Overview of the O3M SAF GOME-2 operational atmospheric composition and UV radiation data products and data availability

Hassinen, S.; Balis, D.; Bauer, H.; Begoin, M.; Delcloo, Andy; Eleftheratos, Kostas; García, Sebastián Gimeno; Granville, J.; Grossi, M.; Hao, Nan; Hedelt, Pascal; Hendrick, F.; Heß, Michael; Heue, Klaus-Peter; Hovila, Jari; Jonch-Sorensen, H.; Kalakoski, Niilo; Kiemle, Stephan; Kins, L.; Koukouli, Maria-Elissavet; Kujanpää, Jukka; Lambert, J. C.; Lerot, Christophe; Loyola, Diego; Määttä, A.; Pedergnana, Mattia; Pinardi, Gaia; Romahn, Fabian; Roozendaël, Michel Van; Lutz, Ronny; Smedt, Isabelle De; Stammes, P.; Steinbrecht, Wolfgang; Tamminen, J.; Theys, N.; Tilstra, L. G.; Tuinder, O. N. E.; Valks, Pieter; Zerefos, C. S.; Zimmer, Walter; Zyrichidou, I.

doi:10.5194/amtd-8-6993-2015

Cited by 3 publications

(2 citation statements)

References 60 publications

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“…We can also notice that the scatter in the differences is generally bigger for cloud-free measurements than for unfiltered data. The smaller number of data points due to the cloud selection translates as a larger root mean square error (RMSE) in the former case (see Grossi et al, 2013).…”

Section: Monthly Gome-2 Comparisonmentioning

confidence: 99%

Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B

Grossi¹,

Valks²,

Loyola³

et al. 2014

Preprint

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Abstract. The knowledge of the total column water vapour (TCWV) global distribution is fundamental for climate analysis and weather monitoring. In this work, we present the retrieval algorithm used to derive the operational TCWV from the GOME-2 sensors and perform an extensive inter-comparison and validation in order to estimate their absolute accuracy and long-term stability. We use the recently reprocessed data sets retrieved by the GOME-2 instruments aboard EUMETSAT's MetOp-A and MetOp-B satellites and generated by DLR in the framework of the O3M-SAF using the GOME Data Processor (GDP) version 4.7. The retrieval algorithm is based on a classical Differential Optical Absorption Spectroscopy (DOAS) method and combines H2O/O2 retrieval for the computation of the trace gas vertical column density. We introduce a further enhancement in the quality of the H2O column by optimizing the cloud screening and developing an empirical correction in order to eliminate the instrument scan angle dependencies. We evaluate the overall consistency between about 8 months measurements from the newer GOME-2 instrument on the MetOp-B platform with the GOME-2/MetOp-A data in the overlap period. Furthermore, we compare GOME-2 results with independent TCWV data from ECMWF and with SSMIS satellite measurements during the full period January 2007–August 2013 and we perform a validation against the combined SSM/I + MERIS satellite data set developed in the framework of the ESA DUE GlobVapour project. We find global mean biases as small as ± 0.03 g cm−2 between GOME-2A and all other data sets. The combined SSM/I-MERIS sample is typically drier than the GOME-2 retrievals (−0.005 g cm−2), while on average GOME-2 data overestimate the SSMIS measurements by only 0.028 g cm−2. However, the size of some of these biases are seasonally dependent. Monthly average differences can be as large as 0.1 g cm−2, based on the analysis against SSMIS measurements, but are not as evident in the validation with the ECMWF and the SSM/I + MERIS data. Studying two exemplary months, we estimate regional differences and identify a very good agreement between GOME-2 total columns and all three independent data sets, especially for land areas, although some discrepancies over ocean and over land areas with high humidity and a relatively large surface albedo are also present.

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Section: Monthly Gome-2 Comparisonmentioning

confidence: 99%

Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B

Grossi¹,

Valks²,

Loyola³

et al. 2014

Preprint

View full text Add to dashboard Cite

show abstract

“…The equator crossing local time is 09:30 a.m. for the descending node. The GOME-2 measurements are used to retrieve total ozone column and ozone profiles, surface UV radiation, aerosols and total columns of NO 2 , SO 2 , BrO, HCHO and H 2 O as well as tropospheric subcolumns of NO 2 and ozone (Hassinen et al, 2015;Munro et al, 2006).…”

Section: Gome-ozone Profilesmentioning

confidence: 99%

Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements

et al. 2016

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Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements

Määttä¹,

Tuinder²,

Tukiainen³

et al. 2015

Preprint

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Abstract. This paper presents a comparison of vertical ozone profiles retrieved by the Ozone ProfilE Retrieval Algorithm (OPERA) from the Global Ozone Monitoring Experiment 2 (GOME-2) measurements on board Metop-A with high-vertical-resolution ozone profiles by Global Ozone Monitoring by Occultation of Stars (GOMOS), Optical Spectrograph and Infrared Imager System (OSIRIS) and Microwave Limb Sounder (MLS). The comparison, with global coverage, focuses on the stratosphere and the lower mesosphere and covers the period from March 2008 until the end of 2011. The comparison shows an agreement of the GOME-2 ozone profiles with those of GOMOS, OSIRIS and MLS within ±15 % in the altitude range from 15 km up to ~ 35–40 km depending on latitude. The GOME-2 ozone profiles from non-degradation corrected radiances have a tendency to a systematic negative bias with respect to the reference data above ~ 30 km. The GOME-2 bias with respect to the high-vertical resolution instruments depends on season, with the strongest dependence observed at high latitudes.

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Overview of the O3M SAF GOME-2 operational atmospheric composition and UV radiation data products and data availability

Cited by 3 publications

References 60 publications

Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B

Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B

Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements

Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements

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