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Quality assessment of the Ozone_cci Climate Research Data Package (release 2017): 1. Ground-based validation of total ozone column data products

Authors :
Claus Zehner
Brian Kerridge
Steven Compernolle
Michel Van Roozendael
Sophie Godin-Beekmann
Jacob C. A. van Peet
Jean-Christopher Lambert
Daan Hubert
Barry Latter
Dimitris Balis
Anne Boynard
Ronald van der A
Richard Siddans
Catherine Wespes
Juliette Hadji-Lazaro
Maria-Elissavet Koukouli
José Granville
René Stübi
Katerina Garane
Arno Keppens
Cathy Clerbaux
Rigel Kivi
Tijl Verhoelst
Daniel Hurtmans
Pierre-François Coheur
Andy Delcloo
Laboratory of Atmospheric Physics [Thessaloniki]
Aristotle University of Thessaloniki
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB)
DLR Institut für Methodik der Fernerkundung / DLR Remote Sensing Technology Institute (IMF)
Deutsches Zentrum für Luft- und Raumfahrt [Oberpfaffenhofen-Wessling] (DLR)
STRATO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)
European Space Research Institute (ESRIN)
European Space Agency (ESA)
Source :
Atmospheric Measurement Techniques, Vol 11, Pp 1385-1402 (2018), Atmospheric Measurement Techniques, Atmospheric Measurement Techniques, European Geosciences Union, 2018, 11, pp.1385-1402. ⟨10.5194/amt-11-1385-2018⟩
Publication Year :
2017
Publisher :
Copernicus GmbH, 2017.

Abstract

The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) is a Level-3 data record, which combines individual sensor products into one single cohesive record covering the 22 year period from 1995 to 2017, generated in the frame of the European Space Agency's Climate Change Initiative Phase-II. It is based on Level-2 total ozone data produced by the GODFIT v4 algorithm as applied to the GOME/ERS-2, OMI/Aura, SCIAMACHY/Envisat and GOME-2/MetopA and /MetopB observations. In this paper we examine whether GTO-ECV meets the specific requirements set by the international climate-chemistry modelling community for decadal stability, long-term and short term accuracy. In the following, we present the validation of the 2017 release of the Climate Research Data Package Total Ozone Column (CRDP TOC), both at Level-2 and Level-3. The individual Level-2 data sets show excellent inter-sensor consistency with mean differences generally within 0.5 % at moderate latitudes (±50°), whereas the Level-3 data sets show mean differences with respect to the OMI reference data record that span between −0.2 ± 0.9 % (for GOME-2B) and 1.0 ± 1.4&htinsp;% (for SCIAMACHY). Very similar findings are reported for the Level-2 validation against independent ground-based TOC observations reported by Brewer, Dobson and SAOZ instruments; the mean bias between GODFIT v4 satellite TOC and ground instrument is well within 1.0 ± 1.0 % for all sensors, the drift per decade spans between −0.5 % to 1.0 ± 1.0 % depending on the sensor, and the peak-to-peak seasonality of the differences ranges between ~ 1 % for GOME and OMI, to ~ 2 % for SCIAMACHY. For the Level-3 validation, as a first step the aim was to show that the Level-3 CRDP produces consistent findings as the Level-2 individual sensor comparisons. We show an excellent agreement with 0.5 to 2 % peak-to-peak amplitude for the monthly mean difference time series and a negligible drift per decade in the Northern Hemisphere differences at −0.11 ± 0.10 % per decade for Dobson and +0.22 ± 0.08 % per decade for Brewer collocations. The exceptional quality of the Level-3 GTO-ECV v3 TOC record temporal stability well satisfies the requirements for the total ozone measurement decadal stability of between 1–3 % and the short term and long-term accuracy requirements of 2 % and 3 % respectively, showing an excellent inter-sensor consistency both in the Level-2 GODFIT v4 as well as in the Level-3 GTO-ECV v3 datasets and thus can be used for longer term analysis of the ozone layer, such as decadal trend studies, chemistry-climate model evaluation and data assimilation applications.

Details

ISSN :
18671381 and 18678548
Database :
OpenAIRE
Journal :
Atmospheric Measurement Techniques, Vol 11, Pp 1385-1402 (2018), Atmospheric Measurement Techniques, Atmospheric Measurement Techniques, European Geosciences Union, 2018, 11, pp.1385-1402. ⟨10.5194/amt-11-1385-2018⟩
Accession number :
edsair.doi.dedup.....12310fc1a642b164a42f7527a4378d80