The Copernicus Sentinel-5 mission for operational atmospheric monitoring: status and developments

Bézy, Jean‐Loup; Sierk, B.; Caron, J.; Veihelmann, Ben; Martin, D.; Langen, J.

doi:10.1117/12.2068177

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…The errors resulting from nonuniform illumination of the slit in the ALT direction have been studied for many missions, including Sentinel-4, Sentinel-5 and CarbonSat [2][3][4][5]. Besides software correction [2,3], hardware mitigation is possible with slit homogeniser devices, and has been considered for Sentinel-5 and CarbonSat [4,6].…”

Section: Impact Of Along-track Scene Heterogeneities a Problem Omentioning

confidence: 99%

The CarbonSat candidate mission: radiometric and spectral performances over spatially heterogeneous scenes

Caron

Sierk

Bézy

et al. 2017

International Conference on Space Optics — ICSO 2014

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Section: Impact Of Along-track Scene Heterogeneities a Problem Omentioning

confidence: 99%

The CarbonSat candidate mission: radiometric and spectral performances over spatially heterogeneous scenes

Caron

Sierk

Bézy

et al. 2017

International Conference on Space Optics — ICSO 2014

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“…Further satellites also carrying passive nadir-viewing instruments suited for an OCRA-like cloud-fraction retrieval comprise OMI (Ozone Monitoring Instrument, see Levelt et al, 2006;Dobber et al, 2006;Schoeberl et al, 2006) on the NASA Aura Satellite, TROPOMI (TROPOspheric Monitoring Instrument, see Veefkind et al (2012)) onboard the ESA Sentinel 5 Precursor mission as well as the Sentinel 4 and Sentinel 5 missions (Stark et al, 2013;Bézy et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

et al. 2016

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Abstract. This paper describes an approach for cloud parameter retrieval (radiometric cloud-fraction estimation) using the polarization measurements of the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the MetOp-A/B satellites. The core component of the Optical Cloud Recognition Algorithm (OCRA) is the calculation of monthly cloud-free reflectances for a global grid (resolution of 0.2 • in longitude and 0.2 • in latitude) to derive radiometric cloud fractions. These cloud fractions will serve as a priori information for the retrieval of cloud-top height (CTH), cloud-top pressure (CTP), cloud-top albedo (CTA) and cloud optical thickness (COT) with the Retrieval Of Cloud Information using Neural Networks (ROCINN) algorithm. This approach is already being implemented operationally for the GOME/ERS-2 and SCIAMACHY/ENVISAT sensors and here we present version 3.0 of the OCRA algorithm applied to the GOME-2 sensors.Based on more than five years of GOME-2A data (April 2008 to June 2013), reflectances are calculated for ≈ 35 000 orbits. For each measurement a degradation correction as well as a viewing-angle-dependent and latitudedependent correction is applied. In addition, an empirical correction scheme is introduced in order to remove the effect of oceanic sun glint. A comparison of the GOME-2A/B OCRA cloud fractions with colocated AVHRR (Advanced Very High Resolution Radiometer) geometrical cloud fractions shows a general good agreement with a mean difference of −0.15 ± 0.20.From an operational point of view, an advantage of the OCRA algorithm is its very fast computational time and its straightforward transferability to similar sensors like OMI (Ozone Monitoring Instrument), TROPOMI (TROPOspheric Monitoring Instrument) on Sentinel 5 Precursor, as well as Sentinel 4 and Sentinel 5.In conclusion, it is shown that a robust, accurate and fast radiometric cloud-fraction estimation for GOME-2 can be achieved with OCRA using polarization measurement devices (PMDs).

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“…The descending node equatorial crossing time R. Lutz et al: OCRA for GOME-2A/B ERS-2 (European Remote Sensing 2 Satellite) also provided PMD (polarization measurement device) measurements. Further satellites also carrying passive nadir-viewing instruments suited for an OCRA-like cloud-fraction retrieval comprise OMI (Ozone Monitoring Instrument, see Levelt et al, 2006;Dobber et al, 2006;Schoeberl et al, 2006) on the NASA Aura Satellite, TROPOMI (TROPOspheric Monitoring Instrument, see Veefkind et al (2012)) onboard the ESA Sentinel 5 Precursor mission as well as the Sentinel 4 and Sentinel 5 missions (Stark et al, 2013;Bézy et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

Lutz¹,

Loyola²,

García³

et al. 2015

Preprint

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Abstract. This paper describes an approach for cloud parameter retrieval (radiometric cloud fraction estimation) using the polarization measurements of the Global Ozone Monitoring Experiment-2 (GOME-2) on-board the MetOp-A/B satellites. The core component of the Optical Cloud Recognition Algorithm (OCRA) is the calculation of monthly cloud-free reflectances for a global grid (resolution of 0.2° in longitude and 0.2° in latitude) and to derive radiometric cloud fractions. These cloud fractions will serve as a priori information for the retrieval of cloud top height (CTH), cloud top pressure (CTP), cloud top albedo (CTA) and cloud optical thickness (COT) with the Retrieval Of Cloud Information using Neural Networks (ROCINN) algorithm. This approach is already being implemented operationally for the GOME/ERS-2 and SCIAMACHY/ENVISAT sensors and here we present version 3.0 of the OCRA algorithm applied to the GOME-2 sensors. Based on more than six years of GOME-2A data (February 2007–June 2013), reflectances are calculated for &approx; 35 000 orbits. For each measurement a degradation correction as well as a viewing angle dependent and latitude dependent correction is applied. In addition, an empirical correction scheme is introduced in order to remove the effect of oceanic sun glint. A comparison of the GOME-2A/B OCRA cloud fractions with co-located AVHRR geometrical cloud fractions shows a general good agreement with a mean difference of −0.15±0.20. From operational point of view, an advantage of the OCRA algorithm is its extremely fast computational time and its straightforward transferability to similar sensors like OMI (Ozone Monitoring Instrument), TROPOMI (TROPOspheric Monitoring Instrument) on Sentinel 5 Precursor, as well as Sentinel 4 and Sentinel 5. In conclusion, it is shown that a robust, accurate and fast radiometric cloud fraction estimation for GOME-2 can be achieved with OCRA by using the polarization measurement devices (PMDs).

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The Copernicus Sentinel-5 mission for operational atmospheric monitoring: status and developments

Cited by 6 publications

References 3 publications

The CarbonSat candidate mission: radiometric and spectral performances over spatially heterogeneous scenes

The CarbonSat candidate mission: radiometric and spectral performances over spatially heterogeneous scenes

OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

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