Articles | Volume 8, issue 2
Earth Surf. Dynam., 8, 431–445, 2020
Earth Surf. Dynam., 8, 431–445, 2020

Research article 02 Jun 2020

Research article | 02 Jun 2020

Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations

Richard Barnes et al.

Related authors

Computing water flow through complex landscapes – Part 3: Fill–Spill–Merge: flow routing in depression hierarchies
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 9, 105–121,,, 2021
Short summary

Related subject area

Physical: Landscape Evolution: modelling and field studies
Groundwater erosion of coastal gullies along the Canterbury coast (New Zealand): a rapid and episodic process controlled by rainfall intensity and substrate variability
Aaron Micallef, Remus Marchis, Nader Saadatkhah, Potpreecha Pondthai, Mark E. Everett, Anca Avram, Alida Timar-Gabor, Denis Cohen, Rachel Preca Trapani, Bradley A. Weymer, and Phillipe Wernette
Earth Surf. Dynam., 9, 1–18,,, 2021
Short summary
Erosional response of granular material in landscape models
Riccardo Reitano, Claudio Faccenna, Francesca Funiciello, Fabio Corbi, and Sean D. Willett
Earth Surf. Dynam., 8, 973–993,,, 2020
Short summary
Transport-limited fluvial erosion – simple formulation and efficient numerical treatment
Stefan Hergarten
Earth Surf. Dynam., 8, 841–854,,, 2020
Short summary
Inferring potential landslide damming using slope stability, geomorphic constraints and run-out analysis; case study from the NW Himalaya
Vipin Kumar, Imlirenla Jamir, Vikram Gupta, and Rajinder K. Bhasin
Earth Surf. Dynam. Discuss.,,, 2020
Revised manuscript under review for ESurf
Short summary
Dimensional analysis of a landscape evolution model with incision threshold
Nikos Theodoratos and James W. Kirchner
Earth Surf. Dynam., 8, 505–526,,, 2020
Short summary

Cited articles

Akiba, T.: Software: Radix-Heap, Commit f54eba0a19782c67a9779c28263a7ce680995eda, available at: (last access: 20 May 2020), 2015. a, b
Arnold, N.: A new approach for dealing with depressions in digital elevation models when calculating flow accumulation values, Prog. Phys. Geog., 34, 781–809,, 2010. a, b
Barnes, R.: Parallel Priority-Flood Depression Filling For Trillion Cell Digital Elevation Models On Desktops Or Clusters, Comput. Geosci., 96, 56–68,, 2016a. a
Barnes, R.: RichDEM: Terrain Analysis Software, Zenodo,, 2016b. a
Barnes, R. and Callaghan, K.: Depression Hierarchy Source Code, Zenodo,, 2019. a, b, c
Short summary
Maps of elevation are used to help predict the flow of water so we can better understand landslides, floods, and global climate change. However, modeling the flow of water is difficult when elevation maps include swamps, lakes, and other depressions. This paper explains a new method that overcomes these difficulties, allowing models to run faster and more accurately.