Odin/OSIRIS observations of stratospheric NO&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; through sunrise and sunset

McLinden, Chris A.; Haley, C. S.

doi:10.5194/acp-8-5529-2008

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…To date, there are roughly 400,000 profiles of each available. Some current research products include an alternative O 3 that extends into the mesosphere [ Degenstein et al , 2009], stratospheric OClO [ Krecl et al , 2006] and NO 3 [ McLinden and Haley , 2008], mesospheric OH [ Gattinger et al , 2006], and limb polarization [ McLinden et al , 2004].…”

Section: Osiris On Odinmentioning

confidence: 99%

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y

et al. 2010

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[1] A 7+ year (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) data set of stratospheric BrO profiles measured by the Optical Spectrograph and Infra-Red Imager System (OSIRIS) instrument, a UV-visible spectrometer measuring limb-scattered sunlight from the Odin satellite, is presented. Zonal mean radiance spectra are computed for each day and inverted to yield effective daily zonal mean BrO profiles from 16 to 36 km. A detailed description of the retrieval methodology and error analysis is presented. Single-profile precision and effective resolution are found to be about 30% and 3-5 km, respectively, throughout much of the retrieval range. Individual profile and monthly mean comparisons with ground-based, balloon, and satellite instruments are found to agree to about 30%. A BrO climatology is presented, and its morphology and correlation with NO 2 is consistent with our current understanding of bromine chemistry. Monthly mean Br y maps are derived. Two methods of calculating total Br y in the stratosphere are used and suggest (21.0 ± 5.0) pptv with a contribution from very short lived substances of (5.0 ± 5.0) pptv, consistent with other recent estimates.

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Section: Osiris On Odinmentioning

confidence: 99%

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y

et al. 2010

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“…This is due to the fact that the broadband shape of the atmospheric transmission and the convolution with the instrument function do not commute (Wenig et al, 2005). The tilt effect was previously described and is explicitly corrected for by Sioris et al (2003Sioris et al ( , 2006, Haley et al (2004), Krecl et al (2006), McLinden and Haley (2008), McLinden et al (2010), and Rozanov et al (2011) by including one additional tilt-effect pseudo absorber in the spectral analyses, the magnitude of which was determined from the spectral fit. In their pioneering work, Sioris et al (2003) named this effect the "tilt effect" and corrected its impact by including a correction spectrum calculated using a radiative transfer model in the spectral analysis.…”

Section: Introductionmentioning

confidence: 99%

The tilt effect in DOAS observations

et al. 2017

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Abstract. Experience of differential atmospheric absorption spectroscopy (DOAS) shows that a spectral shift between measurement spectra and reference spectra is frequently required in order to achieve optimal fit results, while the straightforward calculation of the optical density proves inferior. The shift is often attributed to temporal instabilities of the instrument but implicitly solved the problem of the tilt effect discussed/explained in this paper.Spectral positions of Fraunhofer and molecular absorption lines are systematically shifted for different measurement geometries due to an overall slope -or tilt -of the intensity spectrum. The phenomenon has become known as the tilt effect for limb satellite observations, where it is corrected for in a first-order approximation, whereas the remaining community is less aware of its cause and consequences.It is caused by the measurement process, because atmospheric absorption and convolution in the spectrometer do not commute. Highly resolved spectral structures in the spectrum will first be modified by absorption and scattering processes in the atmosphere before they are recorded with a spectrometer, which convolves them with a specific instrument function. In the DOAS spectral evaluation process, however, the polynomial (or other function used for this purpose) accounting for broadband absorption is applied after the convolution is performed.In this paper, we derive that changing the order of the two modifications of the spectra leads to different results. Assuming typical geometries for the observations of scattered sunlight and a spectral resolution of 0.6 nm, this effect can be interpreted as a spectral shift of up to 1.5 pm, which is confirmed in the actual analysis of the ground-based measurements of scattered sunlight as well as in numerical radiative transfer simulations. If no spectral shift is allowed by the fitting routine, residual structures of up to 2.5 × 10 −3 peak-topeak are observed. Thus, this effect needs to be considered for DOAS applications aiming at an rms of the residual of 10 −3 and below.

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“…The tilt-effect was previously described and is explicitly corrected for by Sioris et al (2003Sioris et al ( , 2004; Haley et al (2004); Sioris et al (2006); Krecl et al (2006); McLinden and Haley (2008); McLinden et al (2010); Rozanov et al (2011) by including one additional tilt-effect pseudo absorber in the spectral analyses, whose magnitude was determined from the spectral fit. In their pioneering work, Sioris et al (2003) named this effect 'tilt-effect' and corrected its impact by including a correction spectrum calculated using a radiative transfer model in the spectral analysis.…”

Section: Introductionmentioning

confidence: 99%

The tilt-effect in DOAS observations

Lampel¹,

Wang²,

Hilboll³

et al. 2017

Preprint

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Experience of differential atmospheric absorption spectroscopy (DOAS) shows that a spectral shift between measurement and reference spectrum is frequently required in order to achieve optimal fit results, while the straight forward calculation of the optical density proves inferior. The shift is often attributed to temporal instabilities of the instrument, but implicitly solved the problem of the "tilt-effect" discussed/explained in this paper. Spectral positions of Fraunhofer and molecular absorption lines are systematically shifted for different measurement geometries due to an overall slope – or "tilt" – of the intensity spectrum. The phenomenon has become known as "tilt effect" for limb satellite observations, where it is corrected for in a first order approximation, whereas the remaining community is less aware of its cause and consequences. It is caused by the measurement process because atmospheric absorption and convolution in the spectrometer do not commute. Highly resolved spectral structures in the spectrum first will be modified by absorption and scattering processes in the atmosphere. before they are recorded with a spectrometer, which convolves it with a specific instrument function. In the DOAS spectral evaluation process, however, the polynomial (or other function used for this purpose) accounting for broadband absorption is applied after the convolution is performed. In this paper, we derive that changing the order of the two modifications of the spectra leads to different results. Assuming typical geometries for the observations of scattered sunlight and a spectral resolution of 0.6 nm, this effect can be interpreted as a spectral shift of up to 1.5 pm, which is confirmed in actual the analysis of the ground based measurements of scattered sunlight as well as in numerical radiative transfer simulations. If no spectral shift is allowed by the fitting routine, residual structures of up to 2.5 × 10−3 peak-to-peak are observed. Thus, this effect needs to be considered for DOAS application aiming at RMS of the residual of 10−3 and below

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Odin/OSIRIS observations of stratospheric NO<sub>3</sub> through sunrise and sunset

Cited by 6 publications

References 22 publications

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y

The tilt effect in DOAS observations

The tilt-effect in DOAS observations

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Odin/OSIRIS observations of stratospheric NO&lt;sub&gt;3&lt;/sub&gt; through sunrise and sunset

Cited by 6 publications

References 22 publications

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Bry

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Bry

The tilt effect in DOAS observations

The tilt-effect in DOAS observations

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Odin/OSIRIS observations of stratospheric NO<sub>3</sub> through sunrise and sunset

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y

Odin/OSIRIS observations of stratospheric BrO: Retrieval methodology, climatology, and inferred Br_y