Identifying spatio-temporal drivers of extreme events [data set]

This data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data.

本数据集旨在通过构建深度神经网络，以检测模拟数据中的异常现象及其极端事件的驱动因素，从而系统地评估识别水循环各组成部分中极端事件的方法。