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Marie-Claire ten Veldhuis

Researcher at Delft University of Technology

Publications -  65
Citations -  1047

Marie-Claire ten Veldhuis is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 13, co-authored 42 publications receiving 738 citations. Previous affiliations of Marie-Claire ten Veldhuis include Rutgers University & Princeton University.

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Impact of spatial and temporal resolution of rainfall inputs on urban hydrodynamic modelling outputs: A multi-catchment investigation

TL;DR: In this paper, the authors investigated the impact of rainfall input resolution on the outputs of detailed hydrodynamic models of seven urban catchments in North-West Europe, and identified critical rainfall resolutions to accurately characterize catchment response to nine storm events measured by a dual-polarimetric X-band weather radar.
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Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

TL;DR: A review of the current understanding of hydrological processes in urban environments as reported in the literature, focusing on their spatial and temporal variability aspects is presented in this paper, where the authors identify gaps where knowledge needs to be further developed to improve the understanding of and capability to predict urban hydrologogical response.
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Weather radar rainfall data in urban hydrology

TL;DR: In this paper, a review of the state of the art in radar rainfall data and applications is presented, focusing on three key areas with significant advances over the past decade: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applications.
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The complexities of urban flood response : Flood frequency analyses for the Charlotte metropolitan region

TL;DR: In this paper, the authors examined urban flood response through data-driven analyses for a diverse sample of watersheds (basin scale ranging from 7.0 to 111.1 km2) in the Charlotte metropolitan region.
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Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

TL;DR: The main findings of this paper enable a replacement of traditional methods of “model calibration” by innovative methods of "model resolution alteration” based on the spatial data variability and scaling of flows in urban hydrology.