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@ARTICLE{Linder:1028502,
      author       = {Linder, Björn and Preusse, Peter and Chen, Qiuyu and
                      Christensen, Ole Martin and Krasauskas, Lukas and Megner,
                      Linda and Ern, Manfred and Gumbel, Jörg},
      title        = {{S}cale separation for gravity wave analysis from 3{D}
                      temperature observations in the mesosphere and lower
                      thermosphere ({MLT}) region},
      journal      = {Atmospheric measurement techniques},
      volume       = {17},
      number       = {12},
      issn         = {1867-1381},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2024-04654},
      pages        = {3829 - 3841},
      year         = {2024},
      abstract     = {MATS (Mesospheric Airglow/Aerosol Tomography and
                      Spectroscopy) is a Swedish satellite designed to investigate
                      atmospheric dynamics in the mesosphere and lower
                      thermosphere (MLT). By observing structures in noctilucent
                      clouds over polar regions and oxygen atmospheric-band (A-
                      band) emissions globally, MATS will provide the research
                      community with properties of the MLT atmospheric wave field.
                      Individual A-band images taken by MATS’s main instrument,
                      a six-channel limb imager, are transformed through
                      tomography and spectroscopy into three-dimensional
                      temperature fields, within which the wave structures are
                      embedded. To identify wave properties, particularly the
                      gravity wave momentum flux, from the temperature field,
                      smaller-scale perturbations (associated with the targeted
                      waves) must be separated from large-scale background
                      variations using a method of scale separation. This paper
                      investigates the possibilities of employing a simple method
                      based on smoothing polynomials to separate the smaller and
                      larger scales. Using using synthetic tomography data based
                      on the HIAMCM (HIgh Altitude Mechanistic general Circulation
                      Model), we demonstrate that smoothing polynomials can be
                      applied to MLT temperatures to obtain fields corresponding
                      to global-scale separation at zonal wavenumber 18. The
                      simplicity of the method makes it a promising candidate for
                      studying wave dynamics in MATS temperature fields.},
      cin          = {IEK-7},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-7-20101013},
      pnm          = {2112 - Climate Feedbacks (POF4-211)},
      pid          = {G:(DE-HGF)POF4-2112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001255639100001},
      doi          = {10.5194/amt-17-3829-2024},
      url          = {https://juser.fz-juelich.de/record/1028502},
}