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Distributed hydrological modelling using weather radar in gauged and ungauged basins

Cole, Steven J.; Moore, Robert J.. 2008 Distributed hydrological modelling using weather radar in gauged and ungauged basins. In: International Symposium on Weather Radar and Hydrology, Grenoble, 10-12 March 2008.

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Abstract/Summary

Distributed hydrological modelling using space-time estimates of rainfall from weather radar provides a natural approach to area-wide flood forecasting and warning at any location, whether gauged or ungauged. However, radar estimates of rainfall may lack consistent, quantitative accuracy. Also, the formulation of hydrological models in distributed form may be problematic due to process complexity and scaling issues. The aim is to first explore new ways of improving radar rainfall accuracy through combination with raingauge network data. Integrated multiquadric schemes are developed as spatial estimators of rainfall using weather radar and raingauge data. Secondly, simple forms of physical-conceptual distributed hydrological model are considered, capable of exploiting spatial datasets on topography and, where necessary, land-cover, soil and geology properties. The simplest grid-to-grid model uses digital terrain data alone to delineate flow pathways and to control runoff production, the latter by invoking a probability-distributed slope-capacity relation. Model performance is assessed over nested river basins in northwest England, employing a lumped model as a reference. When the distributed model is used with the gridded rainfall estimators it shows particular benefits for forecasting at ungauged locations.

Item Type: Publication - Conference Item (Paper)
Programmes: CEH Programmes pre-2009 publications > Water > WA01 Water extremes > WA01.2 New methodologies to solve the ungauged site problem
UKCEH and CEH Sections/Science Areas: Boorman (to September 2014)
NORA Subject Terms: Earth Sciences
Hydrology
Related URLs:
Date made live: 14 May 2008 13:49 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/2640

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