Rainfall-Runoff Modeling Using Crowdsourced Water Level Data
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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 10<sup>6</sup> 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.
