Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval

Rodriguez, Delphy; Thomas, Werner; Livschitz, Y.; Ruppert, Thomas; Albert, P.; Hollmann, Rainer

doi:10.1109/tgrs.2007.901043

Cited by 79 publications

(33 citation statements)

References 38 publications

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“…Because for the SO 2 concentrations at Wuxi mostly anthropogenic pollution is relevant, only the SO 2 product corresponding to the central height of 2.5 km is included in the validation study. The cloud information is obtained from GOME-2 measurements by the OCRA and ROCINN algorithms (Loyola et al, 2007) based on oxygen A-band observations at around 760 nm. The second product is provided by BIRA using the same retrieval algorithm as for the OMI BIRA SO 2 product, referred to as "GOME-2A BIRA".…”

Section: Max-doas Instrument and Data Analysismentioning

confidence: 99%

Validation of OMI, GOME-2A and GOME-2B tropospheric NO2, SO2 and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

et al. 2017

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Abstract. Tropospheric vertical column densities (VCDs) of NO 2 , SO 2 and HCHO derived from the Ozone Monitoring Instrument (OMI) on AURA and the Global Ozone Monitoring Experiment 2 aboard METOP-A (GOME-2A) and METOP-B (GOME-2B) are widely used to characterize the global distributions, trends and dominating sources of these trace gases. They are also useful for the comparison with chemical transport models (CTMs). We use tropospheric VCDs and vertical profiles of NO 2 , SO 2 and HCHO derived from MAX-DOAS measurements from 2011 to 2014 in Wuxi, China, to validate the corresponding products (daily and bi-monthly-averaged data) derived from OMI and GOME-2A/B by different scientific teams. Prior to the comparison, the spatial and temporal coincidence criteria for MAX-DOAS and satellite data are determined by a sensitivity study using different spatial and temporal averaging conditions. Cloud effects on both MAX-DOAS and satellite observations are also investigated. Our results indicate that the discrepancies between satellite and MAX-DOAS results increase with increasing effective cloud fraction and are dominated by the effects of clouds on the satellite products. In comparison with MAX-DOAS, we found a systematic underestimation of all SO 2 (40 to 57 %) and HCHO products (about 20 %), and an overestimation of the GOME-2A/B NO 2 products (about 30 %), but good consistency with the DOMINO version 2 NO 2 product. To better understand the reasons for these differences, we evaluated the a priori profile shapes used in the OMI retrievals (derived from CTM) by comparison with those derived from the MAX-DOAS observations. Significant differences are found for the SO 2 and HCHO profile shapes derived from the IMAGES model, whereas on average good agreement is found for the NO 2 profile shapes derived from the TM4 model. We also applied the MAX-DOAS profile shapes to the satellite rePublished by Copernicus Publications on behalf of the European Geosciences Union. 5008 Y. Wang et al.: Validation of OMI, GOME-2A and GOME-2B tropospheric NO 2 , SO 2 and HCHO products trievals and found that these modified satellite VCDs agree better with the MAX-DOAS VCDs than the VCDs from the original data sets by up to 10, 47 and 35 % for NO 2 , SO 2 and HCHO, respectively. Furthermore, we investigated the effect of aerosols on the satellite retrievals. For OMI observations of NO 2 , a systematic underestimation is found for large AOD, which is mainly attributed to effect of the aerosols on the cloud retrieval and the subsequent application of a cloud correction scheme (implicit aerosol correction). In contrast, the effect of aerosols on the clear-sky air mass factor (explicit aerosol correction) has a smaller effect. For SO 2 and HCHO observations selected in the same way, no clear aerosol effect is found, probably because for the considered data sets no cloud correction is applied (and also because of the larger scatter). From our findings we conclude that for satellite observations with cloud top pressure (CTP) > 900 hPa and effective ...

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Section: Max-doas Instrument and Data Analysismentioning

confidence: 99%

Validation of OMI, GOME-2A and GOME-2B tropospheric NO2, SO2 and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

et al. 2017

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“…The cloud parameters retrieved from OCRA and ROCINN have been validated and verified by comparing with other measurements (Loyola et al, 2007) and other cloud algorithms (Richter, 2015). To reduce the impact of the instrument degradation, the degradation correction factors have been implemented in both the OCRA and ROCINN algorithms (Lutz et al, 2015).…”

Section: Total Ozone Columnmentioning

confidence: 93%

“…Furthermore, a cloud correction is applied in the vertical column retrieval for (partially) cloudy scenes. Cloud parameters are retrieved from GOME-2 using the OCRA and ROCINN algorithms (Loyola et al, 2007;Lutz et al, 2015). OCRA provides the cloud fraction using the PMD Figure 1.…”

Section: Total Ozone Columnmentioning

confidence: 99%

“…Other instruments that have been used to study atmospheric composition are for example the SCIAMACHY (Bovensmann et al, 1999), MIPAS (Fischer and Oelhaf, 1996) and GOMOS (Bertaux et al, 1991) instruments onboard ESA's Envisat platform as well as SAGE and SAGE II on NASA's platforms. Currently operational instruments measuring atmospheric composition include the Dutch-Finnish OMI on board NASA's Aura satellite, NASA's OMPS instrument on the Suomi-NPP satellite and the Canadian OSIRIS onboard the Swedish Odin satellite (Llewellyn et al, 2003). The long-term monitoring will be continued by the next generation instruments, the Dutch Tropomi onboard ESA's Sentinel 5-Precursor satellite (launch in 2016), followed by the Copernicus Sentinel-5/UVNS instruments onboard EPS-SG covering the time period 2020-2035.…”

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confidence: 99%

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

et al. 2016

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Abstract. The three Global Ozone Monitoring Experiment-2 instruments will provide unique and long data sets for atmospheric research and applications. The complete time period will be 2007-2022, including the period of ozone depletion as well as the beginning of ozone layer recovery. Besides ozone chemistry, the GOME-2 (Global Ozone Monitoring Experiment-2) products are important e.g. for air quality studies, climate modelling, policy monitoring and hazard warnings. The heritage for GOME-2 is in the ERS/GOME and Envisat/SCIAMACHY instruments. The current Level 2 (L2) data cover a wide range of products such as ozone and minor trace gas columns (NO 2 , BrO, HCHO, H 2 O, SO 2 ), vertical ozone profiles in high and low spatial resolution, absorbing aerosol indices, surface Lambertian-equivalent reflectivity database, clear-sky and cloud-corrected UV indices and surface UV fields with different weightings and photolysis rates. The Satellite Application Facility on Ozone and Atmospheric Chemistry Monitoring (O3M SAF) processes and disseminates data 24/7. Data quality is guaranteed by the detailed review processes for the algorithms, validation of the products as well as by a continuous quality monitoring of the products and processing. This paper provides an overview of the O3M SAF project background, current status and future plans for the utilisation of the GOME-2 data. An important focus is the provision of summaries of the GOME-2 products including product principles and validation examples together with sample images. Furthermore, this paper collects references to the detailed product algorithm and validation papers.

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“…Rozanov and Kokhanovsky (2004) developed a retrieval technique exploiting hyperspectral A-band measurements from SCIAMACHY, thanks to a semi-analytical algorithm using asymptotic theory. Previous information content analyses (Heidinger and Stephens, 2000;Schuessler et al, 2014) have explored the information content of high-resolution spectral measurements in the Aband (Heidinger and Stephens, 2000) and were applied to different sensors such as GOME and GOME-2 (Schuessler et al, 2014;Loyola et al, 2007). Our present study focuses on the O 2 A-band information content arising from multiangle observations.…”

Section: Introductionmentioning

confidence: 99%

Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI

et al. 2016

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Abstract. Information content analyses on cloud top altitude (CTOP) and geometrical thickness (CGT) from multi-angular A-band measurements in the case of monolayer homogeneous clouds are conducted. In the framework of future multi-angular radiometer development, we compared the potential performances of the 3MI (Multiviewing, Multi-channel and Multi-polarization Imaging) instrument developed by EUMETSAT, which is an extension of POLDER/PARASOL instrument and MSPI (Multiangle SpectroPolarimetric Imager) developed by NASA's Jet Propulsion Laboratory. Quantitative information content estimates were realized for thin, moderately opaque and opaque clouds for different surface albedo and viewing geometry configurations. Analyses show that retrieval of CTOP is possible with a high accuracy in most of the cases investigated. Retrieval of CGT is also possible for optically thick clouds above a black surface, at least when CGT > 1-2 km and for thin clouds for CGT > 2-3 km. However, for intermediate optical thicknesses (COT 4), we show that the retrieval of CGT is not simultaneously possible with CTOP. A comparison between 3MI and MSPI shows a higher information content for MSPI's measurements, traceable to a thinner filter inside the oxygen A-band, yielding higher signal-tonoise ratio for absorption estimation. Cases of cloud scenes above bright surfaces are more complex but it is shown that the retrieval of CTOP remains possible in almost all situations while the information content on CGT appears to be insufficient in many cases, particularly for COT < 4 and CGT < 2-3 km.

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Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval

Cited by 79 publications

References 38 publications

Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

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

Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI

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Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval

Cited by 79 publications

References 38 publications

Validation of OMI, GOME-2A and GOME-2B tropospheric NO&lt;sub&gt;2&lt;/sub&gt;, SO&lt;sub&gt;2&lt;/sub&gt; and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

Validation of OMI, GOME-2A and GOME-2B tropospheric NO&lt;sub&gt;2&lt;/sub&gt;, SO&lt;sub&gt;2&lt;/sub&gt; and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

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

Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI

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Product

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Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products

Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products