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

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

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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°), instead of at lumped catchment scale, using an unprecedented database of daily observed streamflow from 4,229 headwater catchments (
Original languageEnglish (US)
JournalJournal of Geophysical Research: Atmospheres
Volume125
Issue number17
DOIs
StatePublished - Sep 16 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-14

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