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Activity Number: 382 - Climate Networks and Extremes
Type: Invited
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Risk Analysis
Abstract #300221
Title: An Overview of Network Methods Focusing on Extremal Dependence
Author(s): Imme Ebert-Uphoff*
Companies: Colorado State University
Keywords: climate network; extremal dependence; event synchronization; chi network; extreme event

This presentation seeks to provide a big picture overview of network methods for the purpose of identifying and visualizing connections between different variables with a specific focus on extreme events. We start with a quick overview of traditional climate networks - such as correlation networks - and explain why those may not be suitable to analyze extremal dependence. Next, we review a type of climate network which is suitable for this purpose, namely event synchronization networks. We then look at the new concept of chi-networks, introduced in the first presentation of this session. Finally, we put the latter two types of networks in context of each other through the use of a proposed building block language, which can be used to identify similarities and differences between chi-networks and event synchronization networks, and to generate yet other network types for the analysis of extremes.

Authors who are presenting talks have a * after their name.

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