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| Titel |
ULIRS, an optimal estimation retrieval scheme for carbon monoxide using IASI spectral radiances: sensitivity analysis, error budget and simulations |
| VerfasserIn |
S. M. Illingworth, J. J. Remedios, H. Boesch, D. P. Moore, H. Sembhi, A. Dudhia, J. C. Walker |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 2 ; Nr. 4, no. 2 (2011-02-11), S.269-288 |
| Datensatznummer |
250001674
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| Publikation (Nr.) |
 copernicus.org/amt-4-269-2011.pdf |
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| Zusammenfassung |
| This paper presents a new retrieval scheme for tropospheric
carbon monoxide (CO), using measured radiances from the
Infrared Atmospheric Sounding Interferometer (IASI) onboard
the MetOp-A satellite. The University of Leicester IASI
Retrieval Scheme (ULIRS) is an optimal estimation retrieval
scheme, which utilises equidistant pressure levels and
a floating pressure grid based on topography. It makes use of
explicit digital elevation and emissivity information, and
incorporates a correction for solar surface reflection in the
daytime with a high resolution solar spectrum. The retrieval
scheme has been assessed through a formal error analysis, via
the simulation of surface effects and by an application to
real IASI data over a region in Southern Africa. The ULIRS
enables the retrieval of between 1 and 2 pieces of
information about the tropospheric CO vertical profiles, with
peaks in the sensitivity at approximately 5 and
12 km. Typical errors for the African region relating to the
profiles are found to be ~20% at 5 and 12 km, and on
the total columns to range from 18 to 34%. Finally the
performance of the ULIRS is shown for a range of simulated
geophysical conditions. |
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