Published November 8, 2019 | Version v1
Dataset Open

Data and R-Scripts for: Value of crowd-based water level class observations for hydrological model calibration

  • 1. University of Zurich, Department of Geography

Description

This dataset corresponds to the study
"Value of crowd-based water level class observations for hydrological model calibration"
submitted to Water Resources Research in August 2019.

Please use the R-Scripts in ascending numbers and adapt the paths to where you stored the files.
The helpfunctions.R will be used by some of the scripts and you might
want to adapt a path in line 356 for it to be used correctly with the scripts 8a and 8b.

The parameter ranges used for the HBV calibration can be found in the "Parameters and parameter ranges.pdf"

If you do not wish to calibrate the model, and just perform some statistics
start with script 7 and use the
- CrossValidation_stats_all.txt in the LUT Tables folder which contains
  all model performances.
- CrossValidation_stats_WP1.txt contains also results of the upper benchmark
  (only those labelled with no error and hourly).
- RandomParamPerformance_Validation.txt contains the results of the random parameters
  (lower benchmark).
- The folders Validation Results and Calibration Results contain the files in HBV-format after the model
  calibration and validatin were completed. The results of the Calibration and Validation files are also summarized
  in the aforementioned txt-files within script 6 -HBV CrossValidation.R.
Please be aware that for the study only the catchments Murg, Guerbe, Mentue, and Verzasca were used!


If you run into trouble using the data please contact simon.etter[at]outlook.com.

Co-authors are:
Prof. Dr. Jan Seibert - jan.seibert[at]geo.uzh.ch
Dr. Ilja (H.J.) van Meerveld - ilja.vanmeerveld[at]geo.uzh.ch
Barbara Strobl - barbara.strobl[at]geo.uzh.ch

Files

Calibration Results.zip

Files (26.9 GB)

Name Size Download all
md5:9c99fb8df1bb7b6e7557ac37f2aa26fb
9.4 GB Preview Download
md5:048acfc5ebbab2ef589a3b3309947b3e
2.7 MB Preview Download
md5:e0f8c621cbac59536c024217c4f90482
12.9 MB Preview Download
md5:439f6e3fc6668dab04dd899e33559f55
144.1 kB Preview Download
md5:bd5ef9db902a55c3729b302a1b72dad6
63.5 kB Preview Download
md5:d0d2a6d9ca50b606b7979ec533cbd6cc
1.6 kB Preview Download
md5:07bd0018cf6e95979b26196fada8968c
3.7 GB Preview Download
md5:a6eeec4915e9a5783c37370878b4d949
13.8 GB Preview Download
md5:90f57b2820e47fc53ee50cfb3723b1e6
8.2 MB Preview Download

Additional details

Funding

Swiss National Science Foundation
Crowd-based data collection for hydrology and water resources research (CrowdWater) 200021_163008