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Volume 7, issue 5 | Copyright

Special issue: Changes in the vertical distribution of ozone – the SI2N...

Atmos. Meas. Tech., 7, 1395-1427, 2014
https://doi.org/10.5194/amt-7-1395-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 May 2014

Research article | 21 May 2014

Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

B. Hassler1,2, I. Petropavlovskikh1,3, J. Staehelin4, T. August5, P. K. Bhartia6, C. Clerbaux7, D. Degenstein8, M. De Mazière9, B. M. Dinelli10, A. Dudhia11, G. Dufour12, S. M. Frith13, L. Froidevaux14, S. Godin-Beekmann15, J. Granville9, N. R. P. Harris16, K. Hoppel17, D. Hubert9, Y. Kasai18, M. J. Kurylo19, E. Kyrölä20, J.-C. Lambert9, P. F. Levelt21, C. T. McElroy22, R. D. McPeters6, R. Munro5, H. Nakajima23, A. Parrish24, P. Raspollini25, E. E. Remsberg26, K. H. Rosenlof2, A. Rozanov27, T. Sano28, Y. Sasano29, M. Shiotani28, H. G. J. Smit30, G. Stiller31, J. Tamminen20, D. W. Tarasick32, J. Urban33, R. J. van der A21, J. P. Veefkind21, C. Vigouroux9, T. von Clarmann31, C. von Savigny34, K. A. Walker35,36, M. Weber27, J. Wild37, and J. M. Zawodny26 B. Hassler et al.
  • 1CIRES, University of Colorado at Boulder, Boulder, Colorado, USA
  • 2NOAA/ESRL, Chemical Sciences Division, Boulder, Colorado, USA
  • 3NOAA/ESRL, Global Monitoring Division, Boulder, Colorado, USA
  • 4ETH-Zürich, Zürich, Switzerland
  • 5EUMETSAT, Darmstadt, Germany
  • 6NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 7UPMC Univ. Paris 06, Université Versailles St-Quentin, CNRS/INSU, LATMOS-IPSL, Paris, France
  • 8University of Saskatchewan, Saskatoon, Saskatchewan, Canada
  • 9Belgian Institute for Space Aeronomy (IASB-BIRA), Brussels, Belgium
  • 10ISAC-CNR, Bologna, Italy
  • 11AOPP, Physics Department, University of Oxford, Oxford, UK
  • 12LISA, UMR CNRS 7583, Université Paris-Est Créteil et Université Paris-Diderot, 27 Créteil, France
  • 13Science Systems and Applications, Inc., NASA GSFC, Greenbelt, Maryland, USA
  • 14Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
  • 15Observatoire de Versailles Saint-Quentin-en-Yvelines, Guyancourt Cedex, France
  • 16University of Cambridge, Chemistry Department, Cambridge, UK
  • 17Remote Sensing Division, Naval Research Laboratory, Washington, D.C., USA
  • 18National Institute of Information and Communications Technology, Tokyo, Japan
  • 19Universities Space Research Association, Goddard Earth Sciences, Technology, and Research, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 20Finnish Meteorological Institute, Earth Observation, Helsinki, Finland
  • 21Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
  • 22Department of Earth and Space Science and Engineering (Lassonde School of Engineering), York University, Toronto, Canada
  • 23National Institute for Environmental Studies, Tsukuba, Japan
  • 24Department of Astronomy, University of Massachusetts, Amherst, Massachusetts, USA
  • 25Istituto di Fisica Applicata "N. Carrara" (IFAC) del Consiglio Nazionale delle Ricerche (CNR), Florence, Italy
  • 26NASA Langley Research Center, Hampton, Virginia, USA
  • 27Institute of Environmental Physics Remote Sensing (IUP/IFE), University of Bremen, Bremen, Germany
  • 28Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan
  • 29Association of International Research Initiatives for Environmental Studies, Tokyo, Japan
  • 30Research Centre Jülich, Institute for Energy and Climate Research: Troposphere (IEK-8), Jülich, Germany
  • 31Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Karlsruhe, Germany
  • 32Environment Canada, Downsview, Ontario, Canada
  • 33Chalmers University of Technology, Department of Earth and Space Sciences, Göteborg, Sweden
  • 34Institut für Physik, Ernst-Moritz-Arndt-Universität Greifswald, Greifswald, Germany
  • 35Department of Physics, University of Toronto, Toronto, Ontario, Canada
  • 36Department of Chemistry, University of Waterloo, Waterloo, Ontario, Canada
  • 37Innovim, LLC, NOAA/NWS/NCEP/Climate Prediction Center, College Park, Maryland, USA

Abstract. Peak stratospheric chlorofluorocarbon (CFC) and other ozone depleting substance (ODS) concentrations were reached in the mid- to late 1990s. Detection and attribution of the expected recovery of the stratospheric ozone layer in an atmosphere with reduced ODSs as well as efforts to understand the evolution of stratospheric ozone in the presence of increasing greenhouse gases are key current research topics. These require a critical examination of the ozone changes with an accurate knowledge of the spatial (geographical and vertical) and temporal ozone response. For such an examination, it is vital that the quality of the measurements used be as high as possible and measurement uncertainties well quantified.

In preparation for the 2014 United Nations Environment Programme (UNEP)/World Meteorological Organization (WMO) Scientific Assessment of Ozone Depletion, the SPARC/IO3C/IGACO-O3/NDACC (SI2N) Initiative was designed to study and document changes in the global ozone profile distribution. This requires assessing long-term ozone profile data sets in regards to measurement stability and uncertainty characteristics. The ultimate goal is to establish suitability for estimating long-term ozone trends to contribute to ozone recovery studies. Some of the data sets have been improved as part of this initiative with updated versions now available.

This summary presents an overview of stratospheric ozone profile measurement data sets (ground and satellite based) available for ozone recovery studies. Here we document measurement techniques, spatial and temporal coverage, vertical resolution, native units and measurement uncertainties. In addition, the latest data versions are briefly described (including data version updates as well as detailing multiple retrievals when available for a given satellite instrument). Archive location information for each data set is also given.

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