Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4323-2017
https://doi.org/10.5194/hess-21-4323-2017
Research article
 | 
01 Sep 2017
Research article |  | 01 Sep 2017

Toward seamless hydrologic predictions across spatial scales

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

Data sets

German data set Zink et al. https://www.ufz.de/drp/de/index.php?drp_data%5Bmvc%5D=Search%2Fsearch&drp_data%5Bfilter%5D%5Barchive%5D=on&drp_data%5Bkeywords%5D=Water+fluxes+and+states+dataset+for+Germany+from+1951+to+2010 https://doi.org/10.5194/hess-21-1769-2017

Model code and software

mHM Samaniego et al. http://www.ufz.de/index.php?en=40114 https://doi.org/10.1029/2008WR007327

PCR-GLOBWB Ludovicus P. H. (Rens) van Beek et al. https://github.com/UU-Hydro/PCR-GLOBWB_model/blob/develop/README.txt https://doi.org/10.1029/2010WR009792

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Short summary
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.