Abstract
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 2016, 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 (GOME-type Direct FITting) v4 algorithm as applied to the GOME/ERS-2, OMI/Aura, SCIAMACHY/Envisat and GOME-2/Metop-A and Metop-B 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) at both level 2 and level 3. The inter-sensor consistency of the individual level-2 data sets has 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 % (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 the ground instrument is well within 1.0 ± 1.0 % for all sensors, the drift per decade spans between −0.5 % and 1.0 ± 1.0 % depending on the sensor, and the peak-to-peak seasonality of the differences ranges from ∼ 1 % for GOME and OMI to ∼ 2 % for SCIAMACHY. For the level-3 validation, our first goal was to show that the level-3 CRDP produces findings consistent with the level-2 individual sensor comparisons. We show a very good agreement with 0.5 to 2 % peak-to-peak amplitude for the monthly mean difference time series and a negligible drift per decade of the differences in the Northern Hemisphere of −0.11 ± 0.10 % decade−1 for Dobson and +0.22 ± 0.08 % decade−1 for Brewer collocations. The exceptional quality of the level-3 GTO-ECV v3 TOC record temporal stability satisfies well the requirements for the total ozone measurement decadal stability of 1–3 % and the short-term and long-term accuracy requirements of 2 and 3 %, respectively, showing a remarkable inter-sensor consistency, both in the level-2 GODFIT v4 and 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.
Highlights
The European Space Agency’s Climate Change Initiative (ESA-CCI) phases I and II focused on building consolidated climate-relevant ozone data sets as essential climate variables (ECVs)
During Phase II, existing state-of-the-art ozone retrieval algorithms were further developed and applied to long time series of observations from all relevant ESA atmospheric chemistry sensors, with the aim to generate wellcharacterized and validated ozone data products that meet as closely as possible the requirements formulated by the Global Climate Observing System (GCOS) and the Climate Modelling User Group (CMUG) climate modelling community for ozone column and profile ECVs
The validation of the new level-3 GOME-type Total Ozone Essential Climate Variable (GTO-ECV) v3 merged product was performed using as ground truth the Brewer and Dobson spectrophotometer network described in Sect. 2.2, as was applied in the validation of the previous level-3 record (Coldewey-Egbers et al, 2015)
Summary
The European Space Agency’s Climate Change Initiative (ESA-CCI) phases I and II focused on building consolidated climate-relevant ozone data sets as essential climate variables (ECVs). Earth observation science teams consisting of leading experts from European ozone sensing communities were gathered in a single project working towards common objectives defined against requirements formulated by the scientific user community This resulted in new synergies, exchanges of ideas and overall significant progress in terms of data harmonization and understanding of quality issues at level 1, level 2 and level 3.
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