Matches in DBpedia 2015-04 for { ?s ?p "In recent times, the field of Complex Networks has emerged as an important area of science to generate novel insights into nature of complex systems. The application of the theory to Climate Science is a young and emerging field.To identify and analyze patterns in global climate, scientists model the climate data as Complex Networks.Unlike most of the real-world networks in which nodes and edges are well defined, nodes in climate networks are identified with the spatial grid points of underlying global climate data set, which is defined arbitrarily and can be represented at various resolutions. Two nodes are connected by an edge depending on the degree of statistical independence between corresponding pairs of time-series taken from climate data, on the basis of similarity shared in climatic variability.The climate network approach enables novel insights into the dynamics of the climate system over many spatial scales."@en }
Showing triples 1 to 1 of
1
with 100 triples per page.
- Climate_as_complex_networks abstract "In recent times, the field of Complex Networks has emerged as an important area of science to generate novel insights into nature of complex systems. The application of the theory to Climate Science is a young and emerging field.To identify and analyze patterns in global climate, scientists model the climate data as Complex Networks.Unlike most of the real-world networks in which nodes and edges are well defined, nodes in climate networks are identified with the spatial grid points of underlying global climate data set, which is defined arbitrarily and can be represented at various resolutions. Two nodes are connected by an edge depending on the degree of statistical independence between corresponding pairs of time-series taken from climate data, on the basis of similarity shared in climatic variability.The climate network approach enables novel insights into the dynamics of the climate system over many spatial scales.".