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

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Additional details

Funding

Robust and transparent planning and operation of water resource infrastructure EP/R007330/1
UK Research and Innovation