HR: 16:30h
AN: A24C-03    [Abstracts]
TI: Modeling and observations of atmospheric CO2 in PBL over Siberia
AU: * Maksyutov, S
EM: shamil@jamstec.go.jp
AF: Frontier Research Center for Global Change, 3173-25 Showa-machi, Kanazawa, Yokohama, 236-0001 Japan
AU: Machida, T
EM: tmachida@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa,, Tsukuba, 305-8406 Japan
AU: Ishizawa, M
EM: misa@jamstec.go.jp
AF: Frontier Research Center for Global Change, 3173-25 Showa-machi, Kanazawa, Yokohama, 236-0001 Japan
AU: Venevsky, S
EM: venevska@rz.uni-potsdam.de
AF: Frontier Research Center for Global Change, 3173-25 Showa-machi, Kanazawa, Yokohama, 236-0001 Japan
AU: Venevsky, S
EM: venevska@rz.uni-potsdam.de
AF: Institute of Atmospheric Physics, 3 Pyzhevsky per., Moscow, 109017 Russian Federation
AU: Inoue, G
EM: inouegen@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa,, Tsukuba, 305-8406 Japan
AB: Coupling the ecosystem model to atmospheric transport in global scale provides a tool for the regional scale analysis of the atmospheric CO2 exchange with Siberian terrestrial biosphere, aiming at developing a regional scale inverse model of the ecosystem function and carbon flux variability. Ecosystem model simulation was conducted with daily time step at the resolution of 1x1 degree, forced by 40 years of NCEP reanalysis data with 2 global models of the ecosystem biogeochemistry: Biome-BGC and LPJ. Simplified global fire model was included in LPJ simulation. NCEP reanalysis wind data are used in the global tracer transport model, interpolated to 1x1 degree resolution. The model simulations are compared to observed CO2 variability over Siberia as well as some other continental and remote sites. The results of the simulation suggest that although coupling the daily biospheric fluxes to the transport model with given resolution fails to reproduce the short term variability (about 1 day), it produces a reasonably good correlation with observed variability when longer time scales are considered (2-5 days). The results provide a base for treating the short term (1-2 weeks) variability as signal rather than noise in the inverse model analysis of the global and regional level CO2 exchange with the atmosphere.
DE: 0322 Constituent sources and sinks
DE: 0400 Biogeosciences
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting