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- W2969572562 startingPage "763" @default.
- W2969572562 abstract "Abstract. Simulating ensembles of extreme events is a necessary task to evaluate their probability distribution and analyze their meteorological properties. Algorithms of importance sampling have provided a way to simulate trajectories of dynamical systems (like climate models) that yield extreme behavior, like heat waves. Such algorithms also give access to the return periods of such events. We present an adaptation based on circulation analogues of importance sampling to provide a data-based algorithm that simulates extreme events like heat waves in a realistic way. This algorithm is a modification of a stochastic weather generator, which gives more weight to trajectories with higher temperatures. This presentation outlines the methodology using European heat waves and illustrates the spatial and temporal properties of simulations." @default.
- W2969572562 created "2019-08-29" @default.
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- W2969572562 date "2020-02-25" @default.
- W2969572562 modified "2023-10-07" @default.
- W2969572562 title "Simulation of extreme heat waves with empirical importance sampling" @default.
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- W2969572562 doi "https://doi.org/10.5194/gmd-13-763-2020" @default.
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