Stochastic simulations and regional hazard assessment for CAMELS dataset over the United States

This resource provides (1) stochastic continuous streamflow simulations for the 671 catchments in the CAMELS dataset by Addor et al. (2017), (2) peak-over-threshold events extracted from the observed and stochastically simulated series for different flood thresholds, and (3) an R-script to calculate regional flood hazard probabilities using the susceptibility index proposed by Brunner et al. (2020). It accompanies the manuscript How probable is widespread flooding in the United States by Brunner et al. (2020). Brunner, M. I., Papalexiou, S., Clark, M. P., & Gilleland, E. (2020). How probable is widespread flooding in the UnitedStates? Water Resources Research, 56,e2020WR028096. https://doi.org/10.1029/2020WR028096.本数据集资源包含以下三部分核心内容：(1) 针对Addor等（2017）构建的CAMELS数据集中的671个流域的随机连续径流模拟序列；(2) 针对不同洪水阈值，从实测径流序列与随机模拟径流序列中提取的超阈值峰（peak-over-threshold，POT）事件；(3) 用于依据Brunner等（2020）提出的敏感性指数计算区域洪水灾害概率的R语言脚本。本数据集配套Brunner等（2020）发表的论文《美国大范围洪水发生概率几何？》（原文标题：How probable is widespread flooding in the United States）。 Brunner, M. I., Papalexiou, S., Clark, M. P., & Gilleland, E. (2020). 美国大范围洪水发生概率几何？[J]. 水资源研究, 56, e2020WR028096. https://doi.org/10.1029/2020WR028096.