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 input_data: Input data used for the model

Folder script_model: The model including the SPOTPY set-up for calibration and validation

Subfolder parameter_validation: Parameter sets used during validation for all analyzed scenarios

Subfolder parameter_fluxes: Parameter sets used for the analysis of the fluxes

Folder calibration: Model output during calibration with all 106 runs

Folder validation: Model outputs generated during validation

Subfolder accepted_simulation_results: modeled discharge by using all accepted parameter sets for each scenario

Folder Fluxes: 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.