Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor

In preparation of the TROPOMI/S5P launch in early 2017, a tropospheric ozone retrieval based on the convective cloud differential method was developed. For intensive tests we applied the algorithm to the total ozone columns and cloud data of the satellite instruments GOME, SCIAMACHY, OMI, GOME-2A an...

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Main Authors: K.-P. Heue, M. Coldewey-Egbers, A. Delcloo, C. Lerot, D. Loyola, P. Valks, M. van Roozendael
Format: Article
Language:English
Published: Copernicus Publications 2016-10-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/9/5037/2016/amt-9-5037-2016.pdf
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spelling doaj-fd1d1699c7944a568cdd34d92820543e2020-11-25T00:31:56ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482016-10-019105037505110.5194/amt-9-5037-2016Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 PrecursorK.-P. Heue0M. Coldewey-Egbers1A. Delcloo2C. Lerot3D. Loyola4P. Valks5M. van Roozendael6Deutsches Zentrum für Luft- und Raumfahrt, Münchener Str. 20, 82234 Oberpfaffenhofen, GermanyDeutsches Zentrum für Luft- und Raumfahrt, Münchener Str. 20, 82234 Oberpfaffenhofen, GermanyRoyal Meteorological Institute, Avenue Circulaire 3, 1180 Brussels, BelgiumRoyal Belgian Institute for Space Aeronomy, Ringlaan 3, 1180 Brussels, BelgiumDeutsches Zentrum für Luft- und Raumfahrt, Münchener Str. 20, 82234 Oberpfaffenhofen, GermanyDeutsches Zentrum für Luft- und Raumfahrt, Münchener Str. 20, 82234 Oberpfaffenhofen, GermanyRoyal Belgian Institute for Space Aeronomy, Ringlaan 3, 1180 Brussels, BelgiumIn preparation of the TROPOMI/S5P launch in early 2017, a tropospheric ozone retrieval based on the convective cloud differential method was developed. For intensive tests we applied the algorithm to the total ozone columns and cloud data of the satellite instruments GOME, SCIAMACHY, OMI, GOME-2A and GOME-2B. Thereby a time series of 20 years (1995–2015) of tropospheric column ozone was generated. To have a consistent total ozone data set for all sensors, one common retrieval algorithm, namely GODFITv3, was applied and the L1 reflectances were also soft calibrated. The total ozone columns and the cloud data were input into the tropospheric ozone retrieval. However, the tropical tropospheric column ozone (TCO) for the individual instruments still showed small differences and, therefore, we harmonised the data set. For this purpose, a multilinear function was fitted to the averaged difference between SCIAMACHY's TCO and those from the other sensors. The original TCO was corrected by the fitted offset. GOME-2B data were corrected relative to the harmonised data from OMI and GOME-2A. The harmonisation leads to a better agreement between the different instruments. Also, a direct comparison of the TCO in the overlapping periods proves that GOME-2A agrees much better with SCIAMACHY after the harmonisation. The improvements for OMI were small. <br><br> Based on the harmonised observations, we created a merged data product, containing the TCO from July 1995 to December 2015. A first application of this 20-year record is a trend analysis. The tropical trend is 0.7 ± 0.12 DU&thinsp;decade<sup>−1</sup>. Regionally the trends reach up to 1.8 DU&thinsp;decade<sup>−1</sup> like on the African Atlantic coast, while over the western Pacific the tropospheric ozone declined over the last 20 years with up to 0.8 DU&thinsp;decade<sup>−1</sup>. The tropical tropospheric data record will be extended in the future with the TROPOMI/S5P data, where the TCO is part of the operational products.http://www.atmos-meas-tech.net/9/5037/2016/amt-9-5037-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K.-P. Heue
M. Coldewey-Egbers
A. Delcloo
C. Lerot
D. Loyola
P. Valks
M. van Roozendael
spellingShingle K.-P. Heue
M. Coldewey-Egbers
A. Delcloo
C. Lerot
D. Loyola
P. Valks
M. van Roozendael
Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
Atmospheric Measurement Techniques
author_facet K.-P. Heue
M. Coldewey-Egbers
A. Delcloo
C. Lerot
D. Loyola
P. Valks
M. van Roozendael
author_sort K.-P. Heue
title Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
title_short Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
title_full Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
title_fullStr Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
title_full_unstemmed Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor
title_sort trends of tropical tropospheric ozone from 20 years of european satellite measurements and perspectives for the sentinel-5 precursor
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2016-10-01
description In preparation of the TROPOMI/S5P launch in early 2017, a tropospheric ozone retrieval based on the convective cloud differential method was developed. For intensive tests we applied the algorithm to the total ozone columns and cloud data of the satellite instruments GOME, SCIAMACHY, OMI, GOME-2A and GOME-2B. Thereby a time series of 20 years (1995–2015) of tropospheric column ozone was generated. To have a consistent total ozone data set for all sensors, one common retrieval algorithm, namely GODFITv3, was applied and the L1 reflectances were also soft calibrated. The total ozone columns and the cloud data were input into the tropospheric ozone retrieval. However, the tropical tropospheric column ozone (TCO) for the individual instruments still showed small differences and, therefore, we harmonised the data set. For this purpose, a multilinear function was fitted to the averaged difference between SCIAMACHY's TCO and those from the other sensors. The original TCO was corrected by the fitted offset. GOME-2B data were corrected relative to the harmonised data from OMI and GOME-2A. The harmonisation leads to a better agreement between the different instruments. Also, a direct comparison of the TCO in the overlapping periods proves that GOME-2A agrees much better with SCIAMACHY after the harmonisation. The improvements for OMI were small. <br><br> Based on the harmonised observations, we created a merged data product, containing the TCO from July 1995 to December 2015. A first application of this 20-year record is a trend analysis. The tropical trend is 0.7 ± 0.12 DU&thinsp;decade<sup>−1</sup>. Regionally the trends reach up to 1.8 DU&thinsp;decade<sup>−1</sup> like on the African Atlantic coast, while over the western Pacific the tropospheric ozone declined over the last 20 years with up to 0.8 DU&thinsp;decade<sup>−1</sup>. The tropical tropospheric data record will be extended in the future with the TROPOMI/S5P data, where the TCO is part of the operational products.
url http://www.atmos-meas-tech.net/9/5037/2016/amt-9-5037-2016.pdf
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