Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin


Ekmekcioğlu Ö. , Demirel M. C. , Booij M. J.

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, vol.67, pp.759-772, 2022 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 67
  • Publication Date: 2022
  • Doi Number: 10.1080/02626667.2022.2046754
  • Title of Journal : HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
  • Page Numbers: pp.759-772
  • Keywords: mHM, mesoscale hydrologic model, Moselle River, model calibration, spatial resolution, spin-up period, CLIMATE-CHANGE IMPACTS, PARAMETER-ESTIMATION, RIVER-BASIN, STREAMFLOW, CATCHMENT, RAINFALL, TIME, UNCERTAINTY, SENSITIVITY, PERFORMANCE

Abstract

Subjective decisions in hydrologic model calibration can have drastic impacts on our understanding of basin processes and simulated fluxes. Here, we present a multicase calibration approach to determine three pillars of an appropriate hydrological model configuration, i.e. calibration data length, spin-up period, and spatial resolution, using a spatially distributed meso-scale hydrological model (mHM) together with a dynamically dimensioned search (DDS) algorithm and Nash-Sutcliffe efficiency (NSE) for the Moselle basin. The results show that a 10-year calibration data length, 2-year spin-up period, and 4-km model resolution are appropriate for the Moselle basin to reduce the computational burden while simulating streamflow with a decent performance. Although the calibration data length and spatial resolution are related to the extent and quality of the data, and the spin-up period is basin dependent, analysing the combined effects further allowed us to understand the interactions of these three usually overlooked pillars in the mHM configuration.