Articles | Volume 22, issue 9
Hydrol. Earth Syst. Sci., 22, 4633–4648, 2018
https://doi.org/10.5194/hess-22-4633-2018
Hydrol. Earth Syst. Sci., 22, 4633–4648, 2018
https://doi.org/10.5194/hess-22-4633-2018

Research article 06 Sep 2018

Research article | 06 Sep 2018

A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations

Alessio Pugliese et al.

Data sets

Geostatistical Enhancement of European Hydrological Predictions (GEEHP): a SWITCH-ON experiment protocol A. Pugliese, S. Persiano, S. Bagli, P. Mazzoli, J. Parajka, B. Arheimer, R. Capell, A. Montanari, G. Blöschl, G., and A. Castellarin http://dl-ng005.xtr.deltares.nl/view/462/

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Short summary
This research work focuses on the development of an innovative method for enhancing the predictive capability of macro-scale rainfall–runoff models by means of a geostatistical apporach. In our method, one can get enhanced streamflow simulations without any further model calibration. Indeed, this method is neither computational nor data-intensive and is implemented only using observed streamflow data and a GIS vector layer with catchment boundaries. Assessments are performed in the Tyrol region.