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  • Classical physics  (2)
  • AC3; ACLOUD; Arctic Amplification; Arctic clouds; liquid water content  (1)
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  • 1
    Publication Date: 2012-05-02
    Description: Author(s): G. M. Chechin and D. S. Ryabov All possible symmetry-determined nonlinear normal modes (also called simple periodic orbits, one-mode solutions, etc.) in both hard and soft Fermi-Pasta-Ulam β chains are discussed. A general method for studying their stability in the thermodynamic limit as well as its application for each of the ab... [Phys. Rev. E 85, 056601] Published Tue May 01, 2012
    Keywords: Classical physics
    Print ISSN: 1539-3755
    Electronic ISSN: 1550-2376
    Topics: Physics
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  • 2
    Publication Date: 2011-09-27
    Description: Author(s): G. S. Bezuglova, G. M. Chechin, and P. P. Goncharov A group-theoretical approach for studying localized periodic and quasiperiodic vibrations in two- and three-dimensional lattice dynamical models is developed. This approach is demonstrated for the scalar models on the plane square lattice. The symmetry-determined invariant manifolds admitting existe... [Phys. Rev. E 84, 036606] Published Mon Sep 26, 2011
    Keywords: Classical physics
    Print ISSN: 1539-3755
    Electronic ISSN: 1550-2376
    Topics: Physics
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  • 3
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-27
    Description: The dataset contains the liquid water content measured by the Nevzorov probe during the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign [Wendisch et al., 2019]. The campaign was carried out as part of the German Transregio 172 project "Arctic Amplification: Climate Relevant Atmospheric and Surface Processes and Feedback Mechanisms (AC)3". The Nevzorov probe was installed on the Polar 6 research aircraft of the Alfred Wegener Institute (AWI, Bremerhaven, Germany). The raw data was averaged over 1 second intervals and processed to compute the liquid water content using the true air speed measured by the 5-hole probe installed at the noseboom of Polar 6. The true air speed values are also included in the dataset. The main uncertainty of the computed values is associated with the estimates of the dry-air output signal which was determined manually right before and after the in-cloud segments of the flight. During the in-cloud segments the dry-air signal is unknown and is obtained by linear interpolation of the before- and after-cloud values. The version of the Nevzorov probe used during the ACLOUD campaign requires manual balancing of the probe which is done by an operator during the flight. Some parts of the data could not be recovered when the balancing was not done on time by an operator. For the majority of clouds the liquid water content values obtained from the LWC and TWC sensors of the Nevzorov probe are in close agreement with each other and with the values obtained from the Cloud Droplet Probe (CDP) of the Physical Meteorology Laboratory (LaMP, CNRS/UBP, Clermont-Ferrand, France) also installed on Polar 6. The ice water content was not computed using the Nevzorov probe due to the small amount of cloud ice in the majority of clouds during the ACLOUD campaign.
    Keywords: AC3; ACLOUD; Arctic Amplification; Arctic clouds; liquid water content
    Type: Dataset
    Format: application/zip, 16 datasets
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