Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Toward seamless hydrologic predictions across spatial scales

Luis Samaniego, Rohini Kumar, Stephan Thober, Oldřich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach‐Sagi, Sabine Attinger

Hydrology and earth system sciences · 2017

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Summary

Abstract. Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions ranging from catchment-scale (1–10 km) to global-scale (over 50 km) applications. Applying the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the chosen resolution, i.e., fulfills a flux-matching condition across scales. An analysis of state-of-the-art LSMs and HMs reveals that most do not have consistent hydrologic parameter fields. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB, and WaterGAP models demonstrate the pitfalls of deficient parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge's 1982 stateme

Source type
Peer-reviewed study
DOI
10.5194/hess-21-4323-2017
Catalogue ID
SNmokeh3uq-b826ms
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