Raw Data for DL model development in "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction"

This is the raw data used for the development of DL models in the paper "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction".The data is structured for each grid cell in individual csv files. The first column in the csv files contains the name of the flood events followed by the variable names, and the remaining columns contain the time series data of that variable for that event. Each csv file was used to develop one DL model.

本数据集为论文《基于深度学习并结合空间降维与重建的快速洪水淹没建模框架》中深度学习模型的开发所使用的原始数据。数据结构针对每个网格单元分别以独立的 CSV 文件进行组织。CSV 文件的第一列包含洪水事件的名称，随后是变量名称，其余列则包含该事件对应变量的时间序列数据。每个 CSV 文件均用于开发一个深度学习模型。