Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/hess-21-4323-2017
Title (Primary) Toward seamless hydrologic predictions across spatial scales
Author Samaniego, L. ORCID logo ; Kumar, R. ORCID logo ; Thober, S.; Rakovec, O. ORCID logo ; Zink, M.; Wanders, N.; Eisner, S.; Müller Schmied, H.; Sutanudjaja, E.H.; Warrach-Sagi, K.; Attinger, S.
Source Titel Hydrology and Earth System Sciences
Year 2017
Department CHS
Volume 21
Issue 9
Page From 4323
Page To 4346
Language englisch
UFZ wide themes RU5;
Abstract Land surface and hydrologic models (LSM/HM) are used at diverse spatial resolutions ranging from 1–10 km in catchment-scale applications to over 50 km in global-scale applications. Application of the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the model resolution and fulfills a flux-matching condition across scales. An analysis of state-of-the-art LSMs and HMs reveals that most do not have consistent and realistic parameter fields for land surface geophysical properties. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB and WaterGAP models are conducted to demonstrate the pitfalls of poor 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 statement on the unsolved problem of parameterization in these models remains true. We provide a short review of existing parameter regionalization techniques and discuss a method for obtaining seamless hydrological predictions of water fluxes and states across multiple spatial resolutions. The multiscale parameter regionalization (MPR) technique is a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. A general model protocol is presented to describe how MPR can be applied to a specific model, with an example of this application using the PCR-GLOBWB model. Applying MPR to PCR-GLOBWB substantially improves the flux-matching condition. Estimation of evapotranspiration without MPR at 5 arcmin and 30 arcmin spatial resolutions for the Rhine river basin results in a difference of approximately 29 %. Applying MPR reduce this difference to 9 %. For total soil water, the differences without and with MPR are 25 % and 7 %, respectively.
Persistent UFZ Identifier
Samaniego, L., Kumar, R., Thober, S., Rakovec, O., Zink, M., Wanders, N., Eisner, S., Müller Schmied, H., Sutanudjaja, E.H., Warrach-Sagi, K., Attinger, S. (2017):
Toward seamless hydrologic predictions across spatial scales
Hydrol. Earth Syst. Sci. 21 (9), 4323 - 4346 10.5194/hess-21-4323-2017