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Technical Note: Latitude-time variations of atmospheric column-average dry air mole fractions of CO₂, CH₄ and N₂O

Saito, R.; Patra, P. K.; Deutscher, N.; Wunch, D.; Ishijima, K.; Sherlock, V.; Blumenstock, T.; Dohe, S.; Griffith, D.; Hase, F.; Heikkinen, P.; Kyrö, E.; Macatangay, R.; Mendonca, J.; Messerschmidt, J.; Morino, I.; Notholt, J.; Rettinger, M.; Strong, K.; Sussmann, R.; ... mehr

Abstract (englisch):
We present a comparison of an atmospheric general circulation model (AGCM)-based chemistry-transport model (ACTM) simulation with total column measurements of CO2, CH4 and N2O from the Total Carbon Column Observing Network (TCCON). The model is able to capture observed trends, seasonal cycles and inter hemispheric gradients at most sampled locations for all three species. The model-observation agreements are best for CO2, because the simulation uses fossil fuel inventories and an inverse model estimate of non-fossil fuel fluxes. The ACTM captures much of the observed seasonal variability in CO2 and N2O total columns (~81 % variance, R>0.9 between ACTM and TCCON for 19 out of 22 cases). These results suggest that the transport processes in troposphere and stratosphere are well represented in ACTM. Thus the poor correlation between simulated and observed CH4 total columns, particularly at tropical and extra-tropical sites, have been attributed to the uncertainties in surface emissions and loss by hydroxyl radicals. While the upward-looking total column measurements of CO2 contains surface flux signals at various spatial and temporal scales, the N2O measurements are strongly affected by the concentration variations in the upper troposphere and stratosphere.

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Volltext §
DOI: 10.5445/IR/1000038979
DOI: 10.5194/acp-12-7767-2012
Zitationen: 20
Web of Science
Zitationen: 19
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2012
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000038979
HGF-Programm 12.03.01 (POF II, LK 01) Atmosphärische Variabilität und Trends
Erschienen in Atmospheric chemistry and physics
Verlag European Geosciences Union (EGU)
Band 12
Heft 16
Seiten 7767-7777
Nachgewiesen in Dimensions
Web of Science
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