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Merged Global Pluvial Floods DataBase (Input Data)

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Mendeley Data2024-03-27 更新2024-06-30 收录
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This repository contains the input data used in the Jupyter notebook downloadable from Github here. Such input data consists in two main datasets: A raw (global and regional) flood reports from four different databases. A global daily rainfall analysis from NOAA (CPC_GLOBAL_PRCP_v1.0). The Jupyter notebook runs a Python code that post-processes the raw flood reports, using information extracted from other datasets, to select some reports of interest (mainly regarding pluvial and flash floods). At a later stage, such reports are merged into a single database for global pluvial/flash flood reports. The Jupyter notebook also runs a Metview-Python code to visualize partial and final results as map plots. The four original databases are: FloodList, FL (Global domain): http://floodlist.com/ Emergency Events Database, EMDAT (Global domain): https://www.emdat.be/ European Severe Weather Database, ESWD (Europe): https://www.essl.org/cms/european-severe-weather-database/ Storm Events Database, SED (USA): https://www.ncdc.noaa.gov/stormevents/ NOTE: For more details about these databases (documentation, licenses, etc.), look at the README.md file. NOTE: The data in this repository is intended for an exclusive NON-COMMERCIAL academic or personal use, and it is released under the Creative Commons Attribution-ShareAlike 4.0 International Public License. For more information, look at the LICENSE.md file.

本仓库包含可从GitHub下载的Jupyter笔记本中所使用的输入数据。此类输入数据包含两大核心数据集:其一为源自4个不同数据库的原始全球及区域级洪水报告;其二为来自美国国家海洋和大气管理局(NOAA)的全球逐日降水分析数据集(CPC_GLOBAL_PRCP_v1.0)。 该Jupyter笔记本运行Python代码,借助从其他数据集提取的信息对原始洪水报告进行后处理,以筛选出符合研究需求的报告(主要聚焦于城市内涝与山洪灾害)。后续,这些筛选后的报告将被整合为一份全球城市内涝/山洪报告的统一数据库。此外,该Jupyter笔记本还会运行Metview-Python代码,将阶段性与最终结果可视化为地图绘图。 本研究所用的四个原始数据库如下: 1. 洪水清单(FloodList,FL,全球范围):http://floodlist.com/ 2. 紧急事件数据库(Emergency Events Database,EMDAT,全球范围):https://www.emdat.be/ 3. 欧洲极端天气数据库(European Severe Weather Database,ESWD,欧洲范围):https://www.essl.org/cms/european-severe-weather-database/ 4. 风暴事件数据库(Storm Events Database,SED,美国范围):https://www.ncdc.noaa.gov/stormevents/ 注:如需了解这些数据库的更多细节(包括文档、许可协议等内容),请查看README.md文件。 注:本仓库中的数据仅可用于非商业性质的学术研究或个人用途,并已根据《知识共享署名-相同方式共享4.0国际公共许可协议》(Creative Commons Attribution-ShareAlike 4.0 International Public License)发布。如需了解更多相关信息,请查看LICENSE.md文件。

创建时间:
2023-06-28
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