论文标题
FlowDB大规模降水，河流和山洪数据集
FlowDB a large scale precipitation, river, and flash flood dataset
论文作者
论文摘要
洪水每年在美国造成80亿美元的损失，并在任何与天气有关的事件中造成最多的死亡。由于气候变化，科学家期望将来会有更多的沉淀事件。但是，没有目前的数据集都包含每小时降水和河流流量数据。我们介绍了一个新型的小时河流流量和降水数据集，以及第二个山洪事件，其中损坏了估计和伤害计数。使用这些数据集，我们提出了两个挑战（1）一般流流预测和（2）山洪伤害估计。我们创建了几个公开可用的基准和易于使用的软件包。此外，将来我们旨在通过雪包数据和土壤指数水分数据来增强数据集，以改善预测。
Flooding results in 8 billion dollars of damage annually in the US and causes the most deaths of any weather related event. Due to climate change scientists expect more heavy precipitation events in the future. However, no current datasets exist that contain both hourly precipitation and river flow data. We introduce a novel hourly river flow and precipitation dataset and a second subset of flash flood events with damage estimates and injury counts. Using these datasets we create two challenges (1) general stream flow forecasting and (2) flash flood damage estimation. We have created several publicly available benchmarks and an easy to use package. Additionally, in the future we aim to augment our dataset with snow pack data and soil index moisture data to improve predictions.
