Data underlying the publication: Integrating WRF forecasts at different scales for pluvial flood forecasting using a rainfall threshold approach and a real-time flood model

Regional Numerical Weather Prediction (NWP) models increase the resolution and extend forecasts by several days when initialised with global models. These models produce forecasts at higher spatial and temporal resolutions but are computationally demanding and do not necessarily result in more accurate forecasts especially in data-scarce cities. This research evaluated how rainfall forecasting model scale dependencies satisfy high-resolution hazard forecasting requirements with two different flood forecasting approaches. Rainfall forecasts of different spatial resolutions, cumulus schemes and lead times from a high-resolution Weather Research and Forecasting (WRF) model were first evaluated and then used as input in a rainfall threshold and 1D MIKE urban drainage model for flood forecasting in the data-scarce city of Alexandria City, Egypt. This dataset includes the output of the downscaled Global Forecasting System which is freely accessible online, WRF preprocessing files and WRF namelist files used to configure the WRF model and the output files of the WRF model for three events: Oct 2015, Dec 2018 and Nov 2020. The WRF model is freely available open source software which be downloaded from the developer's official repository https://github.com/wrf-model

区域数值天气预报（Numerical Weather Prediction, NWP）模式依托全球模式进行初始化时，可提升分辨率并将预报时效延长数日。此类模式可输出更高时空分辨率的预报结果，但计算开销较大，且未必能提升预报精度，在数据匮乏城市中尤为如此。本研究采用两种不同的洪水预报方法，评估了降雨预报模式的尺度依赖性是否满足高分辨率灾害预报需求。本研究首先针对一款高分辨率天气研究与预报（Weather Research and Forecasting, WRF）模式输出的、不同空间分辨率、积云参数化方案及预报时效的降雨预报结果开展评估，随后将其作为输入，结合降雨阈值法与一维MIKE城市排水模型，在数据匮乏的埃及亚历山大市开展洪水预报。本数据集包含降尺度后可在线免费获取的全球预报系统（Global Forecasting System）输出结果、用于配置WRF模式的WRF预处理文件与WRF namelist配置文件，以及2015年10月、2018年12月、2020年11月三个典型事件对应的WRF模式输出文件。WRF模式为开源免费软件，可从开发者官方仓库https://github.com/wrf-model下载。