Koukouli, M. and Balis, D. and Loyola, Diego and Valks, Pieter and Zimmer, Walter and Hao, Nan and Lambert, J.-C. and Van Roozendael, Michel and Lerot, C. and Spurr, Robert (2012) Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura. Atmospheric Measurement Techniques, 5 (5), pp. 2169-2181. Copernicus Publications. doi: 10.5194/amt-5-2169-2012. ISSN 1867-1381.
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Abstract
The main aim of the paper is to assess the consistency of five years of Global Ozone Monitoring Experiment-2/Metop-A [GOME-2] total ozone columns and the long-term total ozone satellite monitoring database already in existence through an extensive inter-comparison and validation exercise using as reference Brewer and Dobson ground-based measurements. The behaviour of the GOME-2 measurements is being weighed against that of GOME (1995–2011), Ozone Monitoring Experiment [OMI] (since 2004) and the Scanning Imaging Absorption spectroMeter for Atmospheric CartograpHY [SCIAMACHY] (since 2002) total ozone column products. Over the background truth of the ground-based measurements, the total ozone columns are inter-evaluated using a suite of established validation techniques; the GOME-2 time series follow the same patterns as those observed by the other satellite sensors. In particular, on average, GOME-2 data underestimate GOME data by about 0.80%, and underestimate SCIAMACHY data by 0.37% with no seasonal dependence of the differences between GOME-2, GOME and SCIAMACHY. The latter is expected since the three datasets are based on similar DOAS algorithms. This underestimation of GOME-2 is within the uncertainty of the reference data used in the comparisons. Compared to the OMI sensor, on average GOME-2 data underestimate OMI_DOAS (collection 3) data by 1.28%, without any significant seasonal dependence of the differences between them. The lack of seasonality might be expected since both the GOME data processor [GDP] 4.4 and OMI_DOAS are DOAS-type algorithms and both consider the variability of the stratospheric temperatures in their retrievals. Compared to the OMI_TOMS (collection 3) data, no bias was found. We hence conclude that the GOME-2 total ozone columns are well suitable to continue the long-term global total ozone record with the accuracy needed for climate monitoring studies.
Item URL in elib: | https://elib.dlr.de/93607/ | |||||||||||||||||||||||||||||||||
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Document Type: | Article | |||||||||||||||||||||||||||||||||
Title: | Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura | |||||||||||||||||||||||||||||||||
Authors: |
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Date: | 2012 | |||||||||||||||||||||||||||||||||
Journal or Publication Title: | Atmospheric Measurement Techniques | |||||||||||||||||||||||||||||||||
Refereed publication: | Yes | |||||||||||||||||||||||||||||||||
Open Access: | Yes | |||||||||||||||||||||||||||||||||
Gold Open Access: | Yes | |||||||||||||||||||||||||||||||||
In SCOPUS: | Yes | |||||||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | |||||||||||||||||||||||||||||||||
Volume: | 5 | |||||||||||||||||||||||||||||||||
DOI : | 10.5194/amt-5-2169-2012 | |||||||||||||||||||||||||||||||||
Page Range: | pp. 2169-2181 | |||||||||||||||||||||||||||||||||
Editors: |
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Publisher: | Copernicus Publications | |||||||||||||||||||||||||||||||||
ISSN: | 1867-1381 | |||||||||||||||||||||||||||||||||
Status: | Published | |||||||||||||||||||||||||||||||||
Keywords: | ozone, validation, satellite, GOME-2, GOME, SCIAMACHY, OMI | |||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||||||||||||||||||||||||||
HGF - Program: | Space | |||||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | |||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | |||||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | |||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Ozon-SAF (old) | |||||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | |||||||||||||||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors | |||||||||||||||||||||||||||||||||
Deposited By: | Valks, Dr. Pieter | |||||||||||||||||||||||||||||||||
Deposited On: | 12 Dec 2014 13:08 | |||||||||||||||||||||||||||||||||
Last Modified: | 02 May 2019 14:13 |
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