Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation

Berit Arheimer, Rafael Pimentel, Kristina Isberg, Louise Crochemore, Jafet Andersson, Abdulghani Hasan, Luis Pineda

Hydrology and earth system sciences · 2020

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Summary

Abstract. Recent advancements in catchment hydrology (such as understanding catchment similarity, accessing new data sources, and refining methods for parameter constraints) make it possible to apply catchment models for ungauged basins over large domains. Here we present a cutting-edge case study applying catchment-modelling techniques with evaluation against river flow at the global scale for the first time. The modelling procedure was challenging but doable, and even the first model version showed better performance than traditional gridded global models of river flow. We used the open-source code of the HYPE model and applied it for >130 000 catchments (with an average resolution of 1000 km2), delineated to cover the Earth's landmass (except Antarctica). The catchments were characte

Source type
Peer-reviewed study
DOI
10.5194/hess-24-535-2020
Catalogue ID
SNmokeh3a8-y5nb5f
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