Paper
9 April 2003 Validation of MIPAS/ENVISAT level-1B data products
Gizaw Mengistu Tsidu, Michael Kiefer, Thomas von Clarmann, Herbert Fischer, Bernd Funke, Udo Grabowski, Frank Hase, Michael Hoepfner, Manuel Lopez-Puertas, Gabriele P. Stiller
Author Affiliations +
Proceedings Volume 4891, Optical Remote Sensing of the Atmosphere and Clouds III; (2003) https://doi.org/10.1117/12.467524
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Spectral limb radiances measured by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) onboard the Envisat Environmental research satellite are characterized in terms of instrument line shape (ILS), noise equivalent spectral radiance (NESR) and possible impact of non-local thermodynamic equilibrium emission in deep space calibration spectra. Furthermore, it is assessed if the operational processing baseline to set the top of the model atmosphere to 120~km is justified. The major findings are: The ILS parametrization provided along with the measurement data is sub-optimal; spectral residuals can be reduced by application of an ILS correction function. Spectral noise as estimated in this study is systematically lower than the values provided along with the measurement data. There is no evidence for significant noise correlations in the spectral domain. There is no indication of non-local thermodynaic equilibrium induced upper atmospheric signal in the so-called 'deep-space' spectra which are used for the radiometric zero-level calibration.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gizaw Mengistu Tsidu, Michael Kiefer, Thomas von Clarmann, Herbert Fischer, Bernd Funke, Udo Grabowski, Frank Hase, Michael Hoepfner, Manuel Lopez-Puertas, and Gabriele P. Stiller "Validation of MIPAS/ENVISAT level-1B data products", Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); https://doi.org/10.1117/12.467524
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Atmospheric modeling

Modulation

Aerospace engineering

Solar processes

Spectral calibration

Data modeling

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