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@ARTICLE{Spang:32641,
      author       = {Spang, R. and Remedios, J. J.},
      title        = {{C}olour indices for the detection and differentiation of
                      cloud types in infra-red limb emission spectra},
      journal      = {Advances in space research},
      volume       = {33},
      issn         = {0273-1177},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {PreJuSER-32641},
      pages        = {1041 - 1047},
      year         = {2004},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Simple radiance ratios have been used for the detection of
                      clouds around the tropopause and in the winter polar
                      stratosphere from the infra-red spectra of two remote
                      sensing instruments, the cryogenic infrared spectrometers
                      and telescopes for the atmosphere (CRISTA) flown on two
                      space shuttle missions in 1994 and 1997 and the Michelson
                      interferometer for passive atmospheric sounding (MIPAS)
                      launched on ENVISAT in March 2002. This very successful
                      approach was first applied to different wavelength regions
                      of the CRISTA measurements and was then used as a pre-flight
                      validation test for a cloud detection algorithm of the
                      operational retrieval processor for MIPAS. Preliminary
                      results are now available from the MIPAS instrument and are
                      presented here. First, cloud top heights have been derived
                      down to 12 kin by the detection method and show quite
                      reasonable results. In addition, modelled spectra and
                      measurements show that the extension of the method to lower
                      altitudes - potentially down to 6 km should be possible.
                      Second, the high spectral resolution of the MIPAS
                      measurements allows in addition the detection of scattering
                      effects in the spectra, which gives the future opportunity
                      to retrieve information about the size of the scattering
                      particles. In particular, an index has been developed which
                      allows large particle clouds to be identified. Finally,
                      investigations of CRISTA spectra have already shown that the
                      differentiation of polar stratospheric cloud (PSC) types is
                      possible based on their characteristic spectral features.
                      Application of the differentiation method to the tropics
                      shows no indication for clouds containing PSC-like
                      nitric-acid-hydrate particles. (C) 2003 COSPAR. Published by
                      Elsevier Ltd. All rights reserved.},
      keywords     = {S (WoSType)},
      cin          = {ICG-I},
      ddc          = {520},
      cid          = {I:(DE-Juel1)VDB47},
      pnm          = {Chemie und Dynamik der Geo-Biosphäre},
      pid          = {G:(DE-Juel1)FUEK257},
      shelfmark    = {Engineering, Aerospace / Astronomy $\&$ Astrophysics /
                      Geosciences, Multidisciplinary / Meteorology $\&$
                      Atmospheric Sciences},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000222000000005},
      doi          = {10.1016/S0273-1177(03)00585-4},
      url          = {https://juser.fz-juelich.de/record/32641},
}