[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 (Professor, Graduate School of Science, The University of Tokyo)
Theme 1: Collection and archive of high-resolution middle atmosphere radar observation network data
Aims of the research
The purpose of this research is to collect and archive international joint observation data, which is the source to ensure the originality and novelty of the research conducted by this team, satellite observation data used for data assimilation, and reanalysis climate data used for verification of assimilation estimates and atmospheric science research.
Methodology, contents, and results
Middle atmosphere radar observation network (Fig. 1), which are the source of the data used in this CREST, were conducted simultaneously. The international cooperative observations aimed to capture the global atmospheric changes associated with the sudden stratospheric warming (SSW) in the Arctic in winter, and five characteristic case data were obtained during the research period. These are: a minor SSW in February 2017; major SSW in February 2018, January 2019, and January 2021; and a polar vortex intensification event, which is an opposite phenomenon of the SSW, in January 2020. We also collected satellite observation data and atmospheric reanalysis data released by various research institutes and meteorological agencies in quasi-real time.
