Published May 8, 2023
| Version 1.1
Dataset
Open
Towards Parameter Estimation in Global Hydrological Models
- 1. Ruhr-University Bochum
- 2. Johannes Gutenberg-University Mainz
- 3. University of Bristol
- 4. University of Potsdam
Description
The provided elementary effects are used in the publication J. Kupzig, R. Reinecke, F. Pianosi, M.Flörke and T. Wagener: Towards Parameter Estimation in Global Hydrological Models (submitted to Environmental Research Letters in Feb 2023).
In a large sample study, the Morris Method (Morris 1991) application produces the provided elementary effects using a new lightweight version of the global hydrological model WaterGAP3: WaterGAPLite.
- elementary_effects.zip : elementary effects for all 50 trajectories and all basins (each trajectory is the result of 18 model runs; used bounds of parameters can be found in the Supplement of the manuscript)
- results_overview.xlsx: parameter ranks for each basin and different evaluation criteria based on the elementary effects.
- MC_Sample.csv: normalized parameter samples of the additional Monte-Carlo Simulation (used bounds of parameters are the same as for the Morris method)
- MC_NSE.csv: resulting NSE values of the Monte-Carlo simulation
- better_performing_basins.csv: list of basins (using GRDC no.) where minimal NSE is greater than -1 within all Monte-Carlo runs
- standard_calib.csv: calibrated gamma value for each basin and corresponding evaluation criteria, using the standard calibration for WaterGAP3 (fit to mean discharge)
- standard_calib_mod.csv: calibrated gamma value for each basin and corresponding evaluation criteria, using a modified version of the standard calibration for WaterGAP3 (maximizing the NSE)
Files
better_performing_basins.csv
Files
(58.7 MB)
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Additional details
Funding
- Robust and transparent planning and operation of water resource infrastructure EP/R007330/1
- UK Research and Innovation