Regional and inter-regional effects in evolving climate networks

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Regional and inter-regional effects in evolving climate networks

Complicated systems composed of many interacting subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is represented by an undirected graph composed of nodes standing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity

INCF/OCNS Software Working Group

Neuroscience cannot exist without its ecosystem of community-developed software tools that many of us rely heavily upon. The newly established Software Working Group, a community working group shared by the International Neuroinformatics Coordinating Facility (INCF) and the Organization for Computational Neurosciences (OCNS), aims to undertake activities that focus on these software tools. Members of the working group will find and discuss relevant software tools, learn and teach how to use them, test and review them, and report bugs to inform tool developers of issues when required. The working group will also strive to learn how these tools work to get involved in their development and maintenance. The aim is to ensure that the tools that our community depends on continue to be maintained by actively engaged community members, and to bring end users into close collaboration with tool developers. Since the working group includes many tool developers, it also serves as a platform to exchange design and development ideas, and will assist in improving interoperability between related tools. Another related goal of the working group is to help members define, improve, and teach transferable skills in the area of modern research software development, particularly in but not limited to, computational neuroscience. The working group is designed to be flexible, instead of being linked to a particular goal. This approach allows the group to pursue timely projects that its members value and are interested in working on. The current goals of the working group are: - To set up and maintain a living document of the current best practices in research software development to serve as a reference for the research community, especially tool developers - To host regular “developer sessions” where developer teams of various tools discuss their development pipelines (or workflows)—to disseminate various development practices, and help potential contributors get started. The activities of the working group can be followed on its website at https://ocns.github.io/SoftwareWG