Preprints
https://doi.org/10.5194/amt-2022-116
https://doi.org/10.5194/amt-2022-116
 
08 Jun 2022
08 Jun 2022
Status: this preprint is currently under review for the journal AMT.

Assessment of the error budget for stratospheric ozone profiles retrieved from OMPS limb-scatter measurements

Carlo Arosio1, Alexei Rozanov1, Victor Gorshelev1, Alexandra Laeng2, and John P. Burrows1 Carlo Arosio et al.
  • 1University of Bremen, Institute of Environmental Physics, Bremen, Germany
  • 2Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany

Abstract. This study presents an error budget assessment for the ozone profiles retrieved at the University of Bremen from limb observations of the Ozone Mapper and Profiler Suite – Limb Profiler National Polar-orbiting Partnership (OMPS-LP NPP) satellite instrument. The presented error characterization intends to be complaint with the recommendations and the standardizing effort of the Towards Unified Error Reporting (TUNER) project. Besides the retrieval noise, contributions from retrieval parameters are extensively discussed and quantified by using synthetic retrievals performed with the SCIATRAN radiative transfer model. For this investigation, a representative set of OMPS-LP measurements is selected to provide a reliable estimation of the uncertainties as a function of latitude and season. Errors originating from model approximations and spectroscopic data are also taken into account and found to be non-negligible. Overall, we put effort to classify different error contributions as random or systematic, and investigate correlations between errors from different sources. After summing up the relevant error components, we present an estimate of the total random uncertainty on the retrieved ozone profiles, which is found to be in the 5–30 % range in the lower stratosphere, 3–5 % in the middle stratosphere and 5–7 % at upper altitudes. The systematic uncertainty is mainly related to cloud contamination and model errors in the lower stratosphere, and to the retrieval bias at higher altitudes, with total absolute values of about 5 % above 50 km and below 20 km. After computing the estimate of the overall random and systematic error components, we also provide an ex-post assessment of the uncertainties using self-collocated OMPS-LP observations and collocated Microwave Limb Sounder (MLS) data in a χ2 fashion.

Carlo Arosio et al.

Status: open (until 13 Jul 2022)

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Carlo Arosio et al.

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Short summary
This paper characterizes the uncertainties affecting the ozone profiles retrieved at the University of Bremen from OMPS limb satellite observations. An accurate knowledge of the uncertainties is relevant for the validation of the product and to correctly interpret the retrieval results. We investigate several sources of uncertainties, estimate a total random and systematic component, and verify the consistency of the combined OMPS-MLS total uncertainty.