Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2017-233
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
25 Apr 2017
Review status
This discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Spatial pattern evaluation of a calibrated national hydrological model – a remote sensing based diagnostic approach
Gorka Mendiguren, Julian Koch, and Simon Stisen Department of hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Abstract. Distributed hydrological models are traditionally evaluated against discharge stations, emphasizing the temporal and neglecting the spatial component of a model. The present study widens the traditional paradigm by highlighting spatial patterns of evapotranspiration (ET), a key variable at the land-atmosphere interface, obtained from two different approaches at the national scale of Denmark. The first approach is based on a national water resources model (DK-model), using the MIKE-SHE model code, and the second approach utilizes a two source energy balance model (TSEB) driven mainly by satellite remote sensing data.

The main hypothesis of the study is that while both approaches are essentially estimates, the spatial patterns of the remote sensing based approach are explicitly driven by observed land surface temperature and therefore represent the most direct spatial pattern information of ET; enabling its use for distributed hydrological model evaluation. Ideally the hydrological model simulation and remote sensing based approach should present similar spatial patterns and driving mechanism of ET. However, the spatial comparison showed that the differences are significant and indicating insufficient spatial pattern performance of the hydrological model.

The differences in spatial patterns can partly be explained by the fact that the hydrological model is configured to run in 6 domains that are calibrated independently from each other, as it is often the case for large scale multi-basin calibrations. Furthermore, the model incorporates predefined temporal dynamics of Leaf Area Index (LAI), root depth (RD) and Crop coefficient (Kc) for each land cover type. This zonal approach of model parametrization ignores the spatio-temporal complexity of the natural system. To overcome this limitation, the study features a modified version of the DK-Model in which LAI, RD, and KC are empirically derived using remote sensing data and detailed soil property maps in order to generate a higher degree of spatio-temporal variability and spatial consistency between the 6 domains. The effects of these changes are analyzed by using the empirical orthogonal functions (EOF) analysis to evaluate spatial patterns. The EOF-analysis shows that including remote sensing derived LAI, RD and KC in the distributed hydrological model adds spatial features found in the spatial pattern of remote sensing based ET.


Citation: Mendiguren, G., Koch, J., and Stisen, S.: Spatial pattern evaluation of a calibrated national hydrological model – a remote sensing based diagnostic approach, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2017-233, in review, 2017.
Gorka Mendiguren et al.
Gorka Mendiguren et al.
Gorka Mendiguren et al.

Viewed

Total article views: 493 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
426 60 7 493 2 9

Views and downloads (calculated since 25 Apr 2017)

Cumulative views and downloads (calculated since 25 Apr 2017)

Viewed (geographical distribution)

Total article views: 493 (including HTML, PDF, and XML)

Thereof 487 with geography defined and 6 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 23 May 2017
Publications Copernicus
Download
Short summary
The present study is focus in the spatial patterns evaluation of two models and describes the similarities and dissimilarities. It discusses also the factors that are generating these patterns and proposes same new approaches to minimize the differences. The study points towards a new approach in which the spatial component of the hydrological model is also calibrated and taken into account.
The present study is focus in the spatial patterns evaluation of two models and describes the...
Share