GOME data processor: the first operational DOAS-based algorithm applied to data from a spaceborne sensor

Ernst Hegels; Bernd Aberle; Wolfgang Balzer; K. Kretschel; Diego Loyola; Eberhard Mikusch; H. Muehle; Thomas Ruppert; Cornelia Schmid; Sander Slijkhuis; Robert J. D. Spurr; Werner Thomas; T. Wieland; Meinhard Wolfmueller

doi:10.1117/12.274719

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22 May 1997 GOME data processor: the first operational DOAS-based algorithm applied to data from a spaceborne sensor

Ernst Hegels; Bernd Aberle; Wolfgang Balzer; K. Kretschel; Diego Loyola; Eberhard Mikusch; H. Muehle; Thomas Ruppert; Cornelia Schmid; Sander Slijkhuis; Robert J. D. Spurr; Werner Thomas; T. Wieland; Meinhard Wolfmueller

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Proceedings Volume 3106, Spectroscopic Atmospheric Monitoring Techniques; (1997) https://doi.org/10.1117/12.274719
Event: Environmental Sensing III, 1997, Munich, Germany

Abstract

The Global Ozone Monitoring Experiment (GOME) is a new atmospheric chemistry instrument on-board the ERS-2 satellite which was launched in April 1995. The GOME is designed to measure a range of atmospheric trace constituents, with particular emphasis on global ozone distributions. The ground segment for the GOME sensor is with the German Remote Sensing Data Center (DFD). Major components of the GDP are the complete GOME data archive, the Earth-shine spectra calibration step, the total ozone column retrieval process, and the integration into the D-PAF data management system (DMS). Raw GOME data re converted into 'calibrated radiances' during the Level 0 to 1 processing by applying a series of calibration algorithms using in-flight observations and pre-flight instrument calibration parameters. Total column abundances of ozone and other trace gases can be derived from the Level 1 Product, comprising the Earth-shine radiance and the extra- terrestrial solar irradiance, by applying three designated algorithms in the Level 1 to 2 processing step. The Initial Cloud Fitting Algorithm (ICFA) uses the spectral features close to and within the O₂ A-band around 760 nm to determine the fractional cloud cover of the pixel scene. The differential optical absorption spectroscopy technique is used for the operational retrieval of ozone and nitrogen dioxide form data in the UV and visible regions of the spectrum. The slant column densities are converted to vertical columns by division with an appropriate Air Mass Factor (AMF), derived from radiative transfer simulations. If clouds are detected by ICFA, an averaged AMF is calculated from the intensity-weighted AMFs to ground and to cloud top. Since the end of July 1996 the GOME data processing is performed operationally at the DFD.

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Ernst Hegels, Bernd Aberle, Wolfgang Balzer, K. Kretschel, Diego Loyola, Eberhard Mikusch, H. Muehle, Thomas Ruppert, Cornelia Schmid, Sander Slijkhuis, Robert J. D. Spurr, Werner Thomas, T. Wieland, and Meinhard Wolfmueller "GOME data processor: the first operational DOAS-based algorithm applied to data from a spaceborne sensor", Proc. SPIE 3106, Spectroscopic Atmospheric Monitoring Techniques, (22 May 1997); https://doi.org/10.1117/12.274719

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