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Project

Development of a clustering strategy for computational efficient, physically based, hydrologic modelling

The overall research objective is to develop a computationally efficient strategy to perform simulations of spatially distributed, physically based hydrologic models at a large scale and at a fine spatio-temporal resolution. More specifically a clustering of grid cells with a similar hydrologic response will be performed in order to reduce the computation time, without a considerable loss of predictive power.

Date:1 Oct 2012 →  30 Sep 2016
Keywords:hydrologic modelling, hydrologic response, clustering
Disciplines:Physical geography and environmental geoscience, Programming languages, Computer architecture and networks, Visual computing, Theoretical computer science, Scientific computing, Other information and computing sciences, Distributed computing, Information sciences, Information systems, Geophysics