Rainfall-Runoff Modeling Using Crowdsourced Water Level Data

Input data, geodata, model outputs, and Python scripts used for running and analyzing the hydrological model CMF (parameterized using SPOTPY) in the frame of the publication "Rainfall-Runoff Modeling Using Crowdsourced Water Level Data" by Weeser et al. (Water Resource Research). The folder WRR_CrowdMod_2019_08_23.zip contains: Folder <em>input_data</em>: Input data used for the model Folder <em>script_model</em>: The model including the SPOTPY set-up for calibration and validation Subfolder <em>parameter_validation</em>: Parameter sets used during validation for all analyzed scenarios Subfolder <em>parameter_fluxes</em>: Parameter sets used for the analysis of the fluxes Folder <em>calibration</em>: Model output during calibration with all 10⁶ runs Folder <em>validation</em>: Model outputs generated during validation Subfolder <em>accepted_simulation_results</em>: modeled discharge by using all accepted parameter sets for each scenario Folder <em>Fluxes</em>: The fluxes released by the different model components 4 Jupyter notebooks: 1_calibration: Script for analyzing the model output generated during calibration. Generates the parameter sets used for validation 2_validation: Analyze the results during validation 3_fig5_calibration_validation: Script used to generate figure 5 4_fig6_fluxes: Script used to generate figure 6 showing the fluxes within the model during validation The folder geodata contains two shapefiles representing the spatial data of the catchment.本数据集包含Weeser等人于期刊《Water Resource Research》发表的论文《Rainfall-Runoff Modeling Using Crowdsourced Water Level Data》中，用于运行与分析采用SPOTPY进行参数化的水文模型CMF的输入数据、地理空间数据、模型输出结果及Python脚本。 压缩包WRR_CrowdMod_2019_08_23.zip内含以下内容： <em>input_data</em>文件夹：模型运行所用的输入数据 <em>script_model</em>文件夹：集成了SPOTPY校准与验证设置的模型脚本 <em>parameter_validation</em>子文件夹：所有分析场景在验证阶段使用的参数集 <em>parameter_fluxes</em>子文件夹：用于通量分析的参数集 <em>calibration</em>文件夹：校准阶段的模型输出结果，包含全部10⁶次运行的所有结果 <em>validation</em>文件夹：验证阶段生成的模型输出结果 <em>accepted_simulation_results</em>子文件夹：针对每个场景使用全部已接受参数集模拟得到的径流量数据 <em>Fluxes</em>文件夹：不同模型组分产生的通量数据 此外包含4个Jupyter笔记本脚本： 1. 1_calibration：用于分析校准阶段生成的模型输出结果，并生成验证阶段所需参数集的脚本 2. 2_validation：用于分析验证阶段的实验结果 3. 3_fig5_calibration_validation：用于生成图5的脚本 4. 4_fig6_fluxes：用于生成展示验证阶段模型内部通量的图6的脚本 geodata文件夹包含两个表征流域空间数据的形状文件（shapefile）。