HR: 09:00h
AN: A11F-05    [Abstracts]
TI: Estimation of the regional sources and sinks of CO2 with a focus on Europe using both regional and global atmospheric models
AU: * Rivier, L
EM: leonard.rivier@cea.fr
AF: Laboratoire des Sciences du Climat et de l'Environnement, Orme des Merisiers, Bat 701, Gif/yvette, 91190 France
AU: Brandt, J
EM: JBR@dmu.dk
AF: National Environmental Research Institute, Department of Atmospheric Environment DK-4000 Roskilde, Denmark., Frederiksborgvej 399, P. O. Box 358, Roskilde, DK-4000 Denmark
AU: Ciais, P
EM: Philippe.Ciais@cea.fr
AF: Laboratoire des Sciences du Climat et de l'Environnement, Orme des Merisiers, Bat 701, Gif/yvette, 91190 France
AU: Bousquet, p
EM: bousquet@lsce.saclay.cea.fr
AF: Laboratoire des Sciences du Climat et de l'Environnement, Orme des Merisiers, Bat 701, Gif/yvette, 91190 France
AU: Geels, C
EM: cag@dmu.dk
AF: National Environmental Research Institute, Department of Atmospheric Environment DK-4000 Roskilde, Denmark., Frederiksborgvej 399, P. O. Box 358, Roskilde, DK-4000 Denmark
AU: Gloor, M
EM: emg@splash.princeton.edu
AF: Max-Planck-Institute for Biogeochemistry, Beutenberg Campus, Hans-Knoell-Straáe, Jena, D-07745 Germany
AU: Heimann, M
EM: martin.heimann@bgc-jena.mpg.de
AF: Max-Planck-Institute for Biogeochemistry, Beutenberg Campus, Hans-Knoell-Straáe, Jena, D-07745 Germany
AU: Karstens, U
EM: karstens@dkrz.de
AF: Max-Planck-Institute for Biogeochemistry, Beutenberg Campus, Hans-Knoell-Straáe, Jena, D-07745 Germany
AU: Rodenbeck, C
EM: christian.roedenbeck@bgc-jena.mpg.de
AF: Max-Planck-Institute for Biogeochemistry, Beutenberg Campus, Hans-Knoell-Straáe, Jena, D-07745 Germany
AU: Peylin, P
EM: peylin@lsce.saclay.cea.fr
AF: Laboratoire des Sciences du Climat et de l'Environnement, Orme des Merisiers, Bat 701, Gif/yvette, 91190 France
AB: With a specific focus on Europe as part of the AEROCARB/CARBO-EUROPE project, we use atmospheric models to assess the monthly sources and sinks of atmospheric CO2 for the year 1998. A Bayesian inverse approach is used (top-down) where the spread between modelled and measured CO2 concentrations in the atmosphere is minimised. We divide Europe into as much as 26 regions to address the issue of aggregation error and determine what degree of refinement we can reach using this inverse method and the latest network of CO2 measuring stations over Europe. One of the specificity of this work is to use both mesoscale and global models with the same protocol to do these inversions. We evaluate the spread in the results arising when using these different models. The west (sink) to east (source) gradient on the fluxes found over Europe is analysed. Several sensitivity studies are performed and classified according to the importance of their effect on the European fluxes. Specificities attached to the use of mesoscale models are disccussed.
DE: 3322 Land/atmosphere interactions
DE: 3337 Numerical modeling and data assimilation
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0315 Biosphere/atmosphere interactions
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting