Titlebook: Extremes in a Changing Climate; Detection, Analysis Amir AghaKouchak,David Easterling,Soroosh Sorooshi Book 2013 Springer Science+Business

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https://doi.org/10.1007/978-3-642-32433-8mes, such as drought, heavy precipitation, heat waves or tropical storms requires long-term observations of climate at sufficiently high temporal resolution to identify individual extreme events and is spatially complete enough to use at both global and regional scales. This chapter discusses variou

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Statistical Methods for Nonstationary Extremes,., for the proverbial “100-yr flood”). For the most part, these methods are based on the assumption of stationarity (i.e., an unchanging climate in a statistical sense). The focus of this chapter is on how the familiar distributions that arise in extreme value theory, namely the generalized extreme

obsolete

Bayesian Methods for Non-stationary Extreme Value Analysis,erence offers an attractive framework to estimate non-stationary models and, importantly, to quantify estimation and predictive uncertainties..This chapter therefore focuses on the application of Bayesian inference to non-stationary extreme models. It is organized as a step-by-step building of non-s

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Return Periods and Return Levels Under Climate Change,irst eschews the term return period and instead communicates yearly risk in terms of a probability of exceedance. The second extends the notion of return period to the non-stationary setting. We examine two different definitions of return period under non-stationarity. The first, which appears in Ol

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Multivariate Extreme Value Methods,ll as the number of designs based on an explicit treatment of multivariate variables is yet limited as compared to univariate analysis. A first problem arising when working in a multidimensional context is the lack of a “natural” definition of extreme values: essentially, this is due to the fact tha

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Stochastic Models of Climate Extremes: Theory and Observations,ad consensus that the most hazardous effects of climate change are due to a potential increase (in frequency and/or intensity) of extreme weather and climate events. Extreme events are by definition rare, but they can have a significant impact on people and countries in the affected regions. Here an