Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4451-2016
https://doi.org/10.5194/gmd-9-4451-2016
Development and technical paper
 | 
15 Dec 2016
Development and technical paper |  | 15 Dec 2016

A computationally efficient depression-filling algorithm for digital elevation models, applied to proglacial lake drainage

Constantijn J. Berends and Roderik S. W. van de Wal

Related authors

Miocene Antarctic Ice Sheet area adapts significantly faster than volume to CO2-induced climate change
Lennert B. Stap, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 257–266, https://doi.org/10.5194/cp-20-257-2024,https://doi.org/10.5194/cp-20-257-2024, 2024
Short summary
Late Pleistocene glacial terminations accelerated by proglacial lakes
Meike Scherrenberg, Constantijn Berends, and Roderik van de Wal
Clim. Past Discuss., https://doi.org/10.5194/cp-2023-42,https://doi.org/10.5194/cp-2023-42, 2023
Revised manuscript under review for CP
Short summary
Compensating errors in inversions for subglacial bed roughness: same steady state, different dynamic response
Constantijn J. Berends, Roderik S. W. van de Wal, Tim van den Akker, and William H. Lipscomb
The Cryosphere, 17, 1585–1600, https://doi.org/10.5194/tc-17-1585-2023,https://doi.org/10.5194/tc-17-1585-2023, 2023
Short summary
Modelling feedbacks between the Northern Hemisphere ice sheets and climate during the last glacial cycle
Meike D. W. Scherrenberg, Constantijn J. Berends, Lennert B. Stap, and Roderik S. W. van de Wal
Clim. Past, 19, 399–418, https://doi.org/10.5194/cp-19-399-2023,https://doi.org/10.5194/cp-19-399-2023, 2023
Short summary
Benchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0)
Constantijn J. Berends, Heiko Goelzer, Thomas J. Reerink, Lennert B. Stap, and Roderik S. W. van de Wal
Geosci. Model Dev., 15, 5667–5688, https://doi.org/10.5194/gmd-15-5667-2022,https://doi.org/10.5194/gmd-15-5667-2022, 2022
Short summary

Related subject area

Numerical methods
HETerogeneous vectorized or Parallel (HETPv1.0): an updated inorganic heterogeneous chemistry solver for the metastable-state NH4+–Na+–Ca2+–K+–Mg2+–SO42−–NO3–Cl–H2O system based on ISORROPIA II
Stefan J. Miller, Paul A. Makar, and Colin J. Lee
Geosci. Model Dev., 17, 2197–2219, https://doi.org/10.5194/gmd-17-2197-2024,https://doi.org/10.5194/gmd-17-2197-2024, 2024
Short summary
Three-dimensional geological modelling of igneous intrusions in LoopStructural v1.5.10
Fernanda Alvarado-Neves, Laurent Ailleres, Lachlan Grose, Alexander R. Cruden, and Robin Armit
Geosci. Model Dev., 17, 1975–1993, https://doi.org/10.5194/gmd-17-1975-2024,https://doi.org/10.5194/gmd-17-1975-2024, 2024
Short summary
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17)
André R. Brodtkorb, Anna Benedictow, Heiko Klein, Arve Kylling, Agnes Nyiri, Alvaro Valdebenito, Espen Sollum, and Nina Kristiansen
Geosci. Model Dev., 17, 1957–1974, https://doi.org/10.5194/gmd-17-1957-2024,https://doi.org/10.5194/gmd-17-1957-2024, 2024
Short summary
Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
Kees Nederhoff, Maarten van Ormondt, Jay Veeramony, Ap van Dongeren, José Antonio Álvarez Antolínez, Tim Leijnse, and Dano Roelvink
Geosci. Model Dev., 17, 1789–1811, https://doi.org/10.5194/gmd-17-1789-2024,https://doi.org/10.5194/gmd-17-1789-2024, 2024
Short summary
An automatic mesh generator for coupled 1D–2D hydrodynamic models
Younghun Kang and Ethan J. Kubatko
Geosci. Model Dev., 17, 1603–1625, https://doi.org/10.5194/gmd-17-1603-2024,https://doi.org/10.5194/gmd-17-1603-2024, 2024
Short summary

Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, National Oceanic and Atmospheric Administration Technical Memorandum NESDIS NGDC-24, https://doi.org/10.7289/V5C8276M, 2009.
Arnold, N.: A new approach for dealing with depressions in digital elevation models when calculating flow accumulation values, Prog. Phys. Geog., 34, 781–809, https://doi.org/10.1177/0309133310384542, 2010.
Barber, D. C., Dyke, A., Hillaire-Marcel, C., Jennings, A. E., Andrews, J. T., Kerwin, M. W., Bilodeau, G., McNeely, R., Southon, J., Morehead, M. D., and Gagnon, J.-M.: Forcing of the cold event of 8,200 years ago by catastrophic drainage of Laurentide lakes, Nature, 34, 781–809, https://doi.org/10.1038/22504, 1999.
Broecker, W. S., Kenett, J. P., Flower, B. P., Teller, J., Trumbore, S., Bonani, G., and Wolfli, W.: Routing of meltwater from the Laurentide Ice Sheet during the Younger Dryas cold episode, Nature, 341, 318–321, https://doi.org/10.1038/341318a0, 1989.
Clark, P. U., Marshall, S. J., Clarke, G., Hostetler, S. W., Licciardi, J. M., and Teller, J.: Freshwater Forcing of Abrupt Climate Change During the Last Glaciation, Science, 293, 283–287, https://doi.org/10.1038/341318a0, 2001.
Download
Short summary
This paper describes several improvements to the so-called "flood-fill algorithm" – a computer program widely known for its use in the "paint bucket" tool in several drawing programs such as MS Paint. However, it can also be used to determine the extent and depth of lakes in a topography map, which is useful in hydrology and climatology. In such cases, the default algorithm can be too slow to be of much use. Our improvements can make it up to 100 times faster, making it much more feasible.