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Stuart W. D. Grieve

Researcher at Queen Mary University of London

Publications -  32
Citations -  579

Stuart W. D. Grieve is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 10, co-authored 20 publications receiving 414 citations. Previous affiliations of Stuart W. D. Grieve include University College London & University of Edinburgh.

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A statistical framework to quantify spatial variation in channel gradients using the integral method of channel profile analysis

TL;DR: In this paper, a statistical technique for analyzing longitudinal channel profiles is presented, which is based on the integral approach to channel analysis: drainage area is integrated over flow distance to produce a transformed coordinate, χ, which has dimensions of length.
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Aridity is expressed in river topography globally.

TL;DR: A global dataset of river longitudinal profiles is presented and it is shown that river profiles become straighter with increasing aridity and numerical modelling suggests that this can be explained by rainfall–runoff regimes in different climate zones.
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How long is a hillslope

TL;DR: In this paper, the authors use a digital elevation model (DEM) to estimate catchment average hillslope lengths, based on flow directions calculated using pixel aspect until reaching the channel network, defined using recently developed channel extraction algorithms.
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How does grid-resolution modulate the topographic expression of geomorphic processes?

TL;DR: In this article, the relationship between curvature and grid resolution is explored, alongside the estimation of the hillslope sediment transport coefficient (D, in m2'yr−1) for each landscape.
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The CAIRN method: automated, reproducible calculation of catchment-averaged denudation rates from cosmogenic nuclide concentrations

TL;DR: In this paper, a catchment-averaged denudation rate from cosmogenic nuclide concentrations is calculated by combining production scaling and topographic shielding algorithms on a pixel-by-pixel basis.