Computer Science – Performance
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufm.b32a..05v&link_type=abstract
American Geophysical Union, Fall Meeting 2006, abstract #B32A-05
Computer Science
Performance
0300 Atmospheric Composition And Structure, 0315 Biosphere/Atmosphere Interactions (0426, 1610), 0322 Constituent Sources And Sinks, 0426 Biosphere/Atmosphere Interactions (0315), 0490 Trace Gases
Scientific paper
The transport model used here is a Lagrangian box model, driven by 3D trajectory data and ECMWF meteorology. This improved COMET model derives the source receptor matrices needed for the inversion of the atmospheric concentration signal. We invert the mean mixed layer concentrations on a hourly basis. Forward performance of the transport model is very good with R2 ranging from 0.72-0.90 and biases around 0-2 ppb for methane. The inversion scheme is a Singular Value Decomposition matrix inversion technique with a recursive spatial aggregation routine to optimise the source area sizes to the tower footprints. Results will be shown for synthetic and very recent real observations of the new Tall Tower network in Europe, as initiated through the CHIOTTO and CarboEurope IP projects.
Pieterse G.
Vermeulen A. T.
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