vix.ing · top · new · best · stats · spec

Exponentially decaying modes and long-term prediction of sea ice\n concentration using Koopman Mode Decomposition

2019/11/04 by James Hogg, Hogg, James, Maria Fonoberova +3 · 4 citations
Earth and Planetary Sciences · Environmental Science · #Arctic and Antarctic ice dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Tropical and Extratropical Cyclones Research

paper · pdf · doi:10.48550/arxiv.1911.01450

openalex publication_date 2019/11/04 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28

Abstract

Sea ice cover in the Arctic and Antarctic is an important indicator of\nchanges in the climate, with important environmental, economic and security\nconsequences. The complexity of the spatio-temporal dynamics of sea ice makes\nit difficult to assess the temporal nature of the changes - e.g. linear or\nexponential - and their precise geographical loci. In this study, Koopman Mode\nDecomposition (KMD) was applied to satellite data of sea ice concentration for\nthe northern and southern hemispheres to gain insight into the temporal and\nspatial dynamics of the sea ice behavior and to predict future sea ice\nbehavior. We discover exponentially decaying spatial modes in both hemispheres\nand discuss their precise spatial extent, and also perform precise geographic\npredictions of sea ice concentration up to four years in the future. This\ndata-driven decomposition technique gives insight in spatial and temporal\ndynamics not apparent in traditional linear approaches.\n

Cited by

Related