[Dataset] Mapping uncertainty in flood impacts: a multi-source assessment and catalogue of simulated, remotely sensed and reported floods in Europe

This archive contains the data, scripts and results of the research article "Mapping uncertainty in flood impacts: a multi-source assessment and catalogue of simulated, remotely sensed and reported floods in Europe" submitted to NHESS. Please before downloading or exploring the dataset read the companion paper as it explains the methodology used for its production and its limitations. Dataset use The results published in this archive and completely open and can freely be reused for non-commercial purposes by citing the authors. The purpose of the dataset is to allow further analyses concerning historical riverine floods in europe. For this reason this dataset contains the footprints of floods simulated through EFAS/LISFLOOD/LISFLOOD-FP and the footprints of all those simulated events that were also either observed by the Sentinel-1 constellation or reported in the HANZE dataset, or both.What follows is a more detailed description of the datasets Dataset description The dataset is organized in the following zip folders and files: Results Examples.zip Contains a small subset of the results present in other folders, can be used to view and assess the structure and the use of results environment_full.yml and environment.yml Are yml files to replicate the Python environment used for the realization of the study Results Simulation FLOPROS/P25/No Protections/GFM.xlsx These excel files are tables containing all the information of the original events, including their starting and ending dates, the location, the affected NUTS3 regions the total flooded area and the impacts divided by sector Each excel files contains the results obtained with the use of a protection setting, either FLOPROS, P25 or No Protections, while the GFM file refers to the observed events, clipped to hydrological basins Mapping uncertainty in flood impacts - Script.ipynb Is the Jupyter Notebook containing all the necessary code to replicate the results of the work and the plots Simulation FLOPROS/P25/No Protections.zip These zipped folders contain the .tif files with the flood extent and water depth for each simulated flood (with the given protection setting) and, for each event, also a .xlsx file reporting the impacts in terms of flooded area, affected population and damages by NUTS3 region Each folder contains also a In each folder are stored also 8 .dill files, these files contain a summary of the flood events and have been used in the prodution of the plots of the work The glofas_id_max_depth_list.dill file contains, for each flood, information concerning the river pixels causing the maximum water depth at each location and the Return Period of the maximum water depth The resolution of the .tif images is 100m and the crs is EPSG:27704 Each flood is named with the following naming convention: flooded_area_s1_s2, s3.tif s1: average date of the event s2: region where the centroid of the event falls s3: country where the centroid of the event falls The name of the flood is also the unique Identifier of the flood Data.zip Contains all the publicly available data used in the work, divided by type Data.zip does not contain the HANZE dataset and the GFM dataset, as those can be directly downloaded from their own sources. Links are reported in the article The Discharge.zip subfolder contains also daily and weekly discharges from EFAS v.5 and the ids of the river pixels The Flood Hazard.zip subfolder contains information regarding the influence areas of each river pixel, the hydrological basins, the flood protections and the ids of all the floodplain pixels The Sensitivity Analysis.zip contains the results of the sensitivity analysis Flood peaks.zip This folder contains 2 .dill files and 1 .nc file, the .nc file contains all the identified river flood pekas from 1992 to 2024, the .dill files are instead intermediate files used in the Python scripts Matched events.zip Contains all the .tif images and .xlsx files of the matched events between any combination of dataset and flood protections The .xlsx files are similar to the previous files, but here more information are provided, including which are the ids of the events that were matched and the ID of the matched events The .xlsx files are named starting with "_Matches between...", what comes after this first part reports the 2 or 3 datasets that have been matched In each subfolder (E.g. GFM Simulations and Hanze) the mosaics for each matched event are provided, from all data sources, the names of the files refer to the IDs reported in the respective .xlsx file Resolution and crs are the same as above In the outer folder there are also several .tif files which summarize the results and have been reported in various sections of the article related to this work For more information please do not hesitate to contact the Contact person本归档文件包含提交至《Natural Hazards and Earth System Sciences》（简称NHESS）的研究论文《Mapping uncertainty in flood impacts: a multi-source assessment and catalogue of simulated, remotely sensed and reported floods in Europe》的相关数据、脚本与研究结果。请在下载或探索本数据集前，阅读配套论文以了解其制作方法与局限性。 数据集使用说明 本归档文件中的研究结果完全开源，可在非商业用途下免费复用，只需引用原作者即可。 本数据集旨在支持针对欧洲历史河流洪水的进一步分析，因此包含通过EFAS（欧洲洪水预警系统）、LISFLOOD与LISFLOOD-FP模拟得到的洪水影响范围数据，以及所有被哨兵-1（Sentinel-1）星座观测到、或在HANZE数据集中有记录的模拟洪水事件的影响范围数据（或同时满足两种条件的事件数据）。以下为数据集的详细说明： 数据集说明 本数据集按以下压缩文件夹与文件组织： Results Examples.zip 包含其他文件夹中结果的一小部分子集，可用于查看和评估结果的结构与使用方式。 environment_full.yml 和 environment.yml 为用于复现本研究所用Python运行环境的yml配置文件。 Results Simulation FLOPROS/P25/No Protections/GFM.xlsx 这些Excel文件为包含原始事件全部信息的表格，涵盖事件的起止日期、发生位置、受影响的NUTS3统计区域、总淹没面积，以及按行业分类的灾害影响数据。 每个Excel文件对应一种防洪设置下的模拟结果：分别为FLOPROS、P25或无防洪保护（No Protections），而GFM文件对应经水文流域裁剪后的观测事件结果。 Mapping uncertainty in flood impacts - Script.ipynb 为Jupyter Notebook脚本，包含复现本研究结果与图表所需的全部代码。 Simulation FLOPROS/P25/No Protections.zip 这些压缩文件夹包含对应防洪设置下每场模拟洪水的淹没范围与水深.tif文件；同时，每场事件还附带一个.xlsx文件，记录了按NUTS3统计区域统计的淹没面积、受影响人口与经济损失数据。 每个文件夹中还存储了8个.dill文件，这些文件汇总了洪水事件的相关信息，用于制作本研究的各类图表。 其中glofas_id_max_depth_list.dill文件包含每场洪水的相关信息：包括在各位置造成最大水深的河道像素，以及该最大水深的重现期。 上述.tif图像的空间分辨率为100m，坐标系为EPSG:27704。 每场洪水的命名遵循以下格式：flooded_area_s1_s2_s3.tif，其中： - s1：事件的平均发生日期 - s2：事件质心所在的区域 - s3：事件质心所在的国家 该洪水名称同时也是该洪水事件的唯一标识符。 Data.zip 包含本研究使用的全部公开可用数据，按数据类型分类存储。 本压缩包不包含HANZE数据集与GFM数据集，这两类数据可直接从其官方来源下载，相关链接已在论文中给出。 子文件夹Discharge.zip包含EFAS v.5的日、周径流量数据，以及河道像素的ID编号。 子文件夹Flood Hazard.zip包含各河道像素的影响范围、水文流域、防洪措施，以及所有洪泛区像素的ID编号信息。 子文件夹Sensitivity Analysis.zip包含敏感性分析的研究结果。 Flood peaks.zip 本文件夹包含2个.dill文件与1个.nc文件：其中.nc文件包含1992年至2024年间所有识别出的河道洪水峰值数据；.dill文件为Python脚本中使用的中间文件。 Matched events.zip 包含任意数据集组合与防洪设置下匹配事件的全部.tif图像与.xlsx文件。 此类.xlsx文件与前文所述文件格式类似，但包含更多信息，包括已匹配事件的ID编号与匹配事件的ID。 这类.xlsx文件的命名以_Matches between...开头，后续部分标注了已匹配的2或3种数据集。 在每个子文件夹（例如GFM Simulations and Hanze）中，提供了来自所有数据源的匹配事件镶嵌图，文件名称对应各自.xlsx文件中记录的ID编号。 图像的分辨率与坐标系与前文一致。 根文件夹中还包含多个.tif文件，用于汇总研究结果，已在本研究相关论文的多个章节中使用。 如需获取更多信息，请联系项目联系人。