Validation of SCIAMACHY top-of-atmosphere reflectance for aerosol remote sensing using MERIS L1 data

Hoyningen‐Huene, W. von; Kokhanovsky, Alexander A.; Wuttke, Manfred W.; Buchwitz, Michael; Noël, Stefan; Gerilowski, Konstantin; Burrows, J. P.; Latter, Barry G.; Siddans, Richard; Kerridge, B. J.

doi:10.5194/acp-7-97-2007

Cited by 31 publications

(13 citation statements)

References 14 publications

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“…These values are also in agreement with our results, which are based on a much larger dataset. We note that whereas [7] followed an approach identical to this letter, including in the linear fit different scenes, von Hoyningen-Huene et al [8] based their results on a particular cloud-free case over the sea (i.e., a dark scene). Furthermore, SCIAMACHY cloud-top retrievals using the O -A band at 760 nm (FRESCO method [16]) confirm a correction factor of about 1.20 in the NIR (N. Fournier and R. van der A., KNMI, personal communication).…”

Section: Discussionmentioning

confidence: 96%

“…Using several clear pixels over the Baltic Sea, von Hoyningen-Huene et al [8] compared the calibration of SCIAMACHY and MERIS. They found nm nm nm , and nm…”

Section: Discussionmentioning

confidence: 99%

“…There is strong evidence [3]- [8] the reflectance in the visible range by 10% to 20%. Concerning MERIS, the current reflectance accuracy is % [9].…”

Section: Introductionmentioning

confidence: 99%

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Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT

Acarreta

Stammes

2005

IEEE Geosci. Remote Sensing Lett.

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We present a comparison of the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIA-MACHY) and the Medium Resolution Imaging Spectrometer (MERIS) reflectance calibrations at wavelengths between 442 and 885 nm. Results show that SCIAMACHY underestimates the reflectance by 13% at 442 nm reaching up to 21% at 885 nm as compared to MERIS. We also find a small nonlinear effect for the lowest reflectance. This effect is more evident for pixels over ocean than over land.

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Section: Discussionmentioning

confidence: 96%

“…Using several clear pixels over the Baltic Sea, von Hoyningen-Huene et al [8] compared the calibration of SCIAMACHY and MERIS. They found nm nm nm , and nm…”

Section: Discussionmentioning

confidence: 99%

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Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT

Acarreta

Stammes

2005

IEEE Geosci. Remote Sensing Lett.

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“…The fact that the numbers are different for different surfaces combined with the large spread found for 865 nm indicates that calibration issues are very likely not the cause of the differences. Also, the radiometric calibrations of SCIAMACHY and MERIS have been compared extensively in the past [ Acarreta and Stammes , ; von Hoyningen‐Huene et al , ; Kokhanovsky et al , ] and the instruments are expected to agree within a few percent.…”

Section: Ler Database Intercomparisonsmentioning

confidence: 99%

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

et al. 2017

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The primary goal of this paper is to introduce two new surface reflectivity climatologies. The two databases contain the Lambertian‐equivalent reflectivity (LER) of the Earth's surface, and they are meant to support satellite retrieval of trace gases and of cloud and aerosol information. The surface LER databases are derived from the Global Ozone Monitoring Experiment (GOME)‐2 and Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) instruments and can be considered as improved and extended descendants of earlier surface LER climatologies based on the Total Ozone Mapping Spectrometer (TOMS), GOME‐1, and Ozone Monitoring Instrument (OMI) instruments. The GOME‐2 surface LER database consists of 21 wavelength bands that span the wavelength range from 335 to 772 nm. The SCIAMACHY surface LER database covers the wavelength range between 335 and 1670 nm in 29 wavelength bands. The two databases are made for each month of the year, and their spatial resolution is 1° × 1°. In this paper we present the methods that are used to derive the surface LER; we analyze the spatial and temporal behavior of the surface LER fields and study the amount of residual cloud contamination in the databases. For several surface types we analyze the spectral surface albedo and the seasonal variation. When compared to the existing surface LER databases, both databases are found to perform well. As an example of possible application of the databases we study the performance of the Fast Retrieval Scheme for Clouds from the Oxygen A‐band (FRESCO) cloud information retrieval when it is equipped with the new surface albedo databases. We find considerable improvements. The databases introduced here can not only improve retrievals from GOME‐2 and SCIAMACHY but also support those from other instruments, such as TROPOspheric Monitoring Instrument (TROPOMI), to be launched in 2017.

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“…In the first year after the launch of SCIAMACHY [ Bovensmann et al , 1999], a number of studies showed indications of severe shortcomings in its radiometric calibration [see, e.g., Skupin et al , 2003; Acarreta and Stammes , 2003]. The shortcomings in the reflectance calibration were confirmed later on for the UV by comparison with radiative transfer models [ van Soest et al , 2005; Tilstra et al , 2005] and for visible and near‐infrared wavelength ranges by comparison with the satellite instruments Medium‐Resolution Imaging Spectrometer (MERIS) and GOME [ Acarreta and Stammes , 2005; von Hoyningen‐Huene et al , 2006; Tilstra and Stammes , 2006]. Most notable was the 15–25% underestimation of the reflectance by SCIAMACHY.…”

Section: Introductionmentioning

confidence: 99%

Earth reflectance and polarization intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS‐2

Tilstra¹,

Stammes²

2007

J. Geophys. Res.

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[1] In this paper, we compare reflectance and polarization measurements from two different satellite instruments, namely, the imager Polarization and Directionality of the Earth's Reflectances (POLDER) and the spectrometer Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY). Both instruments are able to measure not only the Earth reflectance but also the state of linear polarization of the detected light. The aim of this paper is to validate the SCIAMACHY reflectance and polarization data using the fact that POLDER is well calibrated. This validation requires a careful search for suitable, collocated data having identical solar and viewing angles. For the reflectance, there is a disagreement between POLDER and SCIAMACHY of up to 20% in the wavelength interval 400-1000 nm, which we attribute to SCIAMACHY. As for the linear polarization, we present for the first time clear evidence for the existence of discrepancies in the SCIAMACHY polarization retrieval for polarization measurement devices 2, 3, and 4.Citation: Tilstra, L. G., and P. Stammes (2007), Earth reflectance and polarization intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS-2,

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Validation of SCIAMACHY top-of-atmosphere reflectance for aerosol remote sensing using MERIS L1 data

Cited by 31 publications

References 14 publications

Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT

Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

Earth reflectance and polarization intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS‐2

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