priori to constrain the inversion. The inversion (top- down) results are compared with remote sensing-based ecosystem modeling (bottom-up) results in Canada's forests and wetlands. There is a broad consistency in the spatial pattern of the carbon source and sink distributions obtained using these two independent methods. Both sets of results also indicate that Canada's forests and wetlands are carbon sinks in 1994-2003, but the top-down method produces consistently larger sinks than the bottom-up results. Reasons for this discrepancy may lie in both methods, and several issues are identified for further investigation.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 0322 Constituent sources and sinks
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting