Preprints
https://doi.org/10.5194/amt-2021-124
https://doi.org/10.5194/amt-2021-124

  17 May 2021

17 May 2021

Review status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval

Gunter Stober1, Alexander Kozlovsky2, Alan Liu3, Zishun Qiao3, Masaki Tsutsumi4,5, Chris Hall6, Satonori Nozawa7, Mark Lester8, Evgenia Belova9, Johan Kero9, Patrick J. Espy10,11, Robert E. Hibbons10,11, and Nicholas Mitchell12,13 Gunter Stober et al.
  • 11Institute of Applied Physics & Oeschger Center for Climate Change Research, Microwave Physics, University of Bern, Bern, Switzerland
  • 2Sodankylä Geophysical Observatory, University of Oulu, Finland
  • 3Center for Space and Atmospheric Research and Department of Physical Sciences, Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA
  • 4National Institute of Polar Research, Tachikawa, Japan
  • 5The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan
  • 6Tromsø Geophysical Observatory UiT - The Arctic University of Norway, Tromsø, Norway
  • 7Division for Ionospheric and Magnetospheric Research Institute for Space-Earth Environment Research, Nagoya university, Japan
  • 8University of Leicester, Leicester, UK
  • 9Swedish Institute of Space Physics (IRF), Kiruna, Sweden
  • 10Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
  • 11Birkeland Centre for Space Science, Bergen, Norway
  • 12British Antarctic Survey, UK
  • 13University of Bath, Bath, UK

Abstract. Ground-based remote sensing of atmospheric parameters is often limited to single station observations of vertical profiles at a certain geographic location. This can be a limiting factor to investigating gravity wave dynamics. In this study we present a new retrieval algorithm for multi-static meteor radar networks to obtain tomographic 3D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) called 3DVAR, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3DVAR retrieval is demonstrated using two meteor radar networks, the Nordic Meteor Radar Cluster and the Chilean Observation Network De MeteOr Radars (CONDOR). The optimal estimation implementation provides a statistically sound solution and additional diagnostics from the averaging kernels and measurement response. We present initial scientific results such as body forces of breaking gravity waves leading to two counter-rotating vortices and horizontal wavelength spectra indicating a transition between the vortical κ−3 and divergent κ−5/3 mode at scales of 80–120 km. In addition, we have performed a keogram analysis over extended periods to reflect the latitudinal and temporal impact of a minor sudden stratospheric warming in December 2019. Finally, we demonstrate the applicability of the 3DVAR algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to mid-Norway.

Gunter Stober et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2021-124: On vertical velocity estimates', Jorge Luis Chau, 26 May 2021
    • AC1: 'Reply on CC1', Gunter Stober, 28 May 2021
      • CC2: 'Reply on AC1', Jorge Luis Chau, 28 May 2021
        • AC2: 'Reply on CC2', Gunter Stober, 28 May 2021
  • RC1: 'Comment on amt-2021-124', Anonymous Referee #1, 21 Jul 2021
    • AC3: 'Reply on RC1', Gunter Stober, 11 Aug 2021
  • RC2: 'Comment on amt-2021-124', Anonymous Referee #2, 02 Aug 2021
    • AC4: 'Reply on RC2', Gunter Stober, 11 Aug 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2021-124: On vertical velocity estimates', Jorge Luis Chau, 26 May 2021
    • AC1: 'Reply on CC1', Gunter Stober, 28 May 2021
      • CC2: 'Reply on AC1', Jorge Luis Chau, 28 May 2021
        • AC2: 'Reply on CC2', Gunter Stober, 28 May 2021
  • RC1: 'Comment on amt-2021-124', Anonymous Referee #1, 21 Jul 2021
    • AC3: 'Reply on RC1', Gunter Stober, 11 Aug 2021
  • RC2: 'Comment on amt-2021-124', Anonymous Referee #2, 02 Aug 2021
    • AC4: 'Reply on RC2', Gunter Stober, 11 Aug 2021

Gunter Stober et al.

Gunter Stober et al.

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Short summary
Wind observations at the edge to space, 70–110 km altitude, are challenging. Meteor radars have become a widely used instrument to obtain mean wind profiles above an instrument for these heights. We describe an advanced mathematical concept and present a tomographic analysis using several meteor radars located in Finland, Sweden and Norway as well as Chile to derive the 3-dimensional flow field. We show an example of a gravity wave decelerating the mean flow.