Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments

Beck, Hylke E.; Pan, Ming; Lin, Peirong; Seibert, Jan; van Dijk, Albert I. J. M.; Wood, Eric F.

doi:10.1029/2019JD031485

Abstract

All hydrological models need to be calibrated to obtain satisfactory streamflow simulations. Here we present a novel parameter regionalization approach that involves the optimization of transfer equations linking model parameters to climate and landscape characteristics. The optimization was performed in a fully spatially distributed fashion at high resolution (0.05 degrees), instead of at lumped catchment scale, using an unprecedented database of daily observed streamflow from 4,229 headwater catchments (

Published in

Journal of geophysical research. Atmospheres
2020, volume: 125, number: 17, article number: e2019JD031485
Publisher: AMER GEOPHYSICAL UNION

SLU Authors

Seibert, Jan
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
- Stockholm University
- University of Zürich

UKÄ Subject classification

Oceanography, Hydrology, Water Resources

Publication identifier

DOI: https://doi.org/10.1029/2019JD031485

Permanent link to this page (URI)

https://res.slu.se/id/publ/108146