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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

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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Official URL: http://www.atmos-meas-tech.net/5/2169/2012/amt-5-2169-2012.html

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/
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:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koukouli, M.AUTHUNSPECIFIED
Balis, D.AUTHUNSPECIFIED
Loyola, DiegoDLR-IMFUNSPECIFIED
Valks, PieterDLR-IMFUNSPECIFIED
Zimmer, WalterDLR-IMFUNSPECIFIED
Hao, NanDLR-IMFUNSPECIFIED
Lambert, J.-C.BIRAUNSPECIFIED
Van Roozendael, MichelBIRA-IASBUNSPECIFIED
Lerot, C.BIRAUNSPECIFIED
Spurr, RobertRT SolutionsUNSPECIFIED
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:
EditorsEmail
Wagner, Thomasthomas.wagner@mpic.de
Harder, Hartwighartwig.harder@mpic.de
Joiner, Joannajoanna.joiner@nasa.gov
Laj, Paololaj@lgge.obs.ujf-grenoble.fr
Richter, Andreasandreas.richter@iup.physik.uni-bremen.de
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 - Erdbeobachtung
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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