Quality assessment of the Ozone-cci Climate Research Data Package (release 2017)-Part 1: Ground-based validation of total ozone column data products
| dc.contributor.author | Garane, K. | |
| dc.contributor.author | Lerot, C. | |
| dc.contributor.author | Coldewey-Egbers, M. | |
| dc.contributor.author | Verhoelst, T. | |
| dc.contributor.author | Koukouli, M.E. | |
| dc.contributor.author | Zyrichidou, I. | |
| dc.contributor.author | Balis, D.S. | |
| dc.contributor.author | Danckaert, T. | |
| dc.contributor.author | Goutail, F. | |
| dc.contributor.author | Granville, J. | |
| dc.contributor.author | Hubert, D. | |
| dc.contributor.author | Keppens, A. | |
| dc.contributor.author | Lambert, J.-C. | |
| dc.contributor.author | Loyola, D. | |
| dc.contributor.author | Pommereau, J.-P. | |
| dc.contributor.author | Van Roozendael, M. | |
| dc.contributor.author | Zehner, C. | |
| dc.date | 2018 | |
| dc.date.accessioned | 2018-03-26T09:43:17Z | |
| dc.date.available | 2018-03-26T09:43:17Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/6885 | |
| dc.description | 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. | |
| dc.language | eng | |
| dc.title | Quality assessment of the Ozone-cci Climate Research Data Package (release 2017)-Part 1: Ground-based validation of total ozone column data products | |
| dc.type | Article | |
| dc.subject.frascati | Earth and related Environmental sciences | |
| dc.audience | Scientific | |
| dc.source.title | Atmospheric Measurement Techniques | |
| dc.source.volume | 11 | |
| dc.source.issue | 3 | |
| dc.source.page | 1385-1402 | |
| Orfeo.peerreviewed | Yes | |
| dc.identifier.doi | 10.5194/amt-11-1385-2018 |
