Description and sensitivity analysis of a limb scattering ozone retrieval algorithm

Loughman, Robert; Flittner, D. E.; Herman, Benjamin M.; Bhartia, P. K.; Hilsenrath, E.; McPeters, Richard D.

doi:10.1029/2004jd005429

Cited by 38 publications

(44 citation statements)

References 55 publications

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“…Loughman et al, 2005) and those results, e.g. the effects of albedo, aerosol, pointing, etc., are also valid for the SaskMART inversion technique and need not be repeated here.…”

Section: A Note On the Error Analysismentioning

confidence: 99%

Limb scatter ozone retrieval from 10 to 60 km using a multiplicative algebraic reconstruction technique

Degenstein¹,

Bourassa

Roth³

et al. 2009

Atmos. Chem. Phys.

109

107

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Abstract. The OSIRIS instrument onboard the Odin spacecraft routinely measures vertical profiles of spectrally dispersed, limb scattered sunlight from the upper troposphere into the lower mesosphere. These measurements are used to retrieve the ozone number density vertical profile using the SaskMART Multiplicative Algebraic Reconstruction Technique, which is a one dimensional modification of an existing two-dimensional tomographic retrieval algorithm. The retrieved profile extends from the cloud top to 60 km. In the absence of clouds the retrieval extends down to 10 km. This technique allows for the consistent merging of the absorption information from radiance measurements at wavelengths in the Chappuis and the Hartley-Huggins bands at each iteration of the inversion. The effectiveness of the retrieval is demonstrated using a set of coincident SAGE II occultation measurements that show a mean bias of less than 2% from 18 to 53 km.

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“…Loughman et al, 2005) and those results, e.g. the effects of albedo, aerosol, pointing, etc., are also valid for the SaskMART inversion technique and need not be repeated here.…”

Section: A Note On the Error Analysismentioning

confidence: 99%

Limb scatter ozone retrieval from 10 to 60 km using a multiplicative algebraic reconstruction technique

Degenstein¹,

Bourassa

Roth³

et al. 2009

Atmos. Chem. Phys.

109

107

View full text Add to dashboard Cite

show abstract

“…SCIAMACHY limb products include vertical profiles of ozone, NO 2 , BrO, H 2 O, and OClO, as well as polar stratospheric and noctilucent clouds. A fairly good estimate of the aerosol extinction profile is critical to the retrieval accuracy of stratospheric minor constituent profiles, mainly in the Upper Troposphere-Lower Stratosphere (UT/LS) region, as shown by Loughman et al (2005) and Rault and Taha (2007). For this study SCIAMACHY Level 1 version 6.03 data are used, that includes an improved tangent height registration compared to the lower Level 1 versions used by von Savigny et al (2005).…”

Section: Sciamachy Datasetmentioning

confidence: 99%

SCIAMACHY stratospheric aerosol extinction profile retrieval using the OMPS/LP algorithm

et al. 2011

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Abstract. The Ozone Mapper and Profiler Suite, Limp Profiler (OMPS/LP) algorithm is used to retrieve ozone concentration and aerosol extinction profiles using a series of 120 SCIAMACHY limb measurements collocated with SAGE II solar occultation events. The primary goal of the study is to ascertain the capability of the OMPS/LP retrieval algorithm to accurately retrieve the vertical distribution of stratospheric aerosol extinction coefficient so as to better account for aerosol effects in the ozone profiling retrieval process. Using simulated radiances, we show that the aerosol extinction coefficient can be retrieved from limb scatter measurements within 5% and a standard deviation better than 15%, which is more than sufficient to improve the OMPS/LP ozone products to be used as Environmental Data Records. We also illustrate the ability of SCIAMACHY limb measurements to retrieve stratospheric aerosol extinction profiles with accuracy comparable to other instruments. The retrieved aerosol extinction profiles agree with collocated SAGE II measurements on average to within 25%, with a standard deviation of 35%.

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“…The Gauss-Seidel limb scattering (GSLS) radiative transfer model is used (Herman et al, 1994;Loughman et al, 2005;Loughman et al, 2015) to simulate limb-scattered radiances. The Bass and Paur (Bass and Paur, 1985) ozone cross-sections are used in the LP algorithm.…”

Section: Omps Lp Ozone Retrieval Algorithm Adjustments 15mentioning

confidence: 99%

Validation of ozone profile retrievals derived from the OMPS LP version 2.5 algorithm against correlative satellite measurements

Kramarova¹,

Bhartia²,

Jaross³

et al. 2017

Preprint

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Abstract. The Limb Profiler (LP) is a part of the Ozone Mapping and Profiler Suite launched on board of the Suomi NPPsatellite in October 2011. The LP measures solar radiation scattered from the atmospheric limb in ultraviolet and visible spectral ranges between the surface and 80 km. These measurements of scattered solar radiances allow for the retrieval of 15 ozone profiles from cloud tops up to 55 km. The LP started operational observations in April 2012. In this study we evaluate more than 5.5 years of ozone profile measurements from the OMPS LP processed with the new NASA GSFC version 2.5 retrieval algorithm. We provide a brief description of the key changes that had been implemented in this new algorithm, including a pointing correction, new cloud height detection, explicit aerosol correction, and a reduction of the number of wavelengths used in the retrievals. The OMPS LP ozone retrievals have been compared with independent satellite profile 20 measurements obtained from the Aura Microwave Limb Sounder (MLS), Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) and Odin Optical Spectrograph and InfraRed Imaging System (OSIRIS). We document observed biases, seasonal differences and evaluate the stability of the version 2.5 ozone record over 5.5 years. Our analysis indicates that the mean differences between LP and correlative measurements are well within required ±10% between 18 and 42 km. In the upper stratosphere and lower mesosphere (>43 km) LP tends to have a negative bias. We find larger biases in 25 the lower stratosphere and upper troposphere, but LP ozone retrievals has significantly improved in version 2.5 compared to version 2 due to the implemented aerosol correction. In the northern high latitudes we observe larger biases between 20 and 32 km due to the remaining thermal sensitivity issue. Our analysis shows that LP ozone retrievals agree well with the correlative satellite observations in characterizing vertical, spatial and temporal ozone distribution associated with natural processes, like the seasonal cycle and Quasi Biennial Oscillations. We found a small positive drift ~0.5%/yr in the LP ozone 30 record against MLS and OSIRIS that is more pronounced at altitudes above 35 km. This pattern in the relative drift is consistent with a possible 100-meter drift in the LP sensor pointing detected by one of our altitude resolving methods.Atmos. Meas. Tech. Discuss., https://doi

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Description and sensitivity analysis of a limb scattering ozone retrieval algorithm

Cited by 38 publications

References 55 publications

Limb scatter ozone retrieval from 10 to 60 km using a multiplicative algebraic reconstruction technique

Limb scatter ozone retrieval from 10 to 60 km using a multiplicative algebraic reconstruction technique

SCIAMACHY stratospheric aerosol extinction profile retrieval using the OMPS/LP algorithm

Validation of ozone profile retrievals derived from the OMPS LP version 2.5 algorithm against correlative satellite measurements

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