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| Titel |
Improved retrieval of total and tropospheric NO2 column for GOME-2 |
| VerfasserIn |
Song Liu, Pieter Valks, Gaia Pinardi, Isabelle De Smedt, Huan Yu, Steffen Beirle |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250151798
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| Publikation (Nr.) |
 EGU/EGU2017-16557.pdf |
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| Zusammenfassung |
| This contribution focuses on the algorithm refinement for the retrieval of total and tropospheric nitrogen dioxide (NO2) columns for the GOME-2 satellite instrument. The improved algorithm will be implemented in the upcoming version of the operational GOME Data Processor (GDP) at the German Aerospace Center (DLR).
A larger 425-497 nm wavelength fitting window is used in the differential optical absorption spectroscopy (DOAS) retrieval of the NO2 slant column density. The reference spectra are updated, and the GOME-2 slit function variations over time and along orbit is taken into account. In addition, the effect of the new level 1b data version 6.1 on the retrieved NO2 slant column is analyzed. The STRatospheric Estimation Algorithm from Mainz (STREAM) is applied to determine the stratospheric column density of NO2. For the calculation of the tropospheric AMF, a new surface albedo climatology based on GOME-2 observations for 2007-2013 and a priori NO2 profile obtained from the chemical transport model IMAGESv2 are used.
We present the improvements in the NO2 retrieval algorithm and show comparisons with OMI NO2 data. Furthermore, we show examples of air quality applications with GOME-2 NO2 data. |
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