Core Research for Evolutional Science and Technology (CREST)
[Intelligent Measurement Analysis]
Development and application of intelligent measurement-analysis methods through coalition between measurement technologies and informatics

Study of atmospheric hierarchical structure by fusion of observation data
from a global radar network and high-resolution general circulation models

October 2016 to March 2022

Research Director
Kaoru Sato (PI: Atmospheric Science Group)
Professor, Graduate School of Science, The University of Tokyo
Collaborators

Koji Nishimura (PI: Intelligent Measurement Group)
Associate Professor, The Research Institute for Sustainable Humanosphere (RISH), Kyoto University

Daisuke Matsuoka (PI: Deep Learning Group)
Researcher, Research Institute for Value-Added-Information Generation, Japan Agency for Marine-Earth Science and Technology

Shingo Watanabe (PI: Informatics Group)
Vice Director, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology

Outline

An assimilation technique will be developed for high-resolution general circulation models using the low-resolution and global observation data from satellites in combination with the high-resolution and sparse observation data from international collaboration with a global MST-radar network including the PANSY radar, the first MST radar in the Antarctic that the PI's group has recently constructed at Syowa Station. In addition, using the assimilation technique, a high-resolution grid data of the global atmosphere extending from the surface to the ~100km altitude will be created and the physics of the hierarchical structure embedded in the atmosphere will be elucidated.

Research Topics in Atmospheric Science Group (PI: Kaoru Sato)

  • Theme 1: Collection and archive of high-resolution international joint observation data based on the PANSY radar
  • Theme 2: Development of data assimilation scheme and global atmospheric high-resolution analysis data using high-resolution GCMs (in collaboration with the Information Team)
  • Theme 3: Dynamical research on hierarchical structure of the global atmosphere and atmospheric phenomena unique in the Antarctic
    • A. Proposal of a new mechanism for the middle atmospheric hierarchical structure and the coupling between the northern and southern hemispheres (Sato et al., 2018; Yasui et al., 2018; Yasui et al., 2021)
    • B. Large-scale changes in the atmospheric hierarchical structure associated with a stratospheric sudden warming by hindcast of the entire neutral atmosphere including gravity waves (in collaboration with the Information Team) (Okui et al., 2021)
    • C. Structure and driving mechanism of the equatorial mesospheric intraseasonal oscillation (Koshin et al., in preparation)
    • D. Characteristics of Brewer-Dobson circulation and the role of gravity waves using long-term atmospheric reanalysis data (Sato and Hirano, 2018)
    • E. Development of 3-D Lagrangian flow theory and elucidated 3-D structure of the stratospheric general circulation (Kinoshita et al., 2020; Sato et al., 2022)
    • F. Study of the broadband spectrum of gravity waves in the mesosphere based on PANSY radar summer observations (Sato et al., 2017)
    • G. Study of the dynamical properties of mesospheric gravity waves by combining PANSY radar winter mesospheric observations with high-resolution GCMs in the Antarctic region (Shibuya et al., 2017; Shibuya and Sato, 2019)
    • H. Study of seasonal and intermittency characteristics of atmospheric gravity waves using continuous tropospheric and stratospheric data from PANSY radar (Minamihara et al., 2018; 2020)
    • I. Study of atmospheric turbulence characteristics using atmospheric radar and radiosonde data (in collaboration with the Measurement Team) (Kohma et al., 2019; 2020; 2021)
    • J. Statistical downscaling study of gravitational waves (with Machine Learning Team and Information Team)