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  Profile information on CO from SCIAMACHY observations using cloud slicing and comparison with model simulations

Liu, C., Beirle, S., Butler, T., Hoor, P., Frankenberg, C., Jöckel, P., et al. (2014). Profile information on CO from SCIAMACHY observations using cloud slicing and comparison with model simulations. Atmospheric Chemistry and Physics, 14(3), 1717-1732. doi:10.5194/acp-14-1717-2014.

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 Creators:
Liu, C.1, Author              
Beirle, S.1, Author              
Butler, T.2, Author              
Hoor, P.2, Author              
Frankenberg, C.3, Author
Jöckel, P.2, Author              
Penning de Vries, M.1, Author              
Platt, U.3, Author
Pozzer, A.2, Author              
Lawrence, M. G.2, Author              
Lelieveld, J.2, Author              
Tost, H.2, Author              
Wagner, T.1, Author              
Affiliations:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              
3external, ou_persistent22              

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 Abstract: We apply a cloud slicing technique (CST), originally developed for Total Ozone Mapping Spectrometer (TOMS) ozone observations, to CO vertical column densities retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). CST makes use of the shielding effect of clouds and combines trace gas column measurements of cloudy pixels with different cloud heights to retrieve fractional columns aloft. Here we determine seasonal mean tropospheric CO profiles at a vertical resolution of about 1 km, which is much finer than what can be obtained from thermal infrared (IR) instruments. However, since both the atmospheric CO profiles and the effective cloud heights depend systematically on meteorology, and in addition part of the retrieved signal originates from the clear part of the satellite ground pixel, the profiles retrieved from the CST have to be interpreted with care. We compare the seasonal mean SCIAMACHY CO profiles with the output from two atmospheric models sampled in the same way as the satellite observations. We find in general good agreement of the spatial patterns, but systematic differences in the absolute values are observed in both hemispheres (more strongly in the Northern Hemisphere), indicating that the source strengths in the emission inventories are probably underestimated.

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 Dates: 2014
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: ISI: 000332384900035
DOI: 10.5194/acp-14-1717-2014
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Title: Atmospheric Chemistry and Physics
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : European Geosciences Union
Pages: - Volume / Issue: 14 (3) Sequence Number: - Start / End Page: 1717 - 1732 Identifier: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016