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@ARTICLE{Raspollini:54925,
      author       = {Raspollini, P. and Belotti, C. and Burgess, A. and Carli,
                      B. and Carlotti, M. and Cecdherini, S. and Dinelli, B. M.
                      and Dudhia, A. and Flaud, J.-M. and Funke, B. and Höpfner,
                      M. and López-Puertas, M. and Payne, V. and Piccolo, C. and
                      Remedios, J. J. and Ridolfi, M. and Spang, R.},
      title        = {{MIPAS} level 2 operational analysis},
      journal      = {Atmospheric chemistry and physics},
      volume       = {6},
      issn         = {1680-7316},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {PreJuSER-54925},
      pages        = {5605 - 5630},
      year         = {2006},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {The MIPAS (Michelson Interferometer for Passive Atmospheric
                      Sounding) instrument has been operating on-board the ENVISAT
                      satellite since March 2002. In the first two years, it
                      acquired in a nearly continuous manner high resolution
                      (0.025 cm(-1) unapodized) emission spectra of the Earth's
                      atmosphere at limb in the middle infrared region. This paper
                      describes the level 2 near real-time (NRT) and off-line (OL)
                      ESA processors that have been used to derive level 2
                      geophysical products from the calibrated and geolocated
                      level 1b spectra. The design of the code and the analysis
                      methodology have been driven by the requirements for NRT
                      processing. This paper reviews the performance of the
                      optimized retrieval strategy that has been implemented to
                      achieve these requirements and provides estimated error
                      budgets for the target products: pressure, temperature, O-3,
                      H2O, CH4, HNO3, N2O and NO2, in the altitude measurement
                      range from 6 to 68 km.From application to real MIPAS data,
                      it was found that no change was needed in the developed code
                      although an external algorithm was introduced to identify
                      clouds with high opacity and to exclude affected spectra
                      from the analysis. In addition, a number of updates were
                      made to the set-up parameters and to auxiliary data. In
                      particular, a new version of the MIPAS dedicated
                      spectroscopic database was used and, in the OL analysis, the
                      retrieval range was extended to reduce errors due to
                      uncertainties in extrapolation of the profile outside the
                      retrieval range and more stringent convergence criteria were
                      implemented.A statistical analysis on the chi(2) values
                      obtained in one year of measurements shows good agreement
                      with the a priori estimate of the forward model errors. On
                      the basis of the first two years of MIPAS measurements the
                      estimates of the forward model and instrument errors are in
                      general found to be conservative with excellent performance
                      demonstrated for frequency calibration. It is noted that the
                      total retrieval error is limited by forward model errors
                      which make effectless a further reduction of random errors.
                      However, such a reduction is within the capabilities of
                      MIPAS measurements, which contain many more spectral
                      signatures of the target species than what has currently
                      been used. Further work is needed to reduce the amplitude of
                      the forward model errors, so that the random error and the
                      total error budget can be reduced accordingly.The importance
                      of the Averaging kernels for a full characterization of the
                      target products is underlined and the equations are provided
                      for their practical applications.},
      keywords     = {J (WoSType)},
      cin          = {ICG-I},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB47},
      pnm          = {Atmosphäre und Klima},
      pid          = {G:(DE-Juel1)FUEK406},
      shelfmark    = {Meteorology $\&$ Atmospheric Sciences},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000242944600001},
      doi          = {10.5194/acp-6-5605-2006},
      url          = {https://juser.fz-juelich.de/record/54925},
}