Evaluation of GOME ozone profiles from nine different algorithms
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 an...
Published in: | Journal of Geophysical Research |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Other Authors: | |
Format: | Other Non-Article Part of Journal/Newspaper |
Language: | unknown |
Published: |
2005
|
Subjects: | |
Online Access: | http://elib.dlr.de/44306/ http://www.agu.org/journals/jd/ |
id |
ftdlr:oai:elib.dlr.de:44306 |
---|---|
record_format |
openpolar |
spelling |
ftdlr:oai:elib.dlr.de:44306 2023-05-15T13:55:49+02:00 Evaluation of GOME ozone profiles from nine different algorithms Meijer, Yaskja Swart, Daan Baier, Frank Bhartia, Pawan Bodecker, Greg Casadio, Stefano Chance, Kelly Del Frate, Fabio Erbertseder, Thilo Flynn, Lawrence Godin-Beekmann, Sophie Hansen, Georg Hasekamp, Otto Kaifel, Anton Kelder, Hennie Kerridge, Brian Lambert, Jean-Christopher Landgraf, Jochen Latter, Berrie Liu, Xoing McDermid, Stuart Müller, Martin Pachepsky, Yakov Rozanov, Vladimir Siddans, Richard Tellmann, Silvia van der A, Ronald van Oss, Roeland Weber, Mark Zehner, Claus American Geophysical Union 2005 http://elib.dlr.de/44306/ http://www.agu.org/journals/jd/ unknown Meijer, Yaskja und Swart, Daan und Baier, Frank und Bhartia, Pawan und Bodecker, Greg und Casadio, Stefano und Chance, Kelly und Del Frate, Fabio und Erbertseder, Thilo und Flynn, Lawrence und Godin-Beekmann, Sophie und Hansen, Georg und Hasekamp, Otto und Kaifel, Anton und Kelder, Hennie und Kerridge, Brian und Lambert, Jean-Christopher und Landgraf, Jochen und Latter, Berrie und Liu, Xoing und McDermid, Stuart und Müller, Martin und Pachepsky, Yakov und Rozanov, Vladimir und Siddans, Richard und Tellmann, Silvia und van der A, Ronald und van Oss, Roeland und Weber, Mark und Zehner, Claus (2005) Evaluation of GOME ozone profiles from nine different algorithms. Journal of Geophysical Research, 111 (D21). DOI:10.1029/2005JD006778. Deutsches Fernerkundungsdatenzentrum Zeitschriftenbeitrag PeerReviewed 2005 ftdlr https://doi.org/10.1029/2005JD006778 2016-03-28T20:36:44Z 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. Other Non-Article Part of Journal/Newspaper Antarc* Antarctic German Aerospace Center: elib - DLR electronic library Antarctic Norway New Zealand Dumont d’Urville ENVELOPE(140.000,140.000,-66.667,-66.667) Journal of Geophysical Research 111 D21 |
institution |
Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
unknown |
topic |
Deutsches Fernerkundungsdatenzentrum |
spellingShingle |
Deutsches Fernerkundungsdatenzentrum Meijer, Yaskja Swart, Daan Baier, Frank Bhartia, Pawan Bodecker, Greg Casadio, Stefano Chance, Kelly Del Frate, Fabio Erbertseder, Thilo Flynn, Lawrence Godin-Beekmann, Sophie Hansen, Georg Hasekamp, Otto Kaifel, Anton Kelder, Hennie Kerridge, Brian Lambert, Jean-Christopher Landgraf, Jochen Latter, Berrie Liu, Xoing McDermid, Stuart Müller, Martin Pachepsky, Yakov Rozanov, Vladimir Siddans, Richard Tellmann, Silvia van der A, Ronald van Oss, Roeland Weber, Mark Zehner, Claus Evaluation of GOME ozone profiles from nine different algorithms |
topic_facet |
Deutsches Fernerkundungsdatenzentrum |
description |
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. |
author2 |
American Geophysical Union |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Meijer, Yaskja Swart, Daan Baier, Frank Bhartia, Pawan Bodecker, Greg Casadio, Stefano Chance, Kelly Del Frate, Fabio Erbertseder, Thilo Flynn, Lawrence Godin-Beekmann, Sophie Hansen, Georg Hasekamp, Otto Kaifel, Anton Kelder, Hennie Kerridge, Brian Lambert, Jean-Christopher Landgraf, Jochen Latter, Berrie Liu, Xoing McDermid, Stuart Müller, Martin Pachepsky, Yakov Rozanov, Vladimir Siddans, Richard Tellmann, Silvia van der A, Ronald van Oss, Roeland Weber, Mark Zehner, Claus |
author_facet |
Meijer, Yaskja Swart, Daan Baier, Frank Bhartia, Pawan Bodecker, Greg Casadio, Stefano Chance, Kelly Del Frate, Fabio Erbertseder, Thilo Flynn, Lawrence Godin-Beekmann, Sophie Hansen, Georg Hasekamp, Otto Kaifel, Anton Kelder, Hennie Kerridge, Brian Lambert, Jean-Christopher Landgraf, Jochen Latter, Berrie Liu, Xoing McDermid, Stuart Müller, Martin Pachepsky, Yakov Rozanov, Vladimir Siddans, Richard Tellmann, Silvia van der A, Ronald van Oss, Roeland Weber, Mark Zehner, Claus |
author_sort |
Meijer, Yaskja |
title |
Evaluation of GOME ozone profiles from nine different algorithms |
title_short |
Evaluation of GOME ozone profiles from nine different algorithms |
title_full |
Evaluation of GOME ozone profiles from nine different algorithms |
title_fullStr |
Evaluation of GOME ozone profiles from nine different algorithms |
title_full_unstemmed |
Evaluation of GOME ozone profiles from nine different algorithms |
title_sort |
evaluation of gome ozone profiles from nine different algorithms |
publishDate |
2005 |
url |
http://elib.dlr.de/44306/ http://www.agu.org/journals/jd/ |
long_lat |
ENVELOPE(140.000,140.000,-66.667,-66.667) |
geographic |
Antarctic Norway New Zealand Dumont d’Urville |
geographic_facet |
Antarctic Norway New Zealand Dumont d’Urville |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
Meijer, Yaskja und Swart, Daan und Baier, Frank und Bhartia, Pawan und Bodecker, Greg und Casadio, Stefano und Chance, Kelly und Del Frate, Fabio und Erbertseder, Thilo und Flynn, Lawrence und Godin-Beekmann, Sophie und Hansen, Georg und Hasekamp, Otto und Kaifel, Anton und Kelder, Hennie und Kerridge, Brian und Lambert, Jean-Christopher und Landgraf, Jochen und Latter, Berrie und Liu, Xoing und McDermid, Stuart und Müller, Martin und Pachepsky, Yakov und Rozanov, Vladimir und Siddans, Richard und Tellmann, Silvia und van der A, Ronald und van Oss, Roeland und Weber, Mark und Zehner, Claus (2005) Evaluation of GOME ozone profiles from nine different algorithms. Journal of Geophysical Research, 111 (D21). DOI:10.1029/2005JD006778. |
op_doi |
https://doi.org/10.1029/2005JD006778 |
container_title |
Journal of Geophysical Research |
container_volume |
111 |
container_issue |
D21 |
_version_ |
1766262722816638976 |