Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 3.089 IF 3.089
  • IF 5-year<br/> value: 3.700 IF 5-year
    3.700
  • CiteScore<br/> value: 3.59 CiteScore
    3.59
  • SNIP value: 1.273 SNIP 1.273
  • SJR value: 2.026 SJR 2.026
  • IPP value: 3.082 IPP 3.082
  • h5-index value: 45 h5-index 45
https://doi.org/10.5194/amt-2017-301
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
22 Aug 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
Retrieval of ozone profiles from OMPS limb scattering observations
Carlo Arosio1, Alexei Rozanov1, Elizaveta Malinina1, Kai-Uwe Eichmann1, Thomas von Clarmann2, and John P. Burrows1 1Insitute of Environmental Physics, University of Bremen, Bremen, Germany
2Karlsruhe Institute of Technology, Karlsruhe, Germany
Abstract. This study describes a retrieval algorithm developed at the University of Bremen to retrieve vertical profiles of ozone from limb observations performed by the Ozone Mapper and Profiler Suite (OMPS). This algorithm was originally developed for use with data from the SCIAMACHY instrument. As both instruments make limb measurements of the scattered solar radiation in the ultraviolet and visible spectral range, an overarching objective of the study is to facilitate the provision of consolidated and consistent ozone profiles from the two satellites and to produce a combined data set. The optimization of the retrieval algorithm for OMPS takes into account the instrument-specific spectral coverage by exploiting information from spectral windows in the Hartley, Huggins and Chappuis ozone absorption bands. Thereby, ozone concentrations in the 12–60 km altitude range can be retrieved. Observations at altitudes where the measurements are contaminated by clouds are rejected by applying a cloud filter. An independent aerosol retrieval is performed beforehand and its results are used to account for the aerosol load in the stratosphere during the ozone retrieval. Results for seven months of data (July 2016–January 2017) are compared and validated against independent data sets from both satellite-based and balloon-borne measurements, indicating a good agreement. Between 20 and 50 km, the OMPS ozone profiles typically agree with the MLS v4.2 results within 5–10 %, with the exception of high northern latitudes (> 70° N above 40 km) and the tropical lower stratosphere. The comparison of OMPS profiles with those from ozonesondes shows an agreement within ±5 % between 14 and 30 km at northern mid-latitudes. At southern mid-latitudes, an agreement within 5–10 % is achieved, although these results are less reliable because of a limited number of available coincidences. An unexpected bias of approximately 10 % is detected in the tropical region at all altitudes. The processing of the 2013 data set using the same retrieval settings and its validation against ozonesondes reveals a much smaller bias; possible reasons are under investigation.

Citation: Arosio, C., Rozanov, A., Malinina, E., Eichmann, K.-U., von Clarmann, T., and Burrows, J. P.: Retrieval of ozone profiles from OMPS limb scattering observations, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-301, in review, 2017.
Carlo Arosio et al.
Carlo Arosio et al.
Carlo Arosio et al.

Viewed

Total article views: 235 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
173 56 6 235 3 3

Views and downloads (calculated since 22 Aug 2017)

Cumulative views and downloads (calculated since 22 Aug 2017)

Viewed (geographical distribution)

Total article views: 235 (including HTML, PDF, and XML)

Thereof 233 with geography defined and 2 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 19 Oct 2017
Publications Copernicus
Download
Short summary
This paper describes the developement of an algorithm at the University of Bremen to infer stratospheric profiles of ozone from observations performed by the OMPS satellite instrument. An overarching objective is the merging of the OMPS data set with the SCIAMACHY one to obtain a long-term consistent time series and study stratospheric ozone trends. Comparing the results with independent satellite and ground-based measurements, a good agreement is generally found and deviations are discussed.
This paper describes the developement of an algorithm at the University of Bremen to infer...
Share