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Journal Articles Atmospheric Measurement Techniques Year : 2016

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

1 BIRA-IASB - Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique
2 LACy - Laboratoire de l'Atmosphère et des Cyclones
3 LaMP - Laboratoire de Météorologie Physique
4 ISAS - Institute of Space and Atmospheric Studies [Saskatoon]
5 IFAC - Istituto di Fisica Applicata "Nello Carrara"
6 JPL - Jet Propulsion Laboratory
8 NRL - Naval Research Laboratory
9 ESRL - NOAA Earth System Research Laboratory
10 FMI - Finnish Meteorological Institute
11 IMF - DLR Institut für Methodik der Fernerkundung / DLR Remote Sensing Technology Institute
12 University of York [York, UK]
13 Department of Earth and Space Sciences [Göteborg]
14 KUT - Kochi University of Technology
15 NIES - National Institute for Environmental Studies
16 NIWA - National Institute of Water and Atmospheric Research [Lauder]
17 APS - Department of Atmospheric and Planetary Sciences [Hampton]
18 CEILAP - Centro de Investigaciones en Láseres y Aplicaciones [Buenos Aires]
19 IEK-8 - Institut für Energie- und Klimaforschung - Troposphäre
20 NILU - Norwegian Institute for Air Research
21 MOHp - Meteorologisches Observatorium Hohenpeißenberg
22 ECCC - Environment and Climate Change Canada
23 Payerne Aerological Station
24 RIVM - National Institute for Public Health and the Environment [Bilthoven]
25 GSFC - NASA Goddard Space Flight Center
26 USRA - Universities Space Research Association [Washington]
27 KNMI - Royal Netherlands Meteorological Institute
28 IRM - Institut Royal Météorologique de Belgique [Bruxelles] - Royal Meteorological Institute of Belgium
29 AWI - Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung = Alfred Wegener Institute for Polar and Marine Research = Institut Alfred-Wegener pour la recherche polaire et marine
30 Department of Chemistry [Waterloo]
31 Department of Physics [Toronto]
32 LaRC - NASA Langley Research Center [Hampton]
Sophie Godin-Beekmann
Erkki Kyrölä
  • Function : Author
  • PersonId : 981046
Thierry Leblanc
  • Function : Author
  • PersonId : 981408
Marion Marchand


The 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 make a systematic assessment of fourteen limb and occultation sounders that, together, provide more than three decades of global ozone profile measurements. In particular, we consider 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 harmonized and robust analysis of the comparisons against the ground-based ozonesonde and stratospheric ozone lidar networks. It allows us to investigate, from the ground up to the stratopause, the following main aspects of data quality: long-term stability, overall bias, and short-term variability, together with their dependence on geophysical parameters and profile representation. In addition, it permits us to quantify the overall consistency between the ozone profilers. Generally, we find that between 20–40 km, the satellite ozone measurement biases are smaller than ±5 %, the short-term variabilities are better than 5–12 % and the drifts are at most ±5 % decade−1 (and ±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 abundancies impede a more precise analysis. A few records deviate from the preceding general remarks, in part of the stratosphere; we identify 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 reflect 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.
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insu-01175649 , version 1 (19-06-2016)



Daan Hubert, Jean-Christpher Lambert, Tiji Verhoelst, José Granville, Arno Keppens, et al.. Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records. Atmospheric Measurement Techniques, 2016, 9 (6), pp.2497-2534. ⟨10.5194/amt-9-2497-2016⟩. ⟨insu-01175649⟩
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