Spatiotemporal Large-Scale Networks Shaped by Air Mass Movements

The movement of atmospheric air masses can be seen as a continuous flow gases and particles hovering over our planet, it locally simplified by means three-dimensional trajectories. These trajectories hence way connecting distant areas the globe during given period time. In this paper we present mathematical formalism to construct spatial spatiotemporal networks where nodes represent subsets partition geographical area links between them are inferred from sampled passing across them. We propose different estimators intensity links, relying on bio-physical hypotheses covering adjustable time periods. This construction leads new definition characterized adjacency matrices giving, e.g., probability connection chosen applied methodology characterize tropospheric connectivity in two real contexts: watersheds French region Provence-Alpes-Côte d’Azur coastline Mediterranean Sea. analysis constructed allowed identifying marked seasonal pattern mass movements study areas. If is samples air-mass trajectories, with potential implications aerobiology plant epidemiology, could other types such animal components landscape hosting animals.