HR: 0800h
AN: A21D-0906    [Abstracts]
TI: Ground-based solar absorption measurements of CH4 - satellite validation and model comparison
AU: * Warneke, T
EM: warneke@iup.physik.uni-bremen.de
AF: Institute of Environmental Physics, University of Bremen, Bremen, 28334 Germany
AU: Buchwitz, M
EM: buchwitz@iup.physik.uni-bremen.de
AF: Institute of Environmental Physics, University of Bremen, Bremen, 28334 Germany
AU: Meirink, J
EM: meirink@knmi.nl
AF: Section of Atmospheric Composition, Royal Netherlands Meteorological Institute, De Bilt, 3730 Netherlands
AU: Notholt, J
EM: notholt@uni-bremen.de
AF: Institute of Environmental Physics, University of Bremen, Bremen, 28334 Germany
AU: Schrems, O
EM: oschrems@AWI-Bremerhaven.de
AF: Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen, Bremerhaven, 27515 Germany
AB: Methane (CH4) is an important greenhouse gas in the atmosphere, which is addressed in the Kyoto-protocol. Since pre-industrial times its concentration has more than doubled. For the prediction of the future atmospheric concentration of methane a better understanding of the sources and sinks is needed. Information about atmospheric CH4 is mainly inferred from in situ measurements. The main limitation of these measurements is their sparse spatial distribution. Recently global atmospheric CH4 data retieved from the satellite instrument SCIAMACHY on ENVISAT became available. These data provide important information on methane sources and sinks. However, satellites measure the atmospheric CH4 column which is a different kind of information than the atmospheric CH4 in situ measurements. Especially due to the strong decrease of CH4 in the stratosphere the in situ and satellite measurements are not directly comparable. In this work we link the satellite measurements to the in situ measurements by deriving tropospheric and total column concentrations of methane from ground-based solar absorption measurements at Ny Alesund (Spitsbergen, 79N). The ground-based FTIR-data are compared with model data as well as in-situ and SCIAMACHY satellite data.
DE: 1610 Atmosphere (0315, 0325)
DE: 1615 Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 4805, 4912)
DE: 1640 Remote sensing (1855)
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005