Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records

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dc.contributor.authorHubert, Daan
dc.contributor.authorLambert, Jean-Christopher
dc.contributor.authorVerhoelst, Tijl
dc.contributor.authorGranville, José
dc.contributor.authorKeppens, Arno
dc.contributor.authorBaray, Jean-Luc
dc.contributor.authorBourassa, Adam E.
dc.contributor.authorCortesi, Ugo
dc.contributor.authorDegenstein, Doug A.
dc.contributor.authorFroidevaux, Lucien
dc.contributor.authorGodin-Beekmann, Sophie
dc.contributor.authorHoppel, Karl W.
dc.contributor.authorJohnson, Bryan J.
dc.contributor.authorKyrölä, Erkki
dc.contributor.authorLeblanc, Thierry
dc.contributor.authorLichtenberg, Günter
dc.contributor.authorMarchand, Marion
dc.contributor.authorMcElroy, C. Thomas
dc.contributor.authorMurtagh, Donal
dc.contributor.authorNakane, Hideaki
dc.contributor.authorPortafaix, Thierry
dc.contributor.authorQuerel, Richard
dc.contributor.authorRussell III, James M.
dc.contributor.authorSalvador, Jacobo
dc.contributor.authorSmit, Herman G. J.
dc.contributor.authorStebel, Kerstin
dc.contributor.authorSteinbrecht, Wolfgang
dc.contributor.authorStrawbridge, Kevin B.
dc.contributor.authorStübi, René
dc.contributor.authorSwart, Daan P. J.
dc.contributor.authorTaha, Ghassan
dc.contributor.authorTarasick, David W.
dc.contributor.authorThompson, Anne M.
dc.contributor.authorUrban, Joachim
dc.contributor.authorvan Gijsel, Joanna A. E.
dc.contributor.authorVan Malderen, Roeland
dc.contributor.authorvon der Gathen, Peter
dc.contributor.authorWalker, Kaley A.
dc.contributor.authorWolfram, Elian
dc.contributor.authorZawodny, Joseph M.
dc.date.accessioned2024-06-20T17:32:06Z
dc.date.available2024-06-20T17:32:06Z
dc.date.issued2016-06-08
dc.description.abstractThe ozone profile records of a large number of limb and occultation satellite instruments are widely used to address several key questions in ozone research. Further progress in some domains depends on a more detailed understanding of these data sets, especially of their long-term stability and their mutual consistency. To this end, we made a systematic assessment of 14 limb and occultation sounders that, together, provide more than three decades of global ozone profile measurements. In particular, we considered the latest operational Level-2 records by SAGE II, SAGE III, HALOE, UARS MLS, Aura MLS, POAM II, POAM III, OSIRIS, SMR, GOMOS, MIPAS, SCIAMACHY, ACE-FTS and MAESTRO. Central to our work is a consistent and robust analysis of the comparisons against the ground-based ozonesonde and stratospheric ozone lidar networks. It allowed us to investigate, from the troposphere up to the stratopause, the following main aspects of satellite data quality: long-term stability, overall bias and short-term variability, together with their dependence on geophysical parameters and profile representation. In addition, it permitted us to quantify the overall consistency between the ozone profilers. Generally, we found that between 20 and 40 km the satellite ozone measurement biases are smaller than ±5 %, the short-term variabilities are less than 5–12 % and the drifts are at most ±5 % decade⁻¹ (or even ±3 % decade⁻¹ for a few records). The agreement with ground-based data degrades somewhat towards the stratopause and especially towards the tropopause where natural variability and low ozone abundances impede a more precise analysis. In part of the stratosphere a few records deviate from the preceding general conclusions; we identified biases of 10 % and more (POAM II and SCIAMACHY), markedly higher single-profile variability (SMR and SCIAMACHY) and significant long-term drifts (SCIAMACHY, OSIRIS, HALOE and possibly GOMOS and SMR as well). Furthermore, we reflected on the repercussions of our findings for the construction, analysis and interpretation of merged data records. Most notably, the discrepancies between several recent ozone profile trend assessments can be mostly explained by instrumental drift. This clearly demonstrates the need for systematic comprehensive multi-instrument comparison analyses.
dc.description.sponsorshipPart of this work was funded by ESA projects Multi-TASTE and VALID, by the EU under FP6 project GEOmon (FP6-2005-Global-4-036677), and by ESA’s CCI Ozone project. D. Hubert, A. Keppens and T. Verhoelst acknowledge national funding from the Belgian Science Policy Office (BELSPO) and ProDEx projects SECPEA and A3C. K. Stebel acknowledges funding from the ESA/ProDEx projects Ex Val (C90190, CN1-4, 2005-2011). J. A. E. van Gijsel and D. Swart acknowledge support from the Dutch Ministry of Infrastructure and Environment. Work performed at the Jet Propulsion Laboratory was done under contract with the National Aeronautics and Space Administration. We are also grateful to C. De Clercq, D. Pieroux and S. Vandenbussche for their valuable input. The ozonesonde and lidar data used in this publication were obtained as part of WMO’s Global Atmosphere Watch (GAW) and two of its main contributors, namely, the Network for the Detection of Atmospheric Composition Change (NDACC) and the Southern Hemisphere ADditional OZonesondes programme (SHADOZ). The authors acknowledge the meticulous and sustained work of the PIs and staff at ozonesonde and lidar stations to acquire and maintain long-term ozone data records of high quality. The data records are publicly available via the NDACC Data Host Facility (http://www.ndacc.org), the SHADOZ archive (http://croc.gsfc.nasa.gov/shadoz) and the World Ozone and Ultraviolet Data Centre (http://www.woudc.org). NDACC and SHADOZ are supported by meteorological services and space agencies from many countries, with archives funded by NASA and NOAA. We acknowledge the work by F. Posny, as PI of the ozonesonde observations at Réunion Island. The authors also thank the satellite science and processing teams and the contributing space agencies. Measurements from the SAGE and HALOE missions are provided and maintained through support from NASA’s Earth Science Division. The Atmospheric Chemistry Experiment (ACE), also known as SCISAT, is a Canadian-led mission mainly supported by the Canadian Space Agency and the Natural Sciences and Engineering Research Council of Canada. SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) is a joint contribution of Germany, The Netherlands and Belgium to ESA’s environmental satellite Envisat and is funded by the German (DLR) and Dutch (NSO) space agencies with Belgian contribution via BIRA-IASB. Sweden’s Odin satellite carries the atmospheric and astronomical missions OSIRIS and SMR, developed and funded jointly by the space agencies of Sweden, Canada, Finland and France. This work is dedicated to our much appreciated colleague J. Urban, who regrettably passed away.
dc.description.urihttps://amt.copernicus.org/articles/9/2497/2016/amt-9-2497-2016.html
dc.format.extent38 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2gyjm-z0rw
dc.identifier.citationHubert, Daan, Jean-Christopher Lambert, Tijl Verhoelst, José Granville, Arno Keppens, Jean-Luc Baray, Adam E. Bourassa, et al. “Ground-Based Assessment of the Bias and Long-Term Stability of 14 Limb and Occultation Ozone Profile Data Records.” Atmospheric Measurement Techniques 9, no. 6 (June 8, 2016): 2497–2534. https://doi.org/10.5194/amt-9-2497-2016.
dc.identifier.urihttps://doi.org/10.5194/amt-9-2497-2016
dc.identifier.urihttp://hdl.handle.net/11603/34738
dc.language.isoen_US
dc.publisherEGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleGround-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-7829-0920

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