HR: 11:20h
AN: A12B-05    [Abstracts]
TI: Estimating global CO$_{2}$ surface fluxes using CO$_{2}$ and $\delta^{13}$C data from the NOAA/CMDL network.
AU: * Miller, J B
EM: john.b.miller@noaa.gov
AF: NOAA/CMDL, R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Denning, A S
EM: denning@atmos.colostate.edu
AF: Dept. of Atmospheric Science, Colorado State University, Fort Collins, CO 80523 United States
AU: Peters, W
EM: wouter.peters@noaa.gov
AF: NOAA/CMDL, R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Bruhwiler, L
EM: lori.bruhwiler@noaa.gov
AF: NOAA/CMDL, R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Tans, P P
EM: pieter.tans@noaa.gov
AF: NOAA/CMDL, R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AB: In the last several years there has been considerable attention devoted to using global time-space patterns of CO$_{2}$ in the atmosphere to infer surface fluxes. Here, we present flux results derived from both CO$_{2}$ and $\delta^{13}$C, using data from the NOAA/CMDL sampling network in a three-dimensional inversion framework. $\delta^{13}$C data has been used previously but either in a two-dimensional transport framework, or using data from a small number of sampling sites. While it is clear that atmospheric $\delta^{13}$C contains unique information about surface flux patterns, it remains unclear exactly where and when $\delta^{13}$C is useful, given uncertainties in the $^{13}$C budget. We will use a Bayesian inversion setup in which CO$_{2}$ and $\delta^{13}$C data will be used to optimize not only surface fluxes but also patterns of isotopic fractionation and disequilibrium. Within this framework, we will be able to formally assess how much information $\delta^{13}$C data add compared to CO$_{2}$ alone, given uncertainties in CO$_{2}$ data, $\delta^{13}$C data, fractionation, disequilibrium, and first guesses of fluxes. This analysis will allow us to answer the question of what advances need to occur so that the atmospheric $\delta^{13}$C signal can be used most effectively. Finally, using our best uncertainty estimates, we will compare surface fluxes derived from CO$_{2}$ and $\delta^{13}$C data.
DE: 0312 Air/sea constituent fluxes (3339, 4504)
DE: 0315 Biosphere/atmosphere interactions
DE: 0322 Constituent sources and sinks
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting