Identification of Atmospheric Blocking with Morphological Type by Topological Flow Data Analysis

This study proposes an algorithm detecting atmospheric blocking by extracting topological features of geopotential height data at 500 hPa. The uses flow analysis (TFDA) providing a unique symbolic representation, named the partially cyclically ordered rooted tree (COT) and discrete graph structure, called Reeb graph, to each structurally stable Hamiltonian vector field based on mathematical theory classifications for streamline patterns. It recognizes events more simply effectively using fewer meteorological parameters than conventional algorithms. Furthermore, can determine morphological types events, Omega shape or dipole pattern, whereas no effective has been available so far. identified their are consistent with synopticians' subjective judgments.