HR: 14:25h
AN: A13H-03    [Abstracts]
TI: Interannual Variability And Trends Of CO As Seen By SCIAMACHY
AU: * Gloudemans, A M
EM: a.gloudemans@sron.nl
AF: SRON Netherlands Institute for Space Research, Sorbonnelaan 2, Utrecht, 3584CA, Netherlands
AU: Krol, M C
EM: m.c.krol@phys.uu.nl
AF: SRON Netherlands Institute for Space Research, Sorbonnelaan 2, Utrecht, 3584CA, Netherlands
AU: Krol, M C
EM: m.c.krol@phys.uu.nl
AF: Meteorology and Air Quality group, Wageningen University, P.O. Box 47, Wageningen, 6700AA, Netherlands
AU: Krol, M C
EM: m.c.krol@phys.uu.nl
AF: Institute for Marine and Atmospheric Research Utrecht, Princetonplein 5, Utrecht, 3584CC, Netherlands
AU: de Laat, J
EM: Jos.de.Laat@knmi.nl
AF: SRON Netherlands Institute for Space Research, Sorbonnelaan 2, Utrecht, 3584CA, Netherlands
AU: de Laat, J
EM: Jos.de.Laat@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, de Bilt, 3732GK, Netherlands
AU: Meirink, J
EM: j.f.meirink@phys.uu.nl
AF: Institute for Marine and Atmospheric Research Utrecht, Princetonplein 5, Utrecht, 3584CC, Netherlands
AU: van der Werf, G
EM: guido.van.der.werf@falw.vu.nl
AF: Faculty of Earth and Life Sciences, Free University, De Boelelaan 1085, Amsterdam, 1081HV, Netherlands
AU: Schrijver, H
EM: J.Schrijver@sron.nl
AF: SRON Netherlands Institute for Space Research, Sorbonnelaan 2, Utrecht, 3584CA, Netherlands
AU: Aben, I
EM: ilse@sron.nl
AF: SRON Netherlands Institute for Space Research, Sorbonnelaan 2, Utrecht, 3584CA, Netherlands
AB: The SCIAMACHY near-infrared satellite instrument currently provides 4 years of global carbon monoxide (CO) data. The sensitivity of SCIAMACHY to surface CO allows the investigation of sources and sinks as well as long- term variability and global trends. SCIAMACHY CO shows significant interannual variability, which is mainly due to variability in biomass burning. For example, extensive burning in Alaska in July 2004 has been clearly observed with SCIAMACHY, as well as the Siberian forest fires in Spring 2003 and in Indonesia in 2006. Of particular interest is the interannual variation of CO in the Southern Hemisphere where biomass burning is the main source of CO. SCIAMACHY data clearly show enhanced CO columns during the biomass-burning season in good agreement with chemistry-transport model simulations using the new independent satellite-based GFEDv2 biomass-burning emission data base. It is shown that up to 35% of the observed CO total columns over Australian biomass-burning regions during the 2004 fire season is due to CO transported from South American biomass-burning regions. In fact, the interannual variation in excess CO in Australia during the biomass-burning season is caused by interannual variation in biomass-burning CO emissions in South America. Differences between SCIAMACHY CO and model simulations over Australia are thus not only due to uncertainties in local emissions but also in overseas emissions followed by efficient long-range transport. Synergy of SCIAMACHY CO with MOPITT which is mostly sensitive to middle and upper tropospheric CO, will allow a better quantification of the contribution of local and overseas emissions in order to improve current emission estimates.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting