Graphical Abstract

Uda, T., T. Sakajo, M. Inatsu, and K. Koga, 2021: Identification of atmospheric blocking with morphological type by topological flow data analysis. J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-057.
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Plain Language Summary: We propose an algorithm detecting atmospheric blockings by extracting topological features of geo-potential height data at 500 hPa. The method is based on Topological Flow Data Analysis (TFDA), providing a unique symbolic representation (COT representation) and a discrete graph structure (Reeb graph) to every structurally stable Hamiltonian vector field. The algorithm objectively detects not only the period of blocking events but also the morphological types such as an Omega shape and a dipole pattern.

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