2006
DOI: 10.1016/j.asr.2005.03.160
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First results of ozone profiles between 35 and 65 km retrieved from SCIAMACHY limb spectra and observations of ozone depletion during the solar proton events in October/November 2003

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Cited by 15 publications
(18 citation statements)
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“…The current SCIAMACHY limb retrieval (V2.9) uses combined spectral information from the UV and visible spectral ranges to obtain vertical profiles of ozone (Flittner et al, 2000;Rohen et al, 2006). As the first step, the limb spectral radiances are integrated in ±1 nm intervals around the central points.…”
Section: Sciamachy Limb V29 Retrieval Algorithmmentioning
confidence: 99%
“…The current SCIAMACHY limb retrieval (V2.9) uses combined spectral information from the UV and visible spectral ranges to obtain vertical profiles of ozone (Flittner et al, 2000;Rohen et al, 2006). As the first step, the limb spectral radiances are integrated in ±1 nm intervals around the central points.…”
Section: Sciamachy Limb V29 Retrieval Algorithmmentioning
confidence: 99%
“…For futher details of the retrieval methodology and algorithm we refer to previous publications Rohen, 2006;Rohen et al, 2006). However, the reached sensitivity of the retrieval to ozone is proposed to be between about 35 and 60 km, sometimes 65 km.…”
Section: Retrieval Methodology and Algorithmmentioning
confidence: 99%
“…It is based on the fitting of measured and modeled limb radiance profiles at discrete wavelengths. The inversion technique applied to SME measurements, up to now the only successful ozone retrieval from satellite-borne limb limb scatter measurements in the UV-B, exploits radiances at 265 and 296.4 nm (Rusch et al, 1983); ozone profile retrievals at wavelengths in the HART-LEY bands from SOLSE observations (McPeters et al, 2000) have also been done using this method, but had difficulties due to a low signal-to-noise ratio. For their attempt of a routine profile retrieval, radiances at eleven discrete wavelengths between 300 and 355 nm have been used (McPeters et al, 2000).…”
Section: Retrieval Methodology and Algorithmmentioning
confidence: 99%
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