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Optimized forward model and retrieval scheme for MIPAS near-real-time data processing.

M Ridolfi1, B Carli, M Carlotti

  • 1Instituto di Ricerca sulle Onde Elettromagnetiche del Consiglio Nazionale delle Ricerche, Via Panciatichi 64, I-50127 Firenze, Italy.

Applied Optics
|March 14, 2008
PubMed
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An optimized code retrieves atmospheric profiles of key species like ozone and water vapor near real-time. This advancement in atmospheric sounding enhances data accuracy and processing speed for climate research.

Area of Science:

  • Atmospheric science and remote sensing.
  • Earth observation and climate monitoring.

Background:

  • The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on ESA's ENVISAT-1 satellite collects infrared limb spectra.
  • Accurate retrieval of atmospheric profiles is crucial for understanding atmospheric composition and dynamics.

Purpose of the Study:

  • To develop and optimize a code for near-real-time retrieval of atmospheric profiles.
  • To improve the accuracy and efficiency of data processing from the MIPAS instrument.

Main Methods:

  • Utilized a global fit approach on selected spectral microwindows for profile retrieval.
  • Optimized program structure, radiative transfer model, and Jacobian computation for speed and accuracy.
  • Developed an optimized code for near-real-time retrieval of pressure, temperature, and VMR profiles.

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Main Results:

  • Achieved noise error on temperature <2 K and tangent pressure <3%.
  • Attained volume mixing ratio (VMR) noise error <5% for target species.
  • Reduced total run time to less than 1 minute on a modern workstation.

Conclusions:

  • The developed code provides accurate and efficient near-real-time atmospheric profile retrieval.
  • Optimizations in physical and mathematical aspects significantly improved performance.
  • The code is suitable for operational processing of MIPAS data for climate studies.