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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
- 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.
- Subjects :
- Atmospheric Science
Meteorology
010504 meteorology & atmospheric sciences
Climate change
Context (language use)
010502 geochemistry & geophysics
01 natural sciences
7. Clean energy
esa-cci
Nadir
lcsh:TA170-171
Air quality index
0105 earth and related environmental sciences
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
validation
lcsh:TA715-787
lcsh:Earthwork. Foundations
Atmosphärenprozessoren
SCIAMACHY
Trace gas
lcsh:Environmental engineering
ozone
Lidar
13. Climate action
Climatology
Data quality
Environmental science
Subjects
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