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Article overview
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Spatiotemporal large-scale networks shaped by air mass movements | Maria Choufany
; Davide Martinetti
; Rachid Senoussi
; Cindy E. Morris
; Samuel Soubeyrand
; | Date: |
16 Nov 2019 | Abstract: | The movement of atmospheric air masses can be seen as a continuous and
generally complex flow of gases and particles hovering over our planet. It can
however be locally simplified by considering three-dimensional trajectories of
air masses connecting distant areas of the globe during a given period of time.
In this paper, we present a mathematical framework to construct spatial and
spatiotemporal networks where the nodes are the subsets of a partition of a
geographical area and the links between these nodes are inferred from sampled
trajectories of air masses passing over and across the nodes. We propose
different estimators of link intensities relying on different bio-physical
hypotheses and covering adjustable time periods. This approach leads to a new
class of spatiotemporal networks characterized by adjacency matrices giving,
e.g., the probability of connection between distant areas during a chosen
period of time.
To illustrate the effectiveness of this approach, we applied it to
characterize tropospheric connectivity in two real geographical contexts: the
watersheds of the French region Provence-Alpes-C^ote d’Azur and the coastline
of the Mediterranean Sea. The analysis of the constructed networks allowed
identifying a marked seasonal pattern in air mass movements in the two study
areas.
The networks constructed from air mass trajectories can be used to
investigate issues, e.g., in aerobiology and epidemiology of airborne plant
pathogens. Similar networks could be estimated from other types of
trajectories, such as animal trajectories, to characterize connectivity between
different components of the landscape where the animals live. | Source: | arXiv, 1911.7007 | Services: | Forum | Review | PDF | Favorites |
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