Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY SA
Data sources: ZENODO
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Rainfall-Runoff Modeling Using Crowdsourced Water Level Data

Authors: Weeser, Björn; Jacobs, Suzanne; Kraft, Philipp; Rufino, Mariana; Breuer, Lutz;

Rainfall-Runoff Modeling Using Crowdsourced Water Level Data

Abstract

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.

Keywords

SPOTPY, rainfall-runoff-model, citizen science, CMF, crowdsourcing

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 12
    download downloads 2
  • 12
    views
    2
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
12
2
Related to Research communities
Hessian Open Science Portal