G
Greg Hancock
Researcher at University of Newcastle
Publications - 131
Citations - 4294
Greg Hancock is an academic researcher from University of Newcastle. The author has contributed to research in topics: Erosion & Landscape evolution model. The author has an hindex of 35, co-authored 120 publications receiving 3724 citations. Previous affiliations of Greg Hancock include Newcastle University.
Papers
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Journal ArticleDOI
Revisiting the hypsometric curve as an indicator of form and process in transport-limited catchment
Garry Willgoose,Greg Hancock +1 more
TL;DR: In this paper, the SIBERIA catchment evolution model was used to explore linkages between catchment process and hypsometry, and it was shown that the width to length ratio of the catchment has a significant influence on the shape of the hypsometric curve.
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Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution
Tom J. Coulthard,Jeffrey Neal,Paul D. Bates,Jorge Ramirez,Gustavo A. M. de Almeida,Greg Hancock +5 more
TL;DR: The CAESAR-Lisflood-FP simplified 2D flow model as discussed by the authors solves a reduced form of the shallow water equations using a very simple numerical scheme, thus generating a significant increase in computational efficiency over previous hydrodynamic methods.
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Eco-geomorphology of banded vegetation patterns in arid and semi-arid regions
TL;DR: In this article, the dynamics of these systems are investigated using a new modeling framework that couples landform and vegetation evolution, explicitly accounting for the dynamic run-on-runoff areas.
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Goulburn River experimental catchment data set
Christoph Rudiger,Christoph Rudiger,Greg Hancock,Herbert M. Hemakumara,Barry Jacobs,Jetse D. Kalma,Cristina Martínez,Mark Thyer,Jeffrey P. Walker,Tony Wells,Garry Willgoose +10 more
TL;DR: In this article, the data set comprises soil temperature and moisture profile measurements from 26 locations; meteorological data from two automated weather stations (data from a further three stations are available from other sources) including precipitation, atmospheric pressure, air temperature and relative humidity, wind speed and direction, soil heat flux, and up-and down-welling shortand long-wave radiation; streamflow observations at five nested locations.
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Medium-term erosion simulation of an abandoned mine site using the SIBERIA landscape evolution model
TL;DR: The SIBERIA landform evolution model can accurately predict the rate of gully development on a man-made post-mining landscape over periods of up to 50 years.