Mathematical Modeling of Whole Landscape Evolution

By G. Willgoose. 2005

196 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/2ac84d14aa33890e20410e69422c8b23a45b6b8d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. J. Perron
2. Peter Troch
3. Wolfgang Schwanghart
4. Thorsten Wagener
5. Hoshin V. Gupta
6. D. Scherler
7. C. Harman

In Ecology

1. J. Perron
2. Wolfgang Schwanghart
3. D. Scherler

In Management, Monitoring, Policy and Law

1. J. Perron
2. Wolfgang Schwanghart
3. Murugesu Sivapalan
4. D. Scherler

Citations in the corpus

• The future of hydrology: An evolving science for a changing world (2010, background): “…body of work has enabled significant advances toward a predictive understanding of the space‐time structure and functioning of stream networks [e.g., Willgoose, 2005], vegetation [e.g., Rodriguez‐Iturbe et al., 1999; Newman et al., 2006], and stream‐vegetation interactions [e.g., Ivanov et al.,…”
• Numerical methods for nonlinear hillslope transport laws (2011, background): “Discrete‐Flux Implicit Method [14] Equations for alluvial sediment transport pose a similar challenge to equation (3), in that explicit numerical methods are subject to stability constraints that require very short time steps [Willgoose et al., 1991; Howard, 1994; Willgoose, 2005], while the form of”
• Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences (2014, background): “Computation speed is particularly significant when repeatedly calculating flow networks and accumulation areas, such as in numerical LEMs (e.g., Willgoose, 2005; Pelletier, 2008; Tucker and Hancock, 2010).”