HR: 09:10h
AN: B41D-04 INVITED     [Abstracts]
TI: A Simulation Model of Carbon Cycling and Methane Emissions in Amazon Wetlands
AU: * Potter, C
EM: cpotter@mail.arc.nasa.gov
AF: NASA Ames Research Center, Mail Stop 242-4, Moffett Field, CA 94035 United States
AU: Melack, J
EM: melack@lifesci.ucsb.edu
AF: University of California, Institute for Computational Earth System Science, Santa Barbara, CA 93106 United States
AU: Hess, L
EM: lola@icess.ucsb.edu
AF: University of California, Institute for Computational Earth System Science, Santa Barbara, CA 93106 United States
AU: Forsberg, B
EM: forsberg@horizon.com.br
AF: Instituo Nacional de Pesquisas da Amazonia, INPA-CPEC C.P. 478, Manaus, AM 69011 Brazil
AU: Novo, E M
EM: evlyn@ltid.inpe.br
AF: Instituto Nacional de Pesquisas Espaciais, DSR (INPE), Sao Jose dos Campos, SP 12227 Brazil
AU: Klooster, S
EM: sklooster@mail.arc.nasa.gov
AF: California State University Monterey Bay, NASA/ARC, Seaside, CA 93955 United States
AB: An integrative carbon study is investigating the hypothesis that measured fluxes of methane from wetlands in the Amazon region can be predicted accurately using a combination of process modeling of ecosystem carbon cycles and remote sensing of regional floodplain dynamics. A new simulation model has been build using the NASA-CASA concept for predicting methane production and emission fluxes in Amazon river and floodplain ecosystems. Numerous innovations area being made to model Amazon wetland ecosystems, including: (1) prediction of wetland net primary production (NPP) as the source for plant litter decomposition and accumulation of sediment organic matter in two major vegetation classes -- flooded forests (varzea or igapo) and floating macrophytes, (2) representation of controls on carbon processing and methane evasion at the diffusive boundary layer, through the lake water column, and in wetland sediments as a function of changes in floodplain water level, (3) inclusion of surface emissions controls on wetland methane fluxes, including variations in daily surface temperature and of hydrostatic pressure linked to water level fluctuations. A model design overview and early simulation results are presented.
UR: http://geo.arc.nasa.gov/sge/casa/
DE: 1615 Biogeochemical processes (4805)
DE: 1620 Climate dynamics (3309)
DE: 1640 Remote sensing
DE: 0315 Biosphere/atmosphere interactions
DE: 0330 Geochemical cycles
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting