Topological Structure of the Cyclonic-Anticyclonic Interactions
Himanshu Yadav, Gisela D. Char\'o, Davide Faranda

TL;DR
This paper applies persistent homology to analyze the large-scale structure and seasonal variability of cyclonic and anticyclonic systems in the North Atlantic, revealing robust patterns and long-lived features without feature-tracking heuristics.
Contribution
It introduces a topological approach using persistent homology to objectively characterize and track cyclonic and anticyclonic structures in climate data.
Findings
Cyclonic features are more persistent and numerous than anticyclonic ones.
Seasonal patterns show winter maxima and summer minima in pressure systems.
Long trajectories correspond to known large-scale atmospheric phenomena.
Abstract
We investigate the large-scale structure and temporal evolution of cyclonic and anticyclonic systems in the North Atlantic using persistent homology applied to daily sea-level pressure anomalies from the ERA5 reanalysis (1950-2022). By interpreting the pressure field as a cubical complex and computing its sublevel- and superlevel-set filtrations, we identify degree-1 topological features corresponding respectively to anticyclones surrounded by low pressure and cyclones surrounded by high pressure. We quantify their intensity through total persistence and track their evolution over time using optimal matchings and Wasserstein distances between consecutive persistence diagrams. The method captures coherent, long-lived structures without requiring feature-tracking heuristics and reveals robust seasonal patterns: both cyclonic and anticyclonic 1-holes exhibit strong winter maxima and summer…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Climate variability and models · Oceanographic and Atmospheric Processes
