Articles | Volume 7, issue 3
https://doi.org/10.5194/esurf-7-737-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-737-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill
Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA
Andrew D. Wickert
Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA
Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA
Related authors
Kerry L. Callaghan, Andrew D. Wickert, Richard Barnes, and Jacqueline Austermann
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-131, https://doi.org/10.5194/gmd-2024-131, 2024
Revised manuscript under review for GMD
Short summary
Short summary
We present the Water Table Model (WTM), which simulates groundwater and lake levels at continental scales over millennia. Our simulations show that North America held more ground- and lake-water at the Last Glacial Maximum than in the present day – enough to lower sea level by 6 cm. We also simulate the changing water table from 21,000 to 16,000 years ago, finding that groundwater storage decreased following reduced precipitation in the model inputs. Open-source WTM code is available on Github.
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 9, 105–121, https://doi.org/10.5194/esurf-9-105-2021, https://doi.org/10.5194/esurf-9-105-2021, 2021
Short summary
Short summary
Existing ways of modeling the flow of water amongst landscape depressions such as swamps and lakes take a long time to run. However, as our previous work explains, depressions can be quickly organized into a data structure – the depression hierarchy. This paper explains how the depression hierarchy can be used to quickly simulate the realistic filling of depressions including how they spill over into each other and, if they become full enough, how they merge into one another.
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 8, 431–445, https://doi.org/10.5194/esurf-8-431-2020, https://doi.org/10.5194/esurf-8-431-2020, 2020
Short summary
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.
Matias Romero, Shanti B. Penprase, Maximillian S. Van Wyk de Vries, Andrew D. Wickert, Andrew G. Jones, Shaun A. Marcott, Jorge A. Strelin, Mateo A. Martini, Tammy M. Rittenour, Guido Brignone, Mark D. Shapley, Emi Ito, Kelly R. MacGregor, and Marc W. Caffee
Clim. Past, 20, 1861–1883, https://doi.org/10.5194/cp-20-1861-2024, https://doi.org/10.5194/cp-20-1861-2024, 2024
Short summary
Short summary
Investigating past glaciated regions is crucial for understanding how ice sheets responded to climate forcings and how they might respond in the future. We use two independent dating techniques to document the timing and extent of the Lago Argentino glacier lobe, a former lobe of the Patagonian Ice Sheet, during the late Quaternary. Our findings highlight feedbacks in the Earth’s system responsible for modulating glacier growth in the Southern Hemisphere prior to the global Last Glacial Maximum.
Kerry L. Callaghan, Andrew D. Wickert, Richard Barnes, and Jacqueline Austermann
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-131, https://doi.org/10.5194/gmd-2024-131, 2024
Revised manuscript under review for GMD
Short summary
Short summary
We present the Water Table Model (WTM), which simulates groundwater and lake levels at continental scales over millennia. Our simulations show that North America held more ground- and lake-water at the Last Glacial Maximum than in the present day – enough to lower sea level by 6 cm. We also simulate the changing water table from 21,000 to 16,000 years ago, finding that groundwater storage decreased following reduced precipitation in the model inputs. Open-source WTM code is available on Github.
Andrew D. Wickert, Jabari C. Jones, and Gene-Hua Crystal Ng
EGUsphere, https://doi.org/10.5194/egusphere-2023-3118, https://doi.org/10.5194/egusphere-2023-3118, 2024
Preprint archived
Short summary
Short summary
For over a century, scientists have used a simple algebraic relationship to estimate the amount of water flowing through a river (its discharge) from the height of the flow (its stage). Here we add physical realism to this approach by explicitly representing both the channel and floodplain, thereby allowing channel and floodplain geometry and roughness to these estimates. Our proposed advance may improve predictions of floods and water resources, even when the river channel itself changes.
Maximillian Van Wyk de Vries and Andrew D. Wickert
The Cryosphere, 15, 2115–2132, https://doi.org/10.5194/tc-15-2115-2021, https://doi.org/10.5194/tc-15-2115-2021, 2021
Short summary
Short summary
We can measure glacier flow and sliding velocity by tracking patterns on the ice surface in satellite images. The surface velocity of glaciers provides important information to support assessments of glacier response to climate change, to improve regional assessments of ice thickness, and to assist with glacier fieldwork. Our paper describes Glacier Image Velocimetry (GIV), a new, easy-to-use, and open-source toolbox for calculating high-resolution velocity time series for any glacier on earth.
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 9, 105–121, https://doi.org/10.5194/esurf-9-105-2021, https://doi.org/10.5194/esurf-9-105-2021, 2021
Short summary
Short summary
Existing ways of modeling the flow of water amongst landscape depressions such as swamps and lakes take a long time to run. However, as our previous work explains, depressions can be quickly organized into a data structure – the depression hierarchy. This paper explains how the depression hierarchy can be used to quickly simulate the realistic filling of depressions including how they spill over into each other and, if they become full enough, how they merge into one another.
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 8, 431–445, https://doi.org/10.5194/esurf-8-431-2020, https://doi.org/10.5194/esurf-8-431-2020, 2020
Short summary
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.
Sara Savi, Stefanie Tofelde, Andrew D. Wickert, Aaron Bufe, Taylor F. Schildgen, and Manfred R. Strecker
Earth Surf. Dynam., 8, 303–322, https://doi.org/10.5194/esurf-8-303-2020, https://doi.org/10.5194/esurf-8-303-2020, 2020
Short summary
Short summary
Fluvial deposits record changes in water and sediment supply. As such, they are often used to reconstruct the tectonic or climatic history of a basin. In this study we used an experimental setting to analyze how fluvial deposits register changes in water or sediment supply at a confluence zone. We provide a new conceptual framework that may help understanding the construction of these deposits under different forcings conditions, information crucial to correctly inferring the history of a basin.
Stefanie Tofelde, Sara Savi, Andrew D. Wickert, Aaron Bufe, and Taylor F. Schildgen
Earth Surf. Dynam., 7, 609–631, https://doi.org/10.5194/esurf-7-609-2019, https://doi.org/10.5194/esurf-7-609-2019, 2019
Short summary
Short summary
We performed seven physical experiments to explore terrace formation and sediment export from a braided alluvial river system that is perturbed by changes in water discharge, sediment supply, or base level. Each perturbation differently affects (1) the geometry of terraces and channels, (2) the timing of terrace formation, and (3) the transient response of sediment discharge. Our findings provide guidelines for interpreting fill terraces and sediment export from fluvial systems.
Andrew D. Wickert, Chad T. Sandell, Bobby Schulz, and Gene-Hua Crystal Ng
Hydrol. Earth Syst. Sci., 23, 2065–2076, https://doi.org/10.5194/hess-23-2065-2019, https://doi.org/10.5194/hess-23-2065-2019, 2019
Short summary
Short summary
Measuring Earth's changing environment is a critical part of natural science, but to date most of the equipment to do so is expensive, proprietary, and difficult to customize. We addressed this challenge by developing and deploying the ALog, a low-power, lightweight, Arduino-compatible data logger. We present our hardware schematics and layouts, as well as our customizable code library that operates the ALog and helps users to link it to off-the-shelf sensors.
Leila Saberi, Rachel T. McLaughlin, G.-H. Crystal Ng, Jeff La Frenierre, Andrew D. Wickert, Michel Baraer, Wei Zhi, Li Li, and Bryan G. Mark
Hydrol. Earth Syst. Sci., 23, 405–425, https://doi.org/10.5194/hess-23-405-2019, https://doi.org/10.5194/hess-23-405-2019, 2019
Short summary
Short summary
The relationship among glacier melt, groundwater, and streamflow remains highly uncertain, especially in tropical glacierized watersheds in response to climate. We implemented a multi-method approach and found that melt contribution varies considerably and may drive streamflow variability at hourly to multi-year timescales, rather than buffer it, as commonly thought. Some of the melt contribution occurs through groundwater pathways, resulting in longer timescale interactions with streamflow.
Andrew D. Wickert and Taylor F. Schildgen
Earth Surf. Dynam., 7, 17–43, https://doi.org/10.5194/esurf-7-17-2019, https://doi.org/10.5194/esurf-7-17-2019, 2019
Short summary
Short summary
Rivers can raise or lower their beds by depositing or eroding sediments. We combine equations for flow, channel/valley geometry, and gravel transport to learn how climate and tectonics shape down-valley profiles of river-bed elevation. Rivers steepen when they receive more sediment (relative to water) and become straighter with tectonic uplift. Weathering and breakdown of gravel is needed to produce gradually widening river channels with concave-up profiles that are often observed in the field.
G.-H. Crystal Ng, Andrew D. Wickert, Lauren D. Somers, Leila Saberi, Collin Cronkite-Ratcliff, Richard G. Niswonger, and Jeffrey M. McKenzie
Geosci. Model Dev., 11, 4755–4777, https://doi.org/10.5194/gmd-11-4755-2018, https://doi.org/10.5194/gmd-11-4755-2018, 2018
Short summary
Short summary
The profound importance of water has led to the development of increasingly complex hydrological models. However, implementing these models is usually time-consuming and requires specialized expertise, stymieing their widespread use to support science-driven decision-making. In response, we have developed GSFLOW–GRASS, a robust and comprehensive set of software tools that can be readily used to set up and execute GSFLOW, the U.S. Geological Survey's coupled groundwater–surface-water flow model.
Andrew D. Wickert
Earth Surf. Dynam., 4, 831–869, https://doi.org/10.5194/esurf-4-831-2016, https://doi.org/10.5194/esurf-4-831-2016, 2016
Short summary
Short summary
The ice sheets that once spread across northern North America dramatically changed the drainage basin areas and discharges of rivers across the continent. As these ice sheets retreated, starting around 19 500 years ago, they sent meltwater to the oceans, influencing climate and building a geologic record of deglaciation. This record can be used to evaluate ice-sheet reconstructions and build an improved history and understanding of past ice-sheet collapse across North America.
A. D. Wickert
Geosci. Model Dev., 9, 997–1017, https://doi.org/10.5194/gmd-9-997-2016, https://doi.org/10.5194/gmd-9-997-2016, 2016
Short summary
Short summary
Earth's lithosphere bends beneath surface loads, such as ice, sediments, and mountain belts. The pattern of this bending, or flexural isostatic response, is a function of both the loads and the spatially variable strength of the lithosphere. gFlex is an easy-to-use program to calculate flexural isostastic response, and may be used to better understand how ice sheets, glaciers, large lakes, sedimentary basins, volcanoes, and other surface loads interact with the solid Earth.
Related subject area
Cross-cutting themes: Digital Landscapes: Insights into geomorphological processes from high-resolution topography and quantitative interrogation of topographic data
Geomorphic indicators of continental-scale landscape transience in the Hengduan Mountains, SE Tibet, China
Evaluating the accuracy of binary classifiers for geomorphic applications
Massive sediment pulses triggered by a multi-stage 130 000 m3 alpine cliff fall (Hochvogel, DE–AT)
Multi-sensor monitoring and data integration reveal cyclical destabilization of the Äußeres Hochebenkar rock glacier
Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3D point clouds
Rockfall trajectory reconstruction: a flexible method utilizing video footage and high-resolution terrain models
Drainage reorganization induces deviations in the scaling between valley width and drainage area
Unraveling the hydrology and sediment balance of an ungauged lake in the Sudano-Sahelian region of West Africa using remote sensing
Comparative analysis of the Copernicus, TanDEM-X, and UAV-SfM digital elevation models to estimate lavaka (gully) volumes and mobilization rates in the Lake Alaotra region (Madagascar)
Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data
Coastal change patterns from time series clustering of permanent laser scan data
Measurement of rock glacier surface change over different timescales using terrestrial laser scanning point clouds
Short communication: A semiautomated method for bulk fault slip analysis from topographic scarp profiles
Short Communication: A simple workflow for robust low-cost UAV-derived change detection without ground control points
Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
A segmentation approach for the reproducible extraction and quantification of knickpoints from river long profiles
A method based on structure-from-motion photogrammetry to generate sub-millimetre-resolution digital elevation models for investigating rock breakdown features
A comparison of structure from motion photogrammetry and the traversing micro-erosion meter for measuring erosion on shore platforms
Measuring decadal vertical land-level changes from SRTM-C (2000) and TanDEM-X ( ∼ 2015) in the south-central Andes
Bank erosion processes measured with UAV-SfM along complex banklines of a straight mid-sized river reach
Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring
Unsupervised detection of salt marsh platforms: a topographic method
The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences
Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques
Unravelling earth flow dynamics with 3-D time series derived from UAV-SfM models
Tree-root control of shallow landslides
Automated terrestrial laser scanning with near-real-time change detection – monitoring of the Séchilienne landslide
Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau
3-D models and structural analysis of rock avalanches: the study of the deformation process to better understand the propagation mechanism
Frontiers in Geomorphometry and Earth Surface Dynamics: possibilities, limitations and perspectives
How does grid-resolution modulate the topographic expression of geomorphic processes?
Suitability of ground-based SfM–MVS for monitoring glacial and periglacial processes
Image-based surface reconstruction in geomorphometry – merits, limits and developments
Topography-based flow-directional roughness: potential and challenges
A nondimensional framework for exploring the relief structure of landscapes
Topographic roughness as a signature of the emergence of bedrock in eroding landscapes
Tracing the boundaries of Cenozoic volcanic edifices from Sardinia (Italy): a geomorphometric contribution
Transitional relation exploration for typical loess geomorphologic types based on slope spectrum characteristics
Extracting topographic swath profiles across curved geomorphic features
Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences
Katrina D. Gelwick, Sean D. Willett, and Rong Yang
Earth Surf. Dynam., 12, 783–800, https://doi.org/10.5194/esurf-12-783-2024, https://doi.org/10.5194/esurf-12-783-2024, 2024
Short summary
Short summary
We evaluated the intensity and spatial extent of landscape change in the Hengduan Mountains by identifying areas where river network reorganization is occurring or expected in the future. We combine four metrics that measure topographic imbalances at different spatial and temporal scales. Our study provides a deeper understanding of the dynamic nature of the Hengduan Mountains landscape and associated drivers, such as tectonic uplift, and insights for applying similar methods elsewhere.
Matthew William Rossi
Earth Surf. Dynam., 12, 765–782, https://doi.org/10.5194/esurf-12-765-2024, https://doi.org/10.5194/esurf-12-765-2024, 2024
Short summary
Short summary
Accurately identifying the presence and absence of landforms is important to inferring processes and testing numerical models of landscape evolution. Using synthetic scenarios, I show that the Matthews correlation coefficient (MCC) should be favored over the F1 score when comparing accuracy across scenes where landform abundances vary. Despite the resilience of MCC to imbalanced data, strong sensitivity to the size and shape of features can still occur when truth and model data are misaligned.
Natalie Barbosa, Johannes Leinauer, Juilson Jubanski, Michael Dietze, Ulrich Münzer, Florian Siegert, and Michael Krautblatter
Earth Surf. Dynam., 12, 249–269, https://doi.org/10.5194/esurf-12-249-2024, https://doi.org/10.5194/esurf-12-249-2024, 2024
Short summary
Short summary
Massive sediment pulses in catchments are a key alpine multi-risk component. Combining high-resolution aerial imagery and seismic information, we decipher a multi-stage >130.000 m³ rockfall and subsequent sediment pulses over 4 years, reflecting sediment deposition up to 10 m, redistribution in the basin, and finally debouchure to the outlet. This study provides generic information on spatial and temporal patterns of massive sediment pulses in highly charged alpine catchments.
Lea Hartl, Thomas Zieher, Magnus Bremer, Martin Stocker-Waldhuber, Vivien Zahs, Bernhard Höfle, Christoph Klug, and Alessandro Cicoira
Earth Surf. Dynam., 11, 117–147, https://doi.org/10.5194/esurf-11-117-2023, https://doi.org/10.5194/esurf-11-117-2023, 2023
Short summary
Short summary
The rock glacier in Äußeres Hochebenkar (Austria) moved faster in 2021–2022 than it has in about 70 years of monitoring. It is currently destabilizing. Using a combination of different data types and methods, we show that there have been two cycles of destabilization at Hochebenkar and provide a detailed analysis of velocity and surface changes. Because our time series are very long and show repeated destabilization, this helps us better understand the processes of rock glacier destabilization.
Philippe Steer, Laure Guerit, Dimitri Lague, Alain Crave, and Aurélie Gourdon
Earth Surf. Dynam., 10, 1211–1232, https://doi.org/10.5194/esurf-10-1211-2022, https://doi.org/10.5194/esurf-10-1211-2022, 2022
Short summary
Short summary
The morphology and size of sediments influence erosion efficiency, sediment transport and the quality of aquatic ecosystem. In turn, the spatial evolution of sediment size provides information on the past dynamics of erosion and sediment transport. We have developed a new software which semi-automatically identifies and measures sediments based on 3D point clouds. This software is fast and efficient, offering a new avenue to measure the geometrical properties of large numbers of sediment grains.
François Noël, Michel Jaboyedoff, Andrin Caviezel, Clément Hibert, Franck Bourrier, and Jean-Philippe Malet
Earth Surf. Dynam., 10, 1141–1164, https://doi.org/10.5194/esurf-10-1141-2022, https://doi.org/10.5194/esurf-10-1141-2022, 2022
Short summary
Short summary
Rockfall simulations are often performed to make sure infrastructure is safe. For that purpose, rockfall trajectory data are needed to calibrate the simulation models. In this paper, an affordable, flexible, and efficient trajectory reconstruction method is proposed. The method is tested by reconstructing trajectories from a full-scale rockfall experiment involving 2670 kg rocks and a flexible barrier. The results highlight improvements in precision and accuracy of the proposed method.
Elhanan Harel, Liran Goren, Onn Crouvi, Hanan Ginat, and Eitan Shelef
Earth Surf. Dynam., 10, 875–894, https://doi.org/10.5194/esurf-10-875-2022, https://doi.org/10.5194/esurf-10-875-2022, 2022
Short summary
Short summary
Drainage reorganization redistributes drainage area across basins, resulting in channel and valley widths that may be unproportional to the new drainage area. We demonstrate scaling between valley width and drainage area in reorganized drainages that deviates from scaling in non-reorganized drainages. Further, deviation patterns are associated with different reorganization categories. Our findings are consequential for studies that rely on this scaling for valley width estimation.
Silvan Ragettli, Tabea Donauer, Peter Molnar, Ron Delnoije, and Tobias Siegfried
Earth Surf. Dynam., 10, 797–815, https://doi.org/10.5194/esurf-10-797-2022, https://doi.org/10.5194/esurf-10-797-2022, 2022
Short summary
Short summary
This paper presents a novel methodology to identify and quantitatively analyze deposition and erosion patterns in ephemeral ponds or in perennial lakes with strong water level fluctuations. We apply this method to unravel the water and sediment balance of Lac Wégnia, a designated Ramsar site in Mali. The study can be a showcase for monitoring Sahelian lakes using remote sensing data, as it sheds light on the actual drivers of change in Sahelian lakes.
Liesa Brosens, Benjamin Campforts, Gerard Govers, Emilien Aldana-Jague, Vao Fenotiana Razanamahandry, Tantely Razafimbelo, Tovonarivo Rafolisy, and Liesbet Jacobs
Earth Surf. Dynam., 10, 209–227, https://doi.org/10.5194/esurf-10-209-2022, https://doi.org/10.5194/esurf-10-209-2022, 2022
Short summary
Short summary
Obtaining accurate information on the volume of geomorphic features typically requires high-resolution topographic data, which are often not available. Here, we show that the globally available 12 m TanDEM-X DEM can be used to accurately estimate gully volumes and establish an area–volume relationship after applying a correction. This allowed us to get a first estimate of the amount of sediment that has been mobilized by large gullies (lavaka) in central Madagascar over the past 70 years.
Thomas G. Bernard, Dimitri Lague, and Philippe Steer
Earth Surf. Dynam., 9, 1013–1044, https://doi.org/10.5194/esurf-9-1013-2021, https://doi.org/10.5194/esurf-9-1013-2021, 2021
Short summary
Short summary
Both landslide mapping and volume estimation accuracies are crucial to quantify landscape evolution and manage such a natural hazard. We developed a method to robustly detect landslides and measure their volume from repeat 3D point cloud lidar data. This method detects more landslides than classical 2D inventories and resolves known issues of indirect volume measurement. Our results also suggest that the number of small landslides classically detected from 2D imagery is underestimated.
Mieke Kuschnerus, Roderik Lindenbergh, and Sander Vos
Earth Surf. Dynam., 9, 89–103, https://doi.org/10.5194/esurf-9-89-2021, https://doi.org/10.5194/esurf-9-89-2021, 2021
Short summary
Short summary
Sandy coasts are areas that undergo a lot of changes, which are caused by different influences, such as tides, wind or human activity. Permanent laser scanning is used to generate a three-dimensional representation of a part of the coast continuously over an extended period. By comparing three unsupervised learning algorithms, we develop a methodology to analyse the resulting data set and derive which processes are dominating changes in the beach and dunes.
Veit Ulrich, Jack G. Williams, Vivien Zahs, Katharina Anders, Stefan Hecht, and Bernhard Höfle
Earth Surf. Dynam., 9, 19–28, https://doi.org/10.5194/esurf-9-19-2021, https://doi.org/10.5194/esurf-9-19-2021, 2021
Short summary
Short summary
In this work, we use 3D point clouds to detect topographic changes across the surface of a rock glacier. These changes are presented as the relative contribution of surface change during a 3-week period to the annual surface change. By comparing these different time periods and looking at change in different directions, we provide estimates showing that different directions of surface change are dominant at different times of the year. This demonstrates the benefit of frequent monitoring.
Franklin D. Wolfe, Timothy A. Stahl, Pilar Villamor, and Biljana Lukovic
Earth Surf. Dynam., 8, 211–219, https://doi.org/10.5194/esurf-8-211-2020, https://doi.org/10.5194/esurf-8-211-2020, 2020
Short summary
Short summary
This short communication presents an efficient method for analyzing large fault scarp data sets. The programs and workflow required are open-source and the methodology is easy to use; thus the barrier to entry is low. This tool can be applied to a broad range of active tectonic studies. A case study in the Taupo Volcanic Zone, New Zealand, exemplifies the novelty of this tool by generating results that are consistent with extensive field campaigns in only a few hours at a work station.
Kristen L. Cook and Michael Dietze
Earth Surf. Dynam., 7, 1009–1017, https://doi.org/10.5194/esurf-7-1009-2019, https://doi.org/10.5194/esurf-7-1009-2019, 2019
Short summary
Short summary
UAVs have become popular tools for detecting topographic changes. Traditionally, detecting small amounts of change between two UAV surveys requires each survey to be highly accurate. We take an alternative approach and present a simple processing workflow that produces survey pairs or sets that are highly consistent with each other, even when the overall accuracy is relatively low. This greatly increases our ability to detect changes in settings where ground control is not possible.
Erika E. Lentz, Nathaniel G. Plant, and E. Robert Thieler
Earth Surf. Dynam., 7, 429–438, https://doi.org/10.5194/esurf-7-429-2019, https://doi.org/10.5194/esurf-7-429-2019, 2019
Short summary
Short summary
Our findings examine several data inputs for probabilistic regional sea-level rise (SLR) impact predictions. To predict coastal response to SLR, detailed information on the landscape, including elevation, vegetation, and/or level of development, is needed. However, we find that the inherent relationship between elevation and land cover datasets (e.g., beaches tend to be low lying) is used to reduce error in a coastal response to SLR model, suggesting new applications for areas of limited data.
Boris Gailleton, Simon M. Mudd, Fiona J. Clubb, Daniel Peifer, and Martin D. Hurst
Earth Surf. Dynam., 7, 211–230, https://doi.org/10.5194/esurf-7-211-2019, https://doi.org/10.5194/esurf-7-211-2019, 2019
Short summary
Short summary
The shape of landscapes is influenced by climate changes, faulting or the nature of the rocks under the surface. One of the most sensitive parts of the landscape to these changes is the river system that eventually adapts to such changes by adapting its slope, the most extreme example being a waterfall. We here present an algorithm that extracts changes in river slope over large areas from satellite data with the aim of investigating climatic, tectonic or geologic changes in the landscape.
Ankit Kumar Verma and Mary Carol Bourke
Earth Surf. Dynam., 7, 45–66, https://doi.org/10.5194/esurf-7-45-2019, https://doi.org/10.5194/esurf-7-45-2019, 2019
Short summary
Short summary
The article describes the development of a portable triangle control target to register structure-from-motion-derived topographic data. We were able to generate sub-millimetre-resolution 3-D models with sub-millimetre accuracy. We verified the accuracy of our models in an experiment and demonstrated the potential of our method by collecting microtopographic data on weathered Moenkopi sandstone in Arizona. The results from our study confirm the efficacy of our method at sub-millimetre scale.
Niamh Danielle Cullen, Ankit Kumar Verma, and Mary Clare Bourke
Earth Surf. Dynam., 6, 1023–1039, https://doi.org/10.5194/esurf-6-1023-2018, https://doi.org/10.5194/esurf-6-1023-2018, 2018
Short summary
Short summary
This research article provides a comparison between the traditional method of measuring erosion on rock shore platforms using a traversing micro-erosion meter (TMEM) and a new approach using structure from motion (SfM) photogrammetry. Our results indicate that SfM photogrammetry offers several advantages over the TMEM, allowing for erosion measurement at different scales on rock surfaces with low roughness while also providing a means to identify different processes and styles of erosion.
Benjamin Purinton and Bodo Bookhagen
Earth Surf. Dynam., 6, 971–987, https://doi.org/10.5194/esurf-6-971-2018, https://doi.org/10.5194/esurf-6-971-2018, 2018
Short summary
Short summary
We show a new use for the SRTM-C digital elevation model from February 2000 and the newer TanDEM-X dataset from ~ 2015. We difference the datasets over hillslopes and gravel-bed channels to extract vertical land-level changes. These signals are associated with incision, aggradation, and landsliding. This requires careful correction of the SRTM-C biases using the TanDEM-X and propagation of significant uncertainties. The method can be applied to moderate relief areas with SRTM-C coverage.
Gonzalo Duró, Alessandra Crosato, Maarten G. Kleinhans, and Wim S. J. Uijttewaal
Earth Surf. Dynam., 6, 933–953, https://doi.org/10.5194/esurf-6-933-2018, https://doi.org/10.5194/esurf-6-933-2018, 2018
Short summary
Short summary
The challenge to measure three-dimensional bank irregularities in a mid-sized river reach can be quickly solved in the field flying a drone with ground-control points and later applying structure from motion photogrammetry. We tested a simple approach that achieved sufficient resolution and accuracy to identify the full bank erosion cycle, including undermining. This is an easy-to-use and quickly deployed survey alternative to measure bank erosion processes along extended distances.
Daniel Wujanz, Michael Avian, Daniel Krueger, and Frank Neitzel
Earth Surf. Dynam., 6, 303–317, https://doi.org/10.5194/esurf-6-303-2018, https://doi.org/10.5194/esurf-6-303-2018, 2018
Short summary
Short summary
The importance of increasing the degree of automation in the context of monitoring natural hazards or geological phenomena is apparent. A vital step in the processing chain of monitoring deformations is the transformation of captured epochs into a common reference systems. This led to the motivation to develop an algorithm that realistically carries out this task. The algorithm was tested on three different geomorphic events while the results were quite satisfactory.
Guillaume C. H. Goodwin, Simon M. Mudd, and Fiona J. Clubb
Earth Surf. Dynam., 6, 239–255, https://doi.org/10.5194/esurf-6-239-2018, https://doi.org/10.5194/esurf-6-239-2018, 2018
Short summary
Short summary
Salt marshes are valuable environments that provide multiple services to coastal communities. However, their fast-paced evolution poses a challenge to monitoring campaigns due to time-consuming processing. The Topographic Identification of Platforms (TIP) method uses high-resolution topographic data to automatically detect the limits of salt marsh platforms within a landscape. The TIP method provides sufficient accuracy to monitor salt marsh change over time, facilitating coastal management.
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
Short summary
Short summary
The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
Wolfgang Schwanghart and Dirk Scherler
Earth Surf. Dynam., 5, 821–839, https://doi.org/10.5194/esurf-5-821-2017, https://doi.org/10.5194/esurf-5-821-2017, 2017
Short summary
Short summary
River profiles derived from digital elevation models are affected by errors. Here we present two new algorithms – quantile carving and the CRS algorithm – to hydrologically correct river profiles. Both algorithms preserve the downstream decreasing shape of river profiles, while CRS additionally smooths profiles to avoid artificial steps. Our algorithms are able to cope with the problems of overestimation and asymmetric error distributions.
François Clapuyt, Veerle Vanacker, Fritz Schlunegger, and Kristof Van Oost
Earth Surf. Dynam., 5, 791–806, https://doi.org/10.5194/esurf-5-791-2017, https://doi.org/10.5194/esurf-5-791-2017, 2017
Short summary
Short summary
This work aims at understanding the behaviour of an earth flow located in the Swiss Alps by reconstructing very accurately its topography over a 2-year period. Aerial photos taken from a drone, which are then processed using a computer vision algorithm, were used to derive the topographic datasets. Combination and careful interpretation of high-resolution topographic analyses reveal the internal mechanisms of the earthflow and its complex rotational structure, which is evolving over time.
Denis Cohen and Massimiliano Schwarz
Earth Surf. Dynam., 5, 451–477, https://doi.org/10.5194/esurf-5-451-2017, https://doi.org/10.5194/esurf-5-451-2017, 2017
Short summary
Short summary
Tree roots reinforce soils on slopes. A new slope stability model is presented that computes root reinforcement including the effects of root heterogeneities and dependence of root strength on tensile and compressive strain. Our results show that roots stabilize slopes that would otherwise fail under a rainfall event. Tension in roots is more effective than compression. Redistribution of forces in roots across the hillslope plays a key role in the stability of the slope during rainfall events.
Ryan A. Kromer, Antonio Abellán, D. Jean Hutchinson, Matt Lato, Marie-Aurelie Chanut, Laurent Dubois, and Michel Jaboyedoff
Earth Surf. Dynam., 5, 293–310, https://doi.org/10.5194/esurf-5-293-2017, https://doi.org/10.5194/esurf-5-293-2017, 2017
Short summary
Short summary
We developed and tested an automated terrestrial laser scanning (ATLS) system with near-real-time change detection at the Séchilienne landslide. We monitored the landslide for a 6-week period collecting a point cloud every 30 min. We detected various slope processes including movement of scree material, pre-failure deformation of discrete rockfall events and deformation of the main landslide body. This system allows the study of slope processes a high level of temporal detail.
Benjamin Purinton and Bodo Bookhagen
Earth Surf. Dynam., 5, 211–237, https://doi.org/10.5194/esurf-5-211-2017, https://doi.org/10.5194/esurf-5-211-2017, 2017
Short summary
Short summary
We evaluate the 12 m TanDEM-X DEM for geomorphometry and compare elevation accuracy (using over 300 000 dGPS measurements) and geomorphic metrics (e.g., slope and curvature) to other modern satellite-derived DEMs. The optically generated 5 m ALOS World 3D is less useful due to high-frequency noise. Despite improvements in radar-derived satellite DEMs, which are useful for elevation differencing and catchment analysis, lidar data are still necessary for fine-scale analysis of hillslope processes.
Céline Longchamp, Antonio Abellan, Michel Jaboyedoff, and Irene Manzella
Earth Surf. Dynam., 4, 743–755, https://doi.org/10.5194/esurf-4-743-2016, https://doi.org/10.5194/esurf-4-743-2016, 2016
Short summary
Short summary
The main objective of this research is to analyze rock avalanche dynamics by means of a detailed structural analysis of the deposits coming from data of 3-D measurements. The studied deposits are of different magnitude: (1) decimeter level scale laboratory experiments and (2) well-studied rock avalanches.
Filtering techniques were developed and applied to a 3-D dataset in order to detect fault structures present in the deposits and to propose kinematic mechanisms for the propagation.
Giulia Sofia, John K. Hillier, and Susan J. Conway
Earth Surf. Dynam., 4, 721–725, https://doi.org/10.5194/esurf-4-721-2016, https://doi.org/10.5194/esurf-4-721-2016, 2016
Short summary
Short summary
The interdisciplinarity of geomorphometry is its greatest strength and one of its major challenges. This special issue showcases exciting developments that are the building blocks for the next step-change in the field. In reading and compiling the contributions we hope that the scientific community will be inspired to seek out collaborations and share ideas across subject-boundaries, between technique-developers and users, enabling us as a community to gather knowledge from our digital landscape
Stuart W. D. Grieve, Simon M. Mudd, David T. Milodowski, Fiona J. Clubb, and David J. Furbish
Earth Surf. Dynam., 4, 627–653, https://doi.org/10.5194/esurf-4-627-2016, https://doi.org/10.5194/esurf-4-627-2016, 2016
Short summary
Short summary
High-resolution topographic data are becoming more prevalent, yet many areas of geomorphic interest do not have such data available. We produce topographic data at a range of resolutions to explore the influence of decreasing resolution of data on geomorphic analysis. We test the accuracy of the calculation of curvature, a hillslope sediment transport coefficient, and the identification of channel networks, providing guidelines for future use of these methods on low-resolution topographic data.
Livia Piermattei, Luca Carturan, Fabrizio de Blasi, Paolo Tarolli, Giancarlo Dalla Fontana, Antonio Vettore, and Norbert Pfeifer
Earth Surf. Dynam., 4, 425–443, https://doi.org/10.5194/esurf-4-425-2016, https://doi.org/10.5194/esurf-4-425-2016, 2016
Short summary
Short summary
We investigated the applicability of the SfM–MVS approach for calculating the geodetic mass balance of a glacier and for the detection of the surface displacement rate of an active rock glacier located in the eastern Italian Alps. The results demonstrate that it is possible to reliably quantify the investigated glacial and periglacial processes by means of a quick ground-based photogrammetric survey that was conducted using a consumer grade SRL camera and natural targets as ground control points.
Anette Eltner, Andreas Kaiser, Carlos Castillo, Gilles Rock, Fabian Neugirg, and Antonio Abellán
Earth Surf. Dynam., 4, 359–389, https://doi.org/10.5194/esurf-4-359-2016, https://doi.org/10.5194/esurf-4-359-2016, 2016
Short summary
Short summary
Three-dimensional reconstruction of earth surfaces from overlapping images is a promising tool for geoscientists. The method is very flexible, cost-efficient and easy to use, leading to a high variability in applications at different scales. Performance evaluation reveals that good accuracies are achievable but depend on the requirements of the individual case study. Future applications and developments (i.e. big data) will consolidate this essential tool for digital surface mapping.
Sebastiano Trevisani and Marco Cavalli
Earth Surf. Dynam., 4, 343–358, https://doi.org/10.5194/esurf-4-343-2016, https://doi.org/10.5194/esurf-4-343-2016, 2016
Short summary
Short summary
The generalization of the concept of roughness implies the need to refer to a family of roughness indices capturing specific aspects of surface morphology. We test the application of a flow-oriented directional measure of roughness based on the geostatistical index MAD (median of absolute directional differences), computed considering gravity-driven flow direction. The use of flow-directional roughness improves geomorphometric modeling and the interpretation of landscape morphology.
Stuart W. D. Grieve, Simon M. Mudd, Martin D. Hurst, and David T. Milodowski
Earth Surf. Dynam., 4, 309–325, https://doi.org/10.5194/esurf-4-309-2016, https://doi.org/10.5194/esurf-4-309-2016, 2016
Short summary
Short summary
Relationships between the erosion rate and topographic relief of hillslopes have been demonstrated in a number of diverse settings and such patterns can be used to identify the impact of tectonic plate motion on the Earth's surface. Here we present an open-source software tool which can be used to explore these relationships in any landscape where high-resolution topographic data have been collected.
D. T. Milodowski, S. M. Mudd, and E. T. A. Mitchard
Earth Surf. Dynam., 3, 483–499, https://doi.org/10.5194/esurf-3-483-2015, https://doi.org/10.5194/esurf-3-483-2015, 2015
Short summary
Short summary
Rock is exposed at the Earth surface when erosion rates locally exceed rates of soil production. This transition is marked by a diagnostic increase in topographic roughness, which we demonstrate can be a powerful indicator of the location of rock outcrop in a landscape. Using this to explore how hillslopes in two landscapes respond to increasing erosion rates, we find that the transition from soil-mantled to bedrock hillslopes is patchy and spatially heterogeneous.
M. T. Melis, F. Mundula, F. DessÌ, R. Cioni, and A. Funedda
Earth Surf. Dynam., 2, 481–492, https://doi.org/10.5194/esurf-2-481-2014, https://doi.org/10.5194/esurf-2-481-2014, 2014
S. Zhao and W. Cheng
Earth Surf. Dynam., 2, 433–441, https://doi.org/10.5194/esurf-2-433-2014, https://doi.org/10.5194/esurf-2-433-2014, 2014
S. Hergarten, J. Robl, and K. Stüwe
Earth Surf. Dynam., 2, 97–104, https://doi.org/10.5194/esurf-2-97-2014, https://doi.org/10.5194/esurf-2-97-2014, 2014
W. Schwanghart and D. Scherler
Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, https://doi.org/10.5194/esurf-2-1-2014, 2014
Cited articles
Abdullah, A. F., Vojinovic, Z., Price, R. K., and Aziz, N. A. A.: Improved
methodology for processing raw LiDAR data to support urban flood modelling
– accounting for elevated roads and bridges, J. Hydroinform.,
14, 253–269, https://doi.org/10.2166/hydro.2011.009, 2012. a
Abedini, M. J., Dickinson, W. T., and Rudra, R. P.: On depressional storages:
The effect of DEM spatial resolution, J. Hydrol., 318, 138–150,
https://doi.org/10.1016/j.jhydrol.2005.06.010, 2006. a, b
Adams, J. M., Gasparini, N. M., Hobley, D. E. J., Tucker, G. E., Hutton, E. W. H., Nudurupati, S. S., and Istanbulluoglu, E.: The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds, Geosci. Model Dev., 10, 1645–1663, https://doi.org/10.5194/gmd-10-1645-2017, 2017. a
Appels, W. M., Bogaart, P. W., and van der Zee, S. E.: Influence of spatial
variations of microtopography and infiltration on surface runoff and field
scale hydrological connectivity, Adv. Water Resour., 34, 303–313,
https://doi.org/10.1016/j.advwatres.2010.12.003, 2011. a
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. a, b
Ballato, P., Cifelli, F., Heidarzadeh, G., Ghassemi, M. R., Wickert, A. D.,
Hassanzadeh, J., Dupont-Nivet, G., Balling, P., Sudo, M., Zeilinger, G.,
Schmitt, A. K., Mattei, M., and Strecker, M. R.: Tectono-sedimentary
evolution of the northern Iranian Plateau: insights from middle–late
Miocene foreland-basin deposits, Basin Res., 29, 417–446,
https://doi.org/10.1111/bre.12180, 2017. a
Barnes, R., Lehman, C., and Mulla, D.: Priority-flood: An optimal
depression-filling and watershed-labeling algorithm for digital elevation
models, Comput. Geosci., 62, 117–127,
https://doi.org/10.1016/j.cageo.2013.04.024,
2014b. a
Barnes, R., Callaghan, K. L., and Wickert, A. D.: Computing water flow through
complex landscapes – Part 2: Finding hierarchies in depressions and
morphological segmentations, Earth Surface Dynamics Discussions, 1–19,
https://doi.org/10.5194/esurf-2019-34, 2019. a
Braun, J. and Willett, S. D.: A very efficient O(n), implicit and parallel
method to solve the stream power equation governing fluvial incision and
landscape evolution, Geomorphology, 180–181, 170–179,
https://doi.org/10.1016/j.geomorph.2012.10.008, 2013. a
Castino, F., Bookhagen, B., and Strecker, M. R.: Rainfall variability and
trends of the past six decades (1950–2014) in the subtropical NW Argentine
Andes, Clim. Dynam., 48, 1049–1067, https://doi.org/10.1007/s00382-016-3127-2,
2017. a
Chu, X., Yang, J., Chi, Y., and Zhang, J.: Dynamic puddle delineation and
modeling of puddle-to-puddle filling-spilling-merging-splitting overland flow
processes, Water Resour. Res., 49, 3825–3829,
https://doi.org/10.1002/wrcr.20286, 2013. a, b
Clubb, F. J., Mudd, S. M., Milodowski, D. T., Hurst, M. D., and Slater, L. J.:
Objective extraction of channel heads from high-resolution topographic
data, Water Resour. Res., 50, 4283–4304, https://doi.org/10.1002/2013WR015167, 2014. a
Coe, M. T.: Modeling terrestrial hydrological systems at the continental
scale: Testing the accuracy of an atmospheric GCM, J. Climate, 13,
686–704, https://doi.org/10.1175/1520-0442(2000)013<0686:MTHSAT>2.0.CO;2,
2000. a, b
Cordonnier, G., Bovy, B., and Braun, J.: A versatile, linear complexity algorithm for flow routing in topographies with depressions, Earth Surf. Dynam., 7, 549–562, https://doi.org/10.5194/esurf-7-549-2019, 2019. a
Coulthard, T. J., Neal, J. C., Bates, P. D., Ramirez, J., de Almeida, G. A.,
and Hancock, G. R.: Integrating the LISFLOOD-FP 2D hydrodynamic model with
the CAESAR model: Implications for modelling landscape evolution,
Earth Surf. Proc. Land., 38, 1897–1906, https://doi.org/10.1002/esp.3478,
2013. a
Craddock, R. A., Hutchinson, M. F., and Stein, J. A.: Topographic data reveal
a buried fluvial landscape in the Simpson desert, Australia,
Aust. J. Earth Sci., 57, 141–149, https://doi.org/10.1080/08120090903416278,
2010. a
Czuba, J. A. and Foufoula-Georgiou, E.: A network-based framework for
identifying potential synchronizations and amplifications of sediment
delivery in river basins, Water Resour. Res., 50, 3826–3851,
https://doi.org/10.1002/2013WR014227, 2014. a
Darboux, F. and Huang, C.-h.: Does Soil Surface Roughness Increase or Decrease
Water and Particle Transfers?, Soil. Sci. Soc. Am. J., 69,
748, https://doi.org/10.2136/sssaj2003.0311, 2005. a
Dixon, B. and Earls, J.: Resample or not ?! Effects of resolution of DEMs in
watershed modeling, Hydrol. Process., 23, 1714–1724,
https://doi.org/10.1002/hyp.7306, 2009. a
Duvall, A., Kirby, E., and Burbank, D.: Tectonic and lithologic controls on
bedrock channel profiles and processes in coastal California, J. Geophys. Res., 109, F03002, https://doi.org/10.1029/2003jf000086, 2004. a
Gallant, J. C. and Wilson, J. P.: TAPES-G: A grid-based terrain analysis
program for the environmental sciences, Comput. Geosci., 22,
713–722, https://doi.org/10.1016/0098-3004(96)00002-7, 1996. a
Govers, G., Takken, I., and Helming, K.: Soil roughness and overland flow,
Agronomie, 20, 131–146, https://doi.org/10.1051/agro:2000114, 2000. a
Grimaldi, S., Nardi, F., Benedetto, F. D., Istanbulluoglu, E., and Bras, R. L.:
A physically-based method for removing pits in digital elevation models,
Adv. Water Resour., 30, 2151–2158,
https://doi.org/10.1016/j.advwatres.2006.11.016, 2007. a
Hansen, B., Schjonning, P., and Sibbesen, E.: Roughness indices for estimation
of depression storage capacity of tilled soil surfaces,
Soil Till. Res., 52, 103–111, 1999. a
Hobley, D. E. J., Adams, J. M., Nudurupati, S. S., Hutton, E. W. H., Gasparini, N. M., Istanbulluoglu, E., and Tucker, G. E.: Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics, Earth Surf. Dynam., 5, 21–46, https://doi.org/10.5194/esurf-5-21-2017, 2017. a
Hooshyar, M., Singh, A., and Wang, D.: Hydrologic controls on junction angle
of river networks, Water Resour. Res., 53, 4073–4083,
https://doi.org/10.1002/2016WR020267, 2017. a
Ivanovic, R. F., Gregoire, L. J., Wickert, A. D., Valdes, P. J., and Burke, A.:
Collapse of the North American ice saddle 14 500 years ago caused widespread
cooling and reduced ocean overturning circulation,
Geophys. Res. Lett., 44, 383–392, https://doi.org/10.1002/2016GL071849, 2017. a
Ivanovic, R. F., Gregoire, L. J., Burke, A., Wickert, A. D., Valdes, P. J., Ng,
H. C., Robinson, L. F., McManus, J. F., Mitrovica, J. X., Lee, L., and
Dentith, J. E.: Acceleration of northern ice sheet melt induces AMOC
slowdown and northern cooling in simulations of the early last deglaciation,
Paleoceanography and Paleoclimatology, 33, 807–824,
https://doi.org/10.1029/2017pa003308, 2018. a
Jasiewicz, J. and Metz, M.: A new GRASS GIS toolkit for Hortonian analysis of
drainage networks, Comput. Geosci., 37, 1162–1173,
https://doi.org/10.1016/j.cageo.2011.03.003, 2011. a
Lai, J. and Anders, A. M.: Modeled Postglacial Landscape Evolution at the
Southern Margin of the Laurentide Ice Sheet: Hydrological Connection of
Uplands Controls the Pace and Style of Fluvial Network Expansion, J. Geophys. Res.-Earth, 123, 967–984,
https://doi.org/10.1029/2017JF004509, 2018. a, b
Li, S., MacMillan, R., Lobb, D. A., McConkey, B. G., Moulin, A., and Fraser,
W. R.: Lidar DEM error analyses and topographic depression identification in
a hummocky landscape in the prairie region of Canada, Geomorphology, 129,
263–275, https://doi.org/10.1016/j.geomorph.2011.02.020, 2011. a
Liang, M., Geleynse, N., Edmonds, D. A., and Passalacqua, P.: A reduced-complexity model for river delta formation – Part 2: Assessment of the flow routing scheme, Earth Surf. Dynam., 3, 87–104, https://doi.org/10.5194/esurf-3-87-2015, 2015a. a
Liang, M., Voller, V. R., and Paola, C.: A reduced-complexity model for river delta formation – Part 1: Modeling deltas with channel dynamics, Earth Surf. Dynam., 3, 67–86, https://doi.org/10.5194/esurf-3-67-2015, 2015b. a
Lindsay, J. B. and Creed, I. F.: Sensitivity of Digital Landscapes to Artifact
Depressions in Remotely-sensed DEMs,
Photogramm. Eng., 71, 1029–1036, https://doi.org/10.14358/pers.71.9.1029, 2005. a, b, c
Lindsay, J. B. and Creed, I. F.: Distinguishing actual and artefact
depressions in digital elevation data, Comput. Geosci., 32,
1192–1204, https://doi.org/10.1016/j.cageo.2005.11.002, 2006. a, b
Lindsay, J. B. and Dhun, K.: Modelling surface drainage patterns in altered
landscapes using LiDAR,
Int. J. Geogr. Inf. Sci., 29, 397–411, https://doi.org/10.1080/13658816.2014.975715, 2015. a
Luo, W. and Stepinski, T. F.: Computer-generated global map of valley networks
on Mars, J. Geophys. Res-Planet., 114, 1–11,
https://doi.org/10.1029/2009JE003357, 2009. a
Martz, L. W. and Garbrecht, J.: The treatment of flat areas and depressions in
automated drainage analysis of raster digital elevation models, Hydrol. Process., 12, 843–855,
https://doi.org/10.1002/(SICI)1099-1085(199805)12:6<843::AID-HYP658>3.0.CO;2-R, 1998. a, b, c
Martz, L. W. and Garbrecht, J.: An outlet breaching algorithm for the
treatment of closed depressions in a raster DEM, Comput. Geosci.,
25, 835–844, https://doi.org/10.1016/S0098-3004(99)00018-7, 1999. a
Martz, L. W. and Jong, E. d.: CATCH: A FORTRAN program for measuring catchment
area from digital elevation models, Comput. Geosci., 14, 627–640,
https://doi.org/10.1016/0098-3004(88)90018-0, 1988. a
McGuire, L. A., Pelletier, J. D., Gómez, J. A., and Nearing, M. A.:
Controls on the spacing and geometry of rill networks on hillslopes: Rain
splash detachment, initial hillslope roughness, and the competition between
fluvial and colluvial transport, J. Geophys. Res.-Earth, 118, 241–256, https://doi.org/10.1002/jgrf.20028, 2013. a
Metz, M., Mitasova, H., and Harmon, R. S.: Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search, Hydrol. Earth Syst. Sci., 15, 667–678, https://doi.org/10.5194/hess-15-667-2011, 2011. a, b, c
Molloy, I. and Stepinski, T. F.: Automatic mapping of valley networks on
Mars, Comput. Geosci., 33, 728–738,
https://doi.org/10.1016/j.cageo.2006.09.009, 2007. a
Murray, A. B. and Paola, C.: Properties of a cellular braided-stream model,
Earth Surf. Proc. Land., 22, 1001–1025,
https://doi.org/10.1002/(SICI)1096-9837(199711)22:11<1001::AID-ESP798>3.0.CO;2-O,
1997. a
Neal, J., Schumann, G., Fewtrell, T., Budimir, M., Bates, P., and Mason, D.:
Evaluating a new LISFLOOD-FP formulation with data from the summer 2007
floods in Tewkesbury, UK, J. Flood Risk Manag., 4, 88–95,
https://doi.org/10.1111/j.1753-318x.2011.01093.x, 2011. a
Neteler, M., Bowman, M. H., Landa, M., and Metz, M.: GRASS GIS: A
multi-purpose open source GIS, Environ. Modell. Softw., 31,
124–130, https://doi.org/10.1016/j.envsoft.2011.11.014, 2012. a, b
Ng, G.-H. C., Wickert, A. D., Somers, L. D., Saberi, L., Cronkite-Ratcliff, C., Niswonger, R. G., and McKenzie, J. M.: GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems, Geosci. Model Dev., 11, 4755–4777, https://doi.org/10.5194/gmd-11-4755-2018, 2018. a, b, c
O'Callaghan, J. F. and Mark, D. M.: The extraction of drainage networks from
digital elevation data, Comput. Vision Graph.,
28, 323–344, https://doi.org/10.1016/S0734-189X(84)80011-0,
1984. a, b, c, d
Paola, C., Heller, P., and Angevine, C.: The large-scale dynamics of
grain-size variation in alluvial basins, 1: Theory, Basin Res., 4,
73–90, 1992. a
Passalacqua, P., Do Trung, T., Foufoula-Georgiou, E., Sapiro, G., and Dietrich,
W. E.: A geometric framework for channel network extraction from lidar:
Nonlinear diffusion and geodesic paths, J. Geophys. Res.,
115, 1–18, https://doi.org/10.1029/2009jf001254, 2010. a
Passalacqua, P., Belmont, P., and Foufoula-Georgiou, E.: Automatic geomorphic
feature extraction from lidar in flat and engineered landscapes, Water Resour. Res., 48, 1–18, https://doi.org/10.1029/2011WR010958, 2012. a
Pelletier, J. D.: A robust, two-parameter method for the extraction of
drainage networks from high-resolution digital elevation models (DEMs):
Evaluation using synthetic and real-world DEMs, Water Resour. Res.,
49, 75–89, https://doi.org/10.1029/2012WR012452, 2013. a
Perron, J. T. and Royden, L.: An integral approach to bedrock river profile
analysis, Earth Surf. Proc. Land., 38, 570–576,
https://doi.org/10.1002/esp.3302, 2013. a
Ray, R., Beighley, R., and Yoon, Y.: Integrating Runoff Generation and Flow
Routing in Susquehanna River Basin to Characterize Key Hydrologic Processes
Contributing to Maximum Annual Flood Events, J. Hydrol. Eng., 21, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001389, 2016. a
Riddick, T., Brovkin, V., Hagemann, S., and Mikolajewicz, U.: Dynamic hydrological discharge modelling for coupled climate model simulations of the last glacial cycle: the MPI-DynamicHD model version 3.0, Geosci. Model Dev., 11, 4291–4316, https://doi.org/10.5194/gmd-11-4291-2018, 2018. a, b, c
Schwanghart, W. and Scherler, D.: Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences, Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, 2014. a, b
Schwanghart, W. and Scherler, D.: Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques, Earth Surf. Dynam., 5, 821–839, https://doi.org/10.5194/esurf-5-821-2017, 2017. a
Seybold, H., Rothman, D. H., and Kirchner, J. W.: Climate's watermark in the
geometry of stream networks, Geophys. Res. Lett., 44, 2272–2280,
https://doi.org/10.1002/2016GL072089, 2017. a
Shaw, D. A., Vanderkamp, G., Conly, F. M., Pietroniro, A., and Martz, L.: The
Fill-Spill Hydrology of Prairie Wetland Complexes during Drought and Deluge,
Hydrol. Process., 26, 3147–3156, https://doi.org/10.1002/hyp.8390, 2012. a
Shaw, D. A., Pietroniro, A., and Martz, L. W.: Topographic analysis for the
prairie pothole region of Western Canada, Hydrol. Process., 27,
3105–3114, https://doi.org/10.1002/hyp.9409, 2013. a
Sobel, E. R., Hilley, G. E., and Strecker, M. R.: Formation of internally
drained contractional basins by aridity-limited bedrock incision, J. Geophys. Res.-Earth, 108, 1–23, https://doi.org/10.1029/2002jb001883, 2003. a, b
Soille, P.: Optimal removal of spurious pits in grid digital elevation
models, Water Resour. Res., 40, 1–9, https://doi.org/10.1029/2004WR003060,
2004. a, b
Soille, P., Vogt, J., and Colombo, R.: Carving and adaptive drainage
enforcement of grid digital elevation models, Water Resour. Res., 39,
1366, https://doi.org/10.1029/2002WR001879, 2003. a
Strahler, A. N.: Quantitative Analysis of Watershed Geomorphology,
Transactions of the American Geophysical Union, Transactions, American
Geophysical Union, 38, 913–920, 1957. a
Teng, F., Huang, W., Cai, Y., Zheng, C., and Zou, S.: Application of
hydrological model PRMS to simulate daily rainfall runoff in
Zamask-Yingluoxia subbasin of the Heihe River Basin, Water, 9,
769, https://doi.org/10.3390/w9100769, 2017. a, b
Tofelde, S., Schildgen, T. F., Savi, S., Pingel, H., Wickert, A. D., Bookhagen,
B., Wittmann, H., Alonso, R. N., Cottle, J., and Strecker, M. R.: 100 kyr
fluvial cut-and-fill terrace cycles since the Middle Pleistocene in the
southern Central Andes, NW Argentina, Earth Planet. Sc. Lett.,
473, 141–153, https://doi.org/10.1016/j.epsl.2017.06.001, 2017. a
Trauth, M. H. and Strecker, M. R.: Formation of landslide-dammed lakes during
a wet period between 40,000 and 25,000 yr B.P. in northwestern Argentina,
Palaeogeography, Palaeoclimatology, Palaeoecology, 153, 277–287,
https://doi.org/10.1016/S0031-0182(99)00078-4, 1999. a
Tucker, G., Lancaster, S., Gasparini, N., and Bras, R.: The Channel-Hillslope
Integrated Landscape Development Model (CHILD), in: Landscape Erosion and
Evolution Modeling, edited by: Harmon, R. and Doe, W., chap. 12, 349–388,
https://doi.org/10.1007/978-1-4615-0575-4_12, 2011. a
Wickert, A. D.: Reconstruction of North American drainage basins and river discharge since the Last Glacial Maximum, Earth Surf. Dynam., 4, 831–869, https://doi.org/10.5194/esurf-4-831-2016, 2016. a, b, c
Wickert, A. D. and Schildgen, T. F.: Long-profile evolution of transport-limited gravel-bed rivers, Earth Surf. Dynam., 7, 17–43, https://doi.org/10.5194/esurf-7-17-2019, 2019. a
Willgoose, G., Bras, R. L., and Rodriguez-Iturbe, I.: A physical explanation
of an observed link area‐slope relationship, Water Resour. Res., 27,
1697–1702, https://doi.org/10.1029/91WR00937, 1991. a
Download
- Article
(12825 KB) - Full-text XML
Short summary
Lakes and swales are real landscape features but are generally treated as data errors when calculating water flow across a surface. This is a problem because depressions can store water and fragment drainage networks. Until now, there has been no good generalized approach to calculate which depressions fill and overflow and which do not. We addressed this problem by simulating runoff flow across a landscape, selectively flooding depressions and more realistically connecting lakes and rivers.
Lakes and swales are real landscape features but are generally treated as data errors when...