Fracture networks in sea ice

摘要: Fracturing and refreezing of sea ice in the Kara are investigated using complex networkanalysis. By going to dual network, where fractures nodes their intersectionslinks, we gain access topological features which easy measure hence comparewith modeled networks. Resulting network reveal statistical properties fracturing process.The networks have a broad degree distribution, with scale-free tail, high clusteringand efficiency. The degree-degree correlation profile shows disassortative behavior, indicatingpreferential growth. This implies that long, dominating appear earlier than shorterfractures, short created later tend connect longfractures.The knowledge process is used construct growing fracture (GFN)model provides insight into generation GFN model isprimarily based on observation likely end when hitting existingfractures. Based an investigation survive over time, simple forrefreezing also added model, analyzed compared realnetworks.