Evaluation of GOME ozone profiles from nine different algorithms
Meijer, Yaskja and Swart, Daan and Baier, Frank and Bhartia, Pawan and Bodecker, Greg and Casadio, Stefano and Chance, Kelly and Del Frate, Fabio and Erbertseder, Thilo and Flynn, Lawrence and Godin-Beekmann, Sophie and Hansen, Georg and Hasekamp, Otto and Kaifel, Anton and Kelder, Hennie and Kerridge, Brian and Lambert, Jean-Christopher and Landgraf, Jochen and Latter, Berrie and Liu, Xoing and McDermid, Stuart and Müller, Martin and Pachepsky, Yakov and Rozanov, Vladimir and Siddans, Richard and Tellmann, Silvia and van der A, Ronald and van Oss, Roeland and Weber, Mark and Zehner, Claus (2005) Evaluation of GOME ozone profiles from nine different algorithms. Journal of Geophysical Research, 111 (D21). DOI: 10.1029/2005JD006778.
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Official URL: http://www.agu.org/journals/jd/
An evaluation is made of ozone profiles retrieved from measurements of the nadir-viewing Global Ozone Monitoring Experiment (GOME) instrument. Currently four different approaches are used to retrieve ozone profile information from GOME measurements, which differ in the use of external information and a priori constraints. In total nine different algorithms will be evaluated exploiting the Optimal Estimation (Royal Netherlands Meteorological Institute, Rutherford Appleton Laboratory, University of Bremen, National Oceanic and Atmospheric Administration, Smithsonian Astrophysical Observatory), Phillips-Tikhonov Regularization (Space Research Organization Netherlands), Neural Network (Center for Solar Energy and Hydrogen Research, Tor Vergata University), and Data Assimilation (German Aerospace Center) approaches. Analysis tools are used to interpret data sets that provide averaging kernels. In the interpretation of these data, the focus is on the vertical resolution, the indicative altitude of the retrieved value, and the fraction of a priori information. The evaluation is completed with a comparison of the results to lidar data from the NDSC (Network for Detection of Stratospheric Change) stations in Andoya (Norway), Observatoire Haute Provence (France), Mauna Loa (USA), Lauder (New Zealand) and Dumont d’Urville (Antarctic) for the years 1997–1999. In total the comparison involves nearly 1000 ozone profiles, and allows the analysis of GOME data measured in different global regions and hence observational circumstances. The main conclusion of this paper is that unambiguous information on the ozone profile can at best be retrieved in the altitude range 15–48 km with a vertical resolution of 10 to 15 km, precision of 5–10%, and a bias up to 5% or 20% depending on the success of recalibration of the input spectra. The sensitivity of retrievals to ozone at lower altitudes varies from scheme to scheme and includes significant influence from a priori assumptions.
|Title:||Evaluation of GOME ozone profiles from nine different algorithms|
|Journal or Publication Title:||Journal of Geophysical Research|
|In ISI Web of Science:||Yes|
|Keywords:||ozone profiles, GOME, validation, data assimilation, avaraging kernels|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Datenprodukte für Klima- und Atmosphärenanwendungen (old)|
|Institutes and Institutions:||German Remote Sensing Data Center|
|Deposited By:||Thilo Erbertseder|
|Deposited On:||07 Dec 2006|
|Last Modified:||14 Jan 2010 23:09|
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