Articles | Volume 16, issue 4
https://doi.org/10.5194/gmd-16-1315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
24 Feb 2023
Model evaluation paper |
| 24 Feb 2023
| 24 Feb 2023
Modeling large‐scale landform evolution with a stream power law for glacial erosion (OpenLEM v37): benchmarking experiments against a more process-based description of ice flow (iSOSIA v3.4.3)
Department of Environment and Biodiversity, University of Salzburg, 5020 Salzburg, Austria
Jörg Robl
Department of Environment and Biodiversity, University of Salzburg, 5020 Salzburg, Austria
Stefan Hergarten
Institute of Earth and Environmental Sciences, University of Freiburg, 79104 Freiburg, Germany
David Lundbek Egholm
Department of Geoscience, Aarhus University, 8000 Aarhus, Denmark
Kurt Stüwe
Department of Earth Science, University of Graz, 8020 Graz, Austria
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Stefan Hergarten
EGUsphere, https://doi.org/10.5194/egusphere-2024-1070, https://doi.org/10.5194/egusphere-2024-1070, 2024
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Toma hills are more or less isolated hills in the deposits of rock avalanches and their origin is still enigmatic. This paper presents results of numerical simulations based on a modified version of a friction law that was originally introduced for snow avalanches. The model produces more or less isolated hills on the valley floor, which look much like toma hills. The results presented here provide the perhaps first explanation for the occurrence of toma hills based on a numerical model.
Stefan Hergarten
EGUsphere, https://doi.org/10.5194/egusphere-2024-336, https://doi.org/10.5194/egusphere-2024-336, 2024
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Faceted topographies are impressing footprints of active tectonics in geomorphology. This paper investigates the evolution of faceted topographies at normal faults and its interaction with the river network theoretically and numerically. As a main result beyond several relations for the the geometry of facets, the horizontal displacement associated to normal faults is crucial for the dissection of initially polygonal facets into triangular facets bounded by almost parallel rivers.
Stefan Hergarten
Geosci. Model Dev., 17, 781–794, https://doi.org/10.5194/gmd-17-781-2024, https://doi.org/10.5194/gmd-17-781-2024, 2024
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The Voellmy rheology has been widely used for simulating snow and rock avalanches. Recently, a modified version of this rheology was proposed, which turned out to be able to predict the observed long runout of large rock avalanches theoretically. The software MinVoellmy presented here is the first numerical implementation of the modified rheology. It consists of MATLAB and Python classes, where simplicity and parsimony were the design goals.
Stefan Hergarten
Earth Surf. Dynam., 12, 219–229, https://doi.org/10.5194/esurf-12-219-2024, https://doi.org/10.5194/esurf-12-219-2024, 2024
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Large landslides turn into an avalanche-like mode of flow at high velocities, which allows for a much longer runout than predicted for a sliding solid body. In this study, the Voellmy rheology widely used in models for hazard assessment is reinterpreted and extended. The new approach predicts the increase in runout length with volume observed in nature quite well and may thus be a major step towards a more consistent modeling of rock avalanches and improved hazard assessment.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Jannick Strüven and Stefan Hergarten
Hydrol. Earth Syst. Sci., 27, 3041–3058, https://doi.org/10.5194/hess-27-3041-2023, https://doi.org/10.5194/hess-27-3041-2023, 2023
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This study uses dendritic flow patterns to analyze the recession behavior of aquifer springs. The results show that the long-term recession becomes slower for large catchments. After a short recharge event, however, the short-term behavior differs strongly from the exponential recession that would be expected from a linear reservoir. The exponential component still accounts for more than 80 % of the total discharge, much more than typically assumed for karst aquifers.
Stefan Hergarten and Alexa Pietrek
Earth Surf. Dynam., 11, 741–755, https://doi.org/10.5194/esurf-11-741-2023, https://doi.org/10.5194/esurf-11-741-2023, 2023
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The transition from hillslopes to channelized flow is typically attributed to a threshold catchment size in landform evolution models. Here we propose an alternative concept directly based on topography. Using this concept, channels and hillslopes self-organize, whereby the catchment size of the channel heads varies over some range. Our numerical results suggest that this concept works better than the established idea of a strict threshold catchment size.
Stefan Hergarten
Earth Surf. Dynam., 10, 671–686, https://doi.org/10.5194/esurf-10-671-2022, https://doi.org/10.5194/esurf-10-671-2022, 2022
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Many studies on modeling landform evolution have focused on mountain ranges, while large parts of Earth's surface are quite flat and alluvial plains have been preferred locations for human settlements. Conducting large-scale simulations of fluvial erosion and sediment transport, this study reveals that rivers in a tectonically inactive foreland are much more dynamic than rivers in a mountain range; the local redistribution of deposits in the foreland is the main driver of the dynamics.
Stefan Hergarten and Jörg Robl
Geosci. Model Dev., 15, 2063–2084, https://doi.org/10.5194/gmd-15-2063-2022, https://doi.org/10.5194/gmd-15-2063-2022, 2022
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The influence of climate on landform evolution has attracted great interest over the past decades. This paper presents a simple model for simulating the influence of topography on precipitation and the decrease in precipitation over large continental areas. The approach can be included in numerical models of large-scale landform evolution and causes only a moderate increase in the numerical complexity. It opens a door to investigating feedbacks between climate and landform evolution.
Stefan Hergarten
Earth Surf. Dynam., 9, 937–952, https://doi.org/10.5194/esurf-9-937-2021, https://doi.org/10.5194/esurf-9-937-2021, 2021
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This paper presents a new approach to modeling glacial erosion on large scales. The formalism is similar to large-scale models of fluvial erosion, so glacial and fluvial processes can be easily combined. The model is simpler and numerically less demanding than established models based on a more detailed description of the ice flux. The numerical implementation almost achieves the efficiency of purely fluvial models, so that simulations over millions of years can be performed on standard PCs.
Anne-Laure Argentin, Jörg Robl, Günther Prasicek, Stefan Hergarten, Daniel Hölbling, Lorena Abad, and Zahra Dabiri
Nat. Hazards Earth Syst. Sci., 21, 1615–1637, https://doi.org/10.5194/nhess-21-1615-2021, https://doi.org/10.5194/nhess-21-1615-2021, 2021
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This study relies on topography to simulate the origin and displacement of potentially river-blocking landslides. It highlights a continuous range of simulated landslide dams that go unnoticed in the field due to their small scale. The computation results show that landslide-dammed lake volume can be estimated from upstream drainage area and landslide volume, thus enabling an efficient hazard assessment of possible landslide-dammed lake volume – and flooding magnitude in case of dam failure.
Stefan Hergarten
Earth Surf. Dynam., 8, 841–854, https://doi.org/10.5194/esurf-8-841-2020, https://doi.org/10.5194/esurf-8-841-2020, 2020
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Many contemporary models of large-scale fluvial erosion focus on the detachment-limited regime where all material entrained by the river is immediately excavated. This limitation facilitates the comparison with real river profiles and strongly reduces the numerical complexity. Here a simple formulation for the opposite case, transport-limited erosion, and a new numerical scheme that achieves almost the same numerical efficiency as detachment-limited models are presented.
Stefan Hergarten
Earth Surf. Dynam., 8, 367–377, https://doi.org/10.5194/esurf-8-367-2020, https://doi.org/10.5194/esurf-8-367-2020, 2020
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Models of fluvial erosion have a long history in landform evolution modeling. Interactions between rivers and processes acting at hillslopes (e.g., landslides) are receiving growing interest in this context. While present-day computer capacities allow for applying such coupled models, there is still a scaling problem when considering rivers to be linear elements on a topography. Based on a reinterpretation of old empirical results, this study presents a new approach to overcome this problem.
Georg Trost, Jörg Robl, Stefan Hergarten, and Franz Neubauer
Earth Surf. Dynam., 8, 69–85, https://doi.org/10.5194/esurf-8-69-2020, https://doi.org/10.5194/esurf-8-69-2020, 2020
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The evolution of the drainage system in the Eastern Alps is inherently linked to different tectonic stages. This leads to a situation in which major orogen-parallel alpine rivers, such as the Salzach and the Enns, are characterized by elongated east–west-oriented catchments. We investigate the stability of present-day drainage divides and the stability of reconstructed paleo-drainage systems. Our results indicate a progressive stability of the network towards the present-day situation.
Stefan Hergarten and Thomas Kenkmann
Earth Surf. Dynam., 7, 459–473, https://doi.org/10.5194/esurf-7-459-2019, https://doi.org/10.5194/esurf-7-459-2019, 2019
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Our study reveals that worldwide mean erosion rates on the million-year timescale are very similar to present-day erosion rates in contrast to the majority of the previously published results. Concerning the dependence of erosion on climate, we found that the long-term erosion efficacy of the tropical zone has been about 5 times higher than that of the cold zones, while the erosional efficacy of the present-day arid zone has been as high as that of the temperate zone.
Jean L. Dixon, Friedhelm von Blanckenburg, Kurt Stüwe, and Marcus Christl
Earth Surf. Dynam., 4, 895–909, https://doi.org/10.5194/esurf-4-895-2016, https://doi.org/10.5194/esurf-4-895-2016, 2016
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We quantify the glacial legacy of Holocene erosion at the eastern edge of the European Alps and add insight to the debate on drivers of Alpine erosion. We present the first data explicitly comparing 10Be-based erosion rates in previously glaciated and non-glaciated basins (n = 26). Erosion rates vary 5-fold across the region, correlating with local topography and glacial history. Our approach and unique study site allow us to isolate the role of glacial topographic legacies from other controls.
S. Hergarten, J. Robl, and K. Stüwe
Earth Surf. Dynam., 4, 1–9, https://doi.org/10.5194/esurf-4-1-2016, https://doi.org/10.5194/esurf-4-1-2016, 2016
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Longitudinal river profiles are increasingly used for unraveling the tectonic history on a regional scale. In the last years, the introduction of the so-called chi transform brought significant technical progress, but this method is still limited to the domain governed by fluvial erosion covering only a small part of the surface. Here we present and compare extensions of the method towards smaller catchment sizes where hillslope processes or debris flows significantly contribute to erosion.
S. Hergarten and J. Robl
Nat. Hazards Earth Syst. Sci., 15, 671–685, https://doi.org/10.5194/nhess-15-671-2015, https://doi.org/10.5194/nhess-15-671-2015, 2015
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Snow avalanches and debris flows are abundant natural hazards in mountainous regions. Numerical models describing rapid mass movements are essential for hazard studies and mitigation strategies, but only a few software tools are available for this purpose. This paper presents a new method using the shallow water equations widely applied to lakes and oceans. It introduces appropriate correction terms for steep terrain and can be implemented in a variety of fluid-dynamics software packages.
S. Hergarten, G. Winkler, and S. Birk
Hydrol. Earth Syst. Sci., 18, 4277–4288, https://doi.org/10.5194/hess-18-4277-2014, https://doi.org/10.5194/hess-18-4277-2014, 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
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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
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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
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Hui Wan, Kai Zhang, Christopher J. Vogl, Carol S. Woodward, Richard C. Easter, Philip J. Rasch, Yan Feng, and Hailong Wang
Geosci. Model Dev., 17, 1387–1407, https://doi.org/10.5194/gmd-17-1387-2024, https://doi.org/10.5194/gmd-17-1387-2024, 2024
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Sophisticated numerical models of the Earth's atmosphere include representations of many physical and chemical processes. In numerical simulations, these processes need to be calculated in a certain sequence. This study reveals the weaknesses of the sequence of calculations used for aerosol processes in a global atmosphere model. A revision of the sequence is proposed and its impacts on the simulated global aerosol climatology are evaluated.
Christopher J. Vogl, Hui Wan, Carol S. Woodward, and Quan M. Bui
Geosci. Model Dev., 17, 1409–1428, https://doi.org/10.5194/gmd-17-1409-2024, https://doi.org/10.5194/gmd-17-1409-2024, 2024
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Generally speaking, accurate climate simulation requires an accurate evolution of the underlying mathematical equations on large computers. The equations are typically formulated and evolved in process groups. Process coupling refers to how the evolution of each group is combined with that of other groups to evolve the full set of equations for the whole atmosphere. This work presents a mathematical framework to evaluate methods without the need to first implement the methods.
Tom Keel, Chris Brierley, and Tamsin Edwards
Geosci. Model Dev., 17, 1229–1247, https://doi.org/10.5194/gmd-17-1229-2024, https://doi.org/10.5194/gmd-17-1229-2024, 2024
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Jet streams are an important control on surface weather as their speed and shape can modify the properties of weather systems. Establishing trends in the operation of jet streams may provide some indication of the future of weather in a warming world. Despite this, it has not been easy to establish trends, as many methods have been used to characterise them in data. We introduce a tool containing various implementations of jet stream statistics and algorithms that works in a standardised manner.
Amir Golparvar, Matthias Kästner, and Martin Thullner
Geosci. Model Dev., 17, 881–898, https://doi.org/10.5194/gmd-17-881-2024, https://doi.org/10.5194/gmd-17-881-2024, 2024
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Coupled reaction transport modelling is an established and beneficial method for studying natural and synthetic porous material, with applications ranging from industrial processes to natural decompositions in terrestrial environments. Up to now, a framework that explicitly considers the porous structure (e.g. from µ-CT images) for modelling the transport of reactive species is missing. We presented a model that overcomes this limitation and represents a novel numerical simulation toolbox.
Stefan Hergarten
Geosci. Model Dev., 17, 781–794, https://doi.org/10.5194/gmd-17-781-2024, https://doi.org/10.5194/gmd-17-781-2024, 2024
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The Voellmy rheology has been widely used for simulating snow and rock avalanches. Recently, a modified version of this rheology was proposed, which turned out to be able to predict the observed long runout of large rock avalanches theoretically. The software MinVoellmy presented here is the first numerical implementation of the modified rheology. It consists of MATLAB and Python classes, where simplicity and parsimony were the design goals.
Arjun Babu Nellikkattil, Danielle Lemmon, Travis Allen O'Brien, June-Yi Lee, and Jung-Eun Chu
Geosci. Model Dev., 17, 301–320, https://doi.org/10.5194/gmd-17-301-2024, https://doi.org/10.5194/gmd-17-301-2024, 2024
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This study introduces a new computational framework called Scalable Feature Extraction and Tracking (SCAFET), designed to extract and track features in climate data. SCAFET stands out by using innovative shape-based metrics to identify features without relying on preconceived assumptions about the climate model or mean state. This approach allows more accurate comparisons between different models and scenarios.
Mohammad Mortezazadeh, Jean-François Cossette, Ashu Dastoor, Jean de Grandpré, Irena Ivanova, and Abdessamad Qaddouri
Geosci. Model Dev., 17, 335–346, https://doi.org/10.5194/gmd-17-335-2024, https://doi.org/10.5194/gmd-17-335-2024, 2024
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The interpolation process is the most computationally expensive step of the semi-Lagrangian (SL) approach. In this paper we implement a new interpolation scheme into the semi-Lagrangian approach which has the same computational cost as a third-order polynomial scheme but with the accuracy of a fourth-order interpolation scheme. This improvement is achieved by using two third-order backward and forward polynomial interpolation schemes in two consecutive time steps.
Boris Gailleton, Luca C. Malatesta, Guillaume Cordonnier, and Jean Braun
Geosci. Model Dev., 17, 71–90, https://doi.org/10.5194/gmd-17-71-2024, https://doi.org/10.5194/gmd-17-71-2024, 2024
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This contribution presents a new method to numerically explore the evolution of mountain ranges and surrounding areas. The method helps in monitoring with details on the timing and travel path of material eroded from the mountain ranges. It is particularly well suited to studies juxtaposing different domains – lakes or multiple rock types, for example – and enables the combination of different processes.
Denise Degen, Daniel Caviedes Voullième, Susanne Buiter, Harrie-Jan Hendricks Franssen, Harry Vereecken, Ana González-Nicolás, and Florian Wellmann
Geosci. Model Dev., 16, 7375–7409, https://doi.org/10.5194/gmd-16-7375-2023, https://doi.org/10.5194/gmd-16-7375-2023, 2023
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In geosciences, we often use simulations based on physical laws. These simulations can be computationally expensive, which is a problem if simulations must be performed many times (e.g., to add error bounds). We show how a novel machine learning method helps to reduce simulation time. In comparison to other approaches, which typically only look at the output of a simulation, the method considers physical laws in the simulation itself. The method provides reliable results faster than standard.
Carlos Spa, Otilio Rojas, and Josep de la Puente
Geosci. Model Dev., 16, 7237–7252, https://doi.org/10.5194/gmd-16-7237-2023, https://doi.org/10.5194/gmd-16-7237-2023, 2023
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This paper develops a calibration methodology of all absorbing techniques typically used by Fourier pseudo-spectral time-domain (PSTD) methods for geoacoustic wave simulations. The main contributions of the paper are (a) an implementation and quantitative comparison of all absorbing techniques available for PSTD methods through a simple and robust numerical experiment, and (b) a validation of these absorbing techniques in several 3-D seismic scenarios with gradual heterogeneity complexities.
Michael Hillier, Florian Wellmann, Eric A. de Kemp, Boyan Brodaric, Ernst Schetselaar, and Karine Bédard
Geosci. Model Dev., 16, 6987–7012, https://doi.org/10.5194/gmd-16-6987-2023, https://doi.org/10.5194/gmd-16-6987-2023, 2023
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Neural networks can be used effectively to model three-dimensional geological structures from point data, sampling geological interfaces, units, and structural orientations. Existing neural network approaches for this type of modelling are advanced by the efficient incorporation of unconformities, new knowledge inputs, and improved data fitting techniques. These advances permit the modelling of more complex geology in diverse geological settings, different-sized areas, and various data regimes.
Hugo Dominguez, Nicolas Riel, and Pierre Lanari
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-189, https://doi.org/10.5194/gmd-2023-189, 2023
Revised manuscript accepted for GMD
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Predicting the behaviour of magmatic systems is important for understanding Earth's matter and heat transport. Numerical modelling is a technique that can predict complex systems at different scales of space and time, by solving equations using various techniques. This study tests four algorithms to find the best way to transport the melt composition. The "Weighted Essentially Non-Oscillatory" algorithm emerges as the best choice, minimizing errors and preserving system mass.
Gong Cheng, Mathieu Morlighem, and G. Hilmar Gudmundsson
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-194, https://doi.org/10.5194/gmd-2023-194, 2023
Revised manuscript accepted for GMD
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We conducted a comprehensive analysis of the stabilization and reinitialization techniques currently employed in ISSM and Ua for solving level-set equations, specifically those related to the dynamic representation of moving ice fronts within numerical ice sheet models. Our results demonstrate that the Streamline Upwinding Petrov Galerkin (SUPG) method outperforms the other approaches. We found that excessively frequent reinitialization can lead to exceptionally high errors in simulations.
Tor Nordam, Ruben Kristiansen, Raymond Nepstad, Erik van Sebille, and Andy M. Booth
Geosci. Model Dev., 16, 5339–5363, https://doi.org/10.5194/gmd-16-5339-2023, https://doi.org/10.5194/gmd-16-5339-2023, 2023
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We describe and compare two common methods, Eulerian and Lagrangian models, used to simulate the vertical transport of material in the ocean. They both solve the same transport problems but use different approaches for representing the underlying equations on the computer. The main focus of our study is on the numerical accuracy of the two approaches. Our results should be useful for other researchers creating or using these types of transport models.
Mathieu Gravey and Grégoire Mariethoz
Geosci. Model Dev., 16, 5265–5279, https://doi.org/10.5194/gmd-16-5265-2023, https://doi.org/10.5194/gmd-16-5265-2023, 2023
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Multiple‐point geostatistics are widely used to simulate complex spatial structures based on a training image. The use of these methods relies on the possibility of finding optimal training images and parametrization of the simulation algorithms. Here, we propose finding an optimal set of parameters using only the training image as input. The main advantage of our approach is to remove the risk of overfitting an objective function.
Siting Li, Ping Wang, Hong Wang, Yue Peng, Zhaodong Liu, Wenjie Zhang, Hongli Liu, Yaqiang Wang, Huizheng Che, and Xiaoye Zhang
Geosci. Model Dev., 16, 4171–4191, https://doi.org/10.5194/gmd-16-4171-2023, https://doi.org/10.5194/gmd-16-4171-2023, 2023
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Optimizing the initial state of atmospheric chemistry model input is one of the most essential methods to improve forecast accuracy. Considering the large computational load of the model, we introduce an ensemble optimal interpolation scheme (EnOI) for operational use and efficient updating of the initial fields of chemical components. The results suggest that EnOI provides a practical and cost-effective technique for improving the accuracy of chemical weather numerical forecasts.
Thomas Richter, Véronique Dansereau, Christian Lessig, and Piotr Minakowski
Geosci. Model Dev., 16, 3907–3926, https://doi.org/10.5194/gmd-16-3907-2023, https://doi.org/10.5194/gmd-16-3907-2023, 2023
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Sea ice covers not only the pole regions but affects the weather and climate globally. For example, its white surface reflects more sunlight than land. The oceans around the poles are therefore kept cool, which affects the circulation in the oceans worldwide. Simulating the behavior and changes in sea ice on a computer is, however, very difficult. We propose a new computer simulation that better models how cracks in the ice change over time and show this by comparing to other simulations.
Emma J. MacKie, Michael Field, Lijing Wang, Zhen Yin, Nathan Schoedl, Matthew Hibbs, and Allan Zhang
Geosci. Model Dev., 16, 3765–3783, https://doi.org/10.5194/gmd-16-3765-2023, https://doi.org/10.5194/gmd-16-3765-2023, 2023
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Earth scientists often have to fill in spatial gaps in measurements. This gap-filling or interpolation can be accomplished with geostatistical methods, where the statistical relationships between measurements are used to inform how these gaps should be filled. Despite the broad utility of these methods, there are few freely available geostatistical software applications. We present GStatSim, a Python package for performing different geostatistical interpolation methods.
Ian Madden, Simone Marras, and Jenny Suckale
Geosci. Model Dev., 16, 3479–3500, https://doi.org/10.5194/gmd-16-3479-2023, https://doi.org/10.5194/gmd-16-3479-2023, 2023
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To aid risk managers who may wish to rapidly assess tsunami risk but may lack high-performance computing infrastructure, we provide an accessible software package able to rapidly model tsunami inundation over real topography by leveraging Google's Tensor Processing Unit, a high-performance hardware. Minimally trained users can take advantage of the rapid modeling abilities provided by this package via a web browser thanks to the ease of use of Google Cloud Platform.
Youtong Rong, Paul Bates, and Jeffrey Neal
Geosci. Model Dev., 16, 3291–3311, https://doi.org/10.5194/gmd-16-3291-2023, https://doi.org/10.5194/gmd-16-3291-2023, 2023
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A novel subgrid channel (SGC) model is developed for river–floodplain modelling, allowing utilization of subgrid-scale bathymetric information while performing computations on relatively coarse grids. By including adaptive artificial diffusion, potential numerical instability, which the original SGC solver had, in low-friction regions such as urban areas is addressed. Evaluation of the new SGC model through structured tests confirmed that the accuracy and stability have improved.
Xiaqiong Zhou and Hann-Ming Henry Juang
Geosci. Model Dev., 16, 3263–3274, https://doi.org/10.5194/gmd-16-3263-2023, https://doi.org/10.5194/gmd-16-3263-2023, 2023
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The National Centers for Environmental Prediction Global Forecast System version 16 experienced model instability failures in real-time runs resolved by increasing the minimum thickness depth parameter. Further investigation revealed that the issue was caused by the advection of geopotential heights at the model's layer interfaces. By replacing high-order boundary conditions with zero-gradient boundary conditions for interface-wind reconstruction, the instability was effectively addressed.
Grant T. Euen, Shangxin Liu, Rene Gassmöller, Timo Heister, and Scott D. King
Geosci. Model Dev., 16, 3221–3239, https://doi.org/10.5194/gmd-16-3221-2023, https://doi.org/10.5194/gmd-16-3221-2023, 2023
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Due to the increasing availability of high-performance computing over the past few decades, numerical models have become an important tool for research. Here we test two geodynamic codes that produce such models: ASPECT, a newer code, and CitcomS, an older one. We show that they produce solutions that are extremely close. As methods and codes become more complex over time, showing reproducibility allows us to seamlessly link previously known information to modern methodologies.
Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, and Paul Bates
Geosci. Model Dev., 16, 2391–2413, https://doi.org/10.5194/gmd-16-2391-2023, https://doi.org/10.5194/gmd-16-2391-2023, 2023
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This paper describes a new release of the LISFLOOD-FP model for fast and efficient flood simulations. It features a new non-uniform grid generator that uses multiwavelet analyses to sensibly coarsens the resolutions where the local topographic variations are smooth. Moreover, the model is parallelised on the graphical processing units (GPUs) to further boost computational efficiency. The performance of the model is assessed for five real-world case studies, noting its potential applications.
Matt J. Fischer
EGUsphere, https://doi.org/10.5194/egusphere-2023-643, https://doi.org/10.5194/egusphere-2023-643, 2023
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In paleoclimate research, proxy system models or PSMs model chemical or biological systems which receive environmental inputs, and output e.g. geochemical signals. The environmental inputs are rarely noiseless, which causes problems when calibrating multi-input PSMs. Here a PSM is developed which includes generalized noise in both model inputs and outputs, and prior information. A quasi-Bayesian method enhances the stability of the solution of the Measurement Error Proxy System Model.
Bruno K. Zürcher
Geosci. Model Dev., 16, 1697–1711, https://doi.org/10.5194/gmd-16-1697-2023, https://doi.org/10.5194/gmd-16-1697-2023, 2023
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We present a novel algorithm to efficiently compute Barnes interpolation, which is a method for transforming data values recorded at irregularly spaced points into a corresponding regular grid. In contrast to naive implementations with an algorithmic complexity that depends on the product of the number of sample points and the number of grid points, our approach reduces this dependency to their sum.
David H. Marsico and Paul A. Ullrich
Geosci. Model Dev., 16, 1537–1551, https://doi.org/10.5194/gmd-16-1537-2023, https://doi.org/10.5194/gmd-16-1537-2023, 2023
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Climate models involve several different components, such as the atmosphere, ocean, and land models. Information needs to be exchanged, or remapped, between these models, and devising algorithms for performing this exchange is important for ensuring the accuracy of climate simulations. In this paper, we examine the efficacy of several traditional and novel approaches to remapping on the sphere and demonstrate where our approaches offer improvement.
James Kent, Thomas Melvin, and Golo Albert Wimmer
Geosci. Model Dev., 16, 1265–1276, https://doi.org/10.5194/gmd-16-1265-2023, https://doi.org/10.5194/gmd-16-1265-2023, 2023
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This paper introduces the Met Office's new shallow water model. The shallow water model is a building block towards the Met Office's new atmospheric dynamical core. The shallow water model is tested on a number of standard spherical shallow water test cases, including flow over mountains and unstable jets. Results show that the model produces similar results to other shallow water models in the literature.
Anthony Gruber, Max Gunzburger, Lili Ju, Rihui Lan, and Zhu Wang
Geosci. Model Dev., 16, 1213–1229, https://doi.org/10.5194/gmd-16-1213-2023, https://doi.org/10.5194/gmd-16-1213-2023, 2023
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This work applies a novel technical tool, multifidelity Monte Carlo (MFMC) estimation, to three climate-related benchmark experiments involving oceanic, atmospheric, and glacial modeling. By considering useful quantities such as maximum sea height and total (kinetic) energy, we show that MFMC leads to predictions which are more accurate and less costly than those obtained by standard methods. This suggests MFMC as a potential drop-in replacement for estimation in realistic climate models.
Piyoosh Jaysaval, Glenn E. Hammond, and Timothy C. Johnson
Geosci. Model Dev., 16, 961–976, https://doi.org/10.5194/gmd-16-961-2023, https://doi.org/10.5194/gmd-16-961-2023, 2023
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We present a robust and highly scalable implementation of numerical forward modeling and inversion algorithms for geophysical electrical resistivity tomography data. The implementation is publicly available and developed within the framework of PFLOTRAN (http://www.pflotran.org), an open-source, state-of-the-art massively parallel subsurface flow and transport simulation code. The paper details all the theoretical and implementation aspects of the new capabilities along with test examples.
Lucas Schauer, Michael J. Schmidt, Nicholas B. Engdahl, Stephen D. Pankavich, David A. Benson, and Diogo Bolster
Geosci. Model Dev., 16, 833–849, https://doi.org/10.5194/gmd-16-833-2023, https://doi.org/10.5194/gmd-16-833-2023, 2023
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We develop a multi-dimensional, parallelized domain decomposition strategy for mass-transfer particle tracking methods in two and three dimensions, investigate different procedures for decomposing the domain, and prescribe an optimal tiling based on physical problem parameters and the number of available CPU cores. For an optimally subdivided diffusion problem, the parallelized algorithm achieves nearly perfect linear speedup in comparison with the serial run-up to thousands of cores.
John Mern and Jef Caers
Geosci. Model Dev., 16, 289–313, https://doi.org/10.5194/gmd-16-289-2023, https://doi.org/10.5194/gmd-16-289-2023, 2023
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In this work, we formulate the sequential geoscientific data acquisition problem as a problem that is similar to playing chess against nature, except the pieces are not fully observed. Solutions to these problems are given in AI and rarely used in geoscientific data planning. We illustrate our approach to a simple 2D problem of mineral exploration.
Ziqi Gao, Yifeng Wang, Petros Vasilakos, Cesunica E. Ivey, Khanh Do, and Armistead G. Russell
Geosci. Model Dev., 15, 9015–9029, https://doi.org/10.5194/gmd-15-9015-2022, https://doi.org/10.5194/gmd-15-9015-2022, 2022
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While the national ambient air quality standard of ozone is based on the 3-year average of the fourth highest 8 h maximum (MDA8) ozone concentrations, these predicted extreme values using numerical methods are always biased low. We built four computational models (GAM, MARS, random forest and SVR) to predict the fourth highest MDA8 ozone in Southern California using precursor emissions, meteorology and climatological patterns. All models presented acceptable performance, with GAM being the best.
Zhihao Wang, Jason Goetz, and Alexander Brenning
Geosci. Model Dev., 15, 8765–8784, https://doi.org/10.5194/gmd-15-8765-2022, https://doi.org/10.5194/gmd-15-8765-2022, 2022
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A lack of inventory data can be a limiting factor in developing landslide predictive models, which are crucial for supporting hazard policy and decision-making. We show how case-based reasoning and domain adaptation (transfer-learning techniques) can effectively retrieve similar landslide modeling situations for prediction in new data-scarce areas. Using cases in Italy, Austria, and Ecuador, our findings support the application of transfer learning for areas that require rapid model development.
Till Sachau, Haibin Yang, Justin Lang, Paul D. Bons, and Louis Moresi
Geosci. Model Dev., 15, 8749–8764, https://doi.org/10.5194/gmd-15-8749-2022, https://doi.org/10.5194/gmd-15-8749-2022, 2022
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Knowledge of the internal structures of the major continental ice sheets is improving, thanks to new investigative techniques. These structures are an essential indication of the flow behavior and dynamics of ice transport, which in turn is important for understanding the actual impact of the vast amounts of water trapped in continental ice sheets on global sea-level rise. The software studied here is specifically designed to simulate such structures and their evolution.
Cited articles
Alley, R. B., Cuffey, K. M., and Zoet, L. K.: Glacial erosion: status and
outlook, Ann. Glaciol., 60, 1–13, https://doi.org/10.1017/aog.2019.38, 2019. a, b
Anderson, R. S., Molnar, P., and Kessler, M. A.: Features of glacial valley
profiles simply explained, J. Geophys. Res.-Earth,
111, F01004, https://doi.org/10.1029/2005jf000344, 2006. a
Bahr, D. B.: Width and length scaling of glaciers, J. Glaciol., 43,
557–562, https://doi.org/10.3189/S0022143000035164, 1997. a
Bernard, M., Steer, P., Gallagher, K., and Egholm, D. L.: The Impact of
Lithology on Fjord Morphology, Geophys. Res. Lett., 48,
e2021GL093101, https://doi.org/10.1029/2021GL093101, 2021. a, b, c
Braun, J., Zwartz, D., and Tomkin, J. H.: A new surface-processes model
combining glacial and fluvial erosion, Ann. Glaciol., 28, 282–290,
https://doi.org/10.3189/172756499781821797, 1999. a, b, c, d
Brocklehurst, S. H. and Whipple, K. X.: Hypsometry of glaciated landscapes,
Earth Surf. Proc. Land., 29, 907–926, https://doi.org/10.1002/esp.1083,
2004. a
Budd, W. F., Keage, P. L., and Blundy, N. A.: Empirical Studies of Ice Sliding,
J. Glaciol., 23, 157–170, https://doi.org/10.3189/S0022143000029804, 1979. a
Cook, S. J., Swift, D. A., Kirkbride, M. P., Knight, P. G., and Waller, R. I.:
The empirical basis for modelling glacial erosion rates, Nat. Commun., 11, 1–7, https://doi.org/10.1038/s41467-020-14583-8, 2020. a
Davy, P. and Lague, D.: Fluvial erosion/transport equation of landscape
evolution models revisited, J. Geophys. Res.-Earth, 114, F03007,
https://doi.org/10.1029/2008JF001146, 2009. a
Egholm, D. L., Nielsen, S. B., Pedersen, V. K., and Lesemann, J. E.: Glacial
effects limiting mountain height, Nature, 460, 884–887, https://doi.org/10.1038/nature08263, 2009. a
Egholm, D. L., Jansen, J. D., Braedstrup, C. F., Pedersen, V. K., Andersen,
J. L., Ugelvig, S. V., Larsen, N. K., and Knudsen, M. F.: Formation of
plateau landscapes on glaciated continental margins, Nat. Geosci., 10,
592–597, https://doi.org/10.1038/Ngeo2980, 2017. a, b, c, d
Fowler, A. C. and Larson, D. A.: On the flow of polythermal glaciers – I.
Model and preliminary analysis, Proc. R. Soc. Lond., 363, 217–242,
https://doi.org/10.1098/rspa.1978.0165, 1978. a
Hallet, B.: A theoretical model of glacial abrasion, J. Glaciol., 23,
39–50, https://doi.org/10.3189/S0022143000029725, 1979. a
Harbor, J. M.: Numerical modeling of the development of U-shaped valleys by
glacial erosion, Geol. Soc. Am. Bull., 104, 1364–1375,
https://doi.org/10.1130/0016-7606(1992)104<1364:Nmotdo>2.3.Co;2, 1992. a, b, c
Headley, R. M., Roe, G., and Hallet, B.: Glacier longitudinal profiles in
regions of active uplift, Earth Planet. Sci. Lett., 317, 354–362,
2012. a
Hergarten, S.: Transport-limited fluvial erosion – simple formulation and efficient numerical treatment, Earth Surf. Dynam., 8, 841–854, https://doi.org/10.5194/esurf-8-841-2020, 2020. a, b
Hergarten, S.: The influence of sediment transport on stationary and mobile
knickpoints in river profiles, J. Geophys. Res.-Earth, 126,
e2021JF006218, https://doi.org/10.1029/2021JF006218, 2021b. a, b, c
Hergarten, S.: Theoretical and numerical considerations of rivers in a tectonically inactive foreland, Earth Surf. Dynam., 10, 671–686, https://doi.org/10.5194/esurf-10-671-2022, 2022. a
Hergarten, S.: OpenLEM, OpenLEM [code], http://hergarten.at/openlem, last access: 20 February 2023. a
Hergarten, S. and Robl, J.: The linear feedback precipitation model (LFPM 1.0) – a simple and efficient model for orographic precipitation in the context of landform evolution modeling, Geosci. Model Dev., 15, 2063–2084, https://doi.org/10.5194/gmd-15-2063-2022, 2022. a, b
Hergarten, S., Wagner, T., and Stüwe, K.: Age and prematurity of the Alps
derived from topography, Earth Planet. Sci. Lett., 297, 453–460,
https://doi.org/10.1016/j.epsl.2010.06.048, 2010. a
Herman, F., Beyssac, O., Brughelli, M., Lane, S. N., Leprince, S., Adatte, T.,
Lin, J. Y. Y., Avouac, J. P., and Cox, S. C.: Erosion by an Alpine glacier,
Science, 350, 193–195, https://doi.org/10.1126/science.aab2386, 2015. a, b
Herman, F., Braun, J., Deal, E., and Prasicek, G.: The Response Time of Glacial
Erosion, J. Geophys. Res.-Earth, 123, 801–817,
https://doi.org/10.1002/2017JF004586, 2018. a
Howard, A. D.: A detachment-limited model for drainage basin evolution, Water
Resour. Res., 30, 2261–2285, https://doi.org/10.1029/94WR00757, 1994. a, b
Hutter, K.: Time-dependent surface elevation of an ice slope, J. Glaciology,
25, 247–266, https://doi.org/10.3189/S0022143000010479, 1980. a
Iverson, N. R.: A theory of glacial quarrying for landscape evolution models,
Geology, 40, 679–682, https://doi.org/10.1130/G33079.1, 2012. a
Kooi, H. and Beaumont, C.: Large-scale geomorphology: classical concepts
reconciled and integrated with contemporary ideas via a surface process
model, J. Geophys. Res., 101, 3361–3386, 1996. a
Koppes, M., Hallet, B., Rignot, E., Mouginot, J., Wellner, J. S., and Boldt,
K.: Observed latitudinal variations in erosion as a function of glacier
dynamics, Nature, 526, 100–103, https://doi.org/10.1038/nature15385, 2015. a, b
Kühni, A. and Pfiffner, O. A.: The relief of the Swiss Alps and adjacent
areas and its relation to lithology and structure: topographic analysis from
a 250-m DEM, Geomorphology, 41, 285–307, https://doi.org/10.1016/S0169-555x(01)00060-5, 2001. a
Lai, J. and Anders, A. M.: Climatic controls on mountain glacier basal thermal regimes dictate spatial patterns of glacial erosion, Earth Surf. Dynam., 9, 845–859, https://doi.org/10.5194/esurf-9-845-2021, 2021. a, b
Leith, K., Moore, J. R., Amann, F., and Loew, S.: Subglacial extensional
fracture development and implications for Alpine valley evolution, J. Geophys. Res.-Earth, 119, 62–81,
https://doi.org/10.1002/2012JF002691, 2014. a
Liebl, M.: C++ (OpenLEM, v37), C (iSOSIA, v3.4.3) and Matlab codes, Zenodo [code and data set], https://doi.org/10.5281/zenodo.6557805, 2022. a, b
Magrani, F., Valla, P. G., and Egholm, D.: Modelling alpine glacier geometry
and subglacial erosion patterns in response to contrasting climatic forcing,
Earth Surf. Proc. Land., 47, 1054–1072,
https://doi.org/10.1002/esp.5302, 2022. 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
Pedersen, V. K. and Egholm, D. L.: Glaciations in response to climate
variations preconditioned by evolving topography, Nature, 493, 206–210,
https://doi.org/10.1038/nature11786, 2013. a, b, c
Pedersen, V. K., Egholm, D. L., and Nielsen, S. B.: Alpine glacial topography
and the rate of rock column uplift: a global perspective, Geomorphology, 122,
129–139, https://doi.org/10.1016/j.geomorph.2010.06.005, 2010. a, b
Penck, A.: Glacial features in the surface of the Alps, J. Geol., 13, 1–19, 1905. a
Prasicek, G., Larsen, I. J., and Montgomery, D. R.: Tectonic control on the
persistence of glacially sculpted topography, Nat. Commun., 6, 8028, https://doi.org/10.1038/ncomms9028, 2015. a
Prasicek, G., Hergarten, S., Deal, E., Herman, F., and Robl, J.: A glacial
buzzsaw effect generated by efficient erosion of temperate glaciers in a
steady state model, Earth Planet. Sci. Lett., 543, 116350,
https://doi.org/10.1016/j.epsl.2020.116350, 2020a. a
Prasicek, G., Hergarten, S., Deal, E., Herman, F., and Robl, J.: A glacial
buzzsaw effect generated by efficient erosion of temperate glaciers in a
steady state model, Earth Planet. Sci. Lett., 543, 116350,
https://doi.org/10.1016/j.epsl.2020.116350, 2020b. a, b
Robl, J., Prasicek, G., Hergarten, S., and Stüwe, K.: Alpine topography in
the light of tectonic uplift and glaciation, Glob. Planet. Change, 127,
34–49, https://doi.org/10.1016/j.gloplacha.2015.01.008, 2015. a, b, c, d
Robl, J., Hergarten, S., and Prasicek, G.: The topographic state of fluvially
conditioned mountain ranges, Earth Sci. Rev., 168, 290–317,
https://doi.org/10.1016/j.earscirev.2017.03.007, 2017. a
Robl, J., Hergarten, S., and Prasicek, G.: Glacial erosion promotes high
mountains on thin crust, Earth Planet. Sci. Lett., 538, 116196,
https://doi.org/10.1016/j.epsl.2020.116196, 2020. a
Roering, J. J., Kirchner, J. W., and Dietrich, W. E.: Evidence for nonlinear,
diffusive sediment transport on hillslopes and implications for landscape
morphology, Water Resour. Res., 35, 853–870,
https://doi.org/10.1029/1998wr900090, 1999. a
Royden, L. and Perron, J. T.: Solutions of the stream power equation and
application to the evolution of river longitudinal profiles, J. Geophys. Res.-Earth, 118, 497–518, https://doi.org/10.1002/jgrf.20031, 2013. a
Salcher, B., Prasicek, G., Baumann, S., and Kober, F.: Alpine relief limited
by glacial occupation time, Geology, 49, 1209–1213, https://doi.org/10.1130/G48639.1,
2021. a
Salcher, B. C., Kober, F., Kissling, E., and Willett, S. D.: Glacial impact on
short-wavelength topography and long-lasting effects on the denudation of a
deglaciated mountain range, Global Planet. Change, 115, 59–70,
https://doi.org/10.1016/j.gloplacha.2014.01.002, 2014. a
Schwanghart, W. and Kuhn, N. J.: TopoToolbox: A set of Matlab functions for
topographic analysis, Environ. Modell. Softw., 25, 770–781,
https://doi.org/10.1016/j.envsoft.2009.12.002, 2010. a
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
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere, 12, 3265–3285, https://doi.org/10.5194/tc-12-3265-2018, 2018. a, b
Sternai, P., Herman, F., Fox, M. R., and Castelltort, S.: Hypsometric analysis
to identify spatially variable glacial erosion, J. Geophys. Res.-Earth, 116, F03001, https://doi.org/10.1029/2010jf001823, 2011. a
Sternai, P., Herman, F., Valla, P. G., and Champagnac, J.-D.: Spatial and
temporal variations of glacial erosion in the Rhône valley (Swiss Alps):
Insights from numerical modeling, Earth Planet. Sci. Lett., 368,
119–131, https://doi.org/10.1016/j.epsl.2013.02.039, 2013. a
Weertman, J.: On the Sliding of Glaciers, J. Glaciol., 3, 33–38,
https://doi.org/10.3189/S0022143000024709, 1957. a
Whipple, K. X.: Bedrock rivers and the geomorphology of active orogens, Annu.
Rev. Earth Planet. Sci., 32, 151–185,
https://doi.org/10.1146/annurev.earth.32.101802.120356, 2004. a
Whipple, K. X. and Tucker, G. E.: Dynamics of the stream-power river incision
model: Implications for height limits of mountain ranges, landscape response
timescales, and research needs, J. Geophys. Res.-Sol. Ea.,
104, 17661–17674, https://doi.org/10.1029/1999JB900120, 1999. a
Whipple, K. X. and Tucker, G. E.: Implications of sediment-flux-dependent river
incision models for landscape evolution, J. Geophys. Res., 107, 2039,
https://doi.org/10.1029/2000JB000044, 2002. a
Wobus, C., Whipple, K. X., Kirby, E., Snyder, N., Johnson, J., Spyropolou, K.,
Crosby, B., and Sheehan, D.: Tectonics from topography: Procedures, promise,
and pitfalls, in: Tectonics, Climate, and Landscape Evolution, edited by:
Willett, S. D., Hovius, N., Brandon, M. T., and Fisher, D. M., vol. 398 of
GSA Special Papers, 55–74, Geological Society of America,
Boulder, Washington, D.C., https://doi.org/10.1130/2006.2398(04), 2006. a
Short summary
In this study, we benchmark a topography-based model for glacier erosion (OpenLEM) with a well-established process-based model (iSOSIA). Our experiments show that large-scale erosion patterns and particularly the transformation of valley length geometry from fluvial to glacial conditions are very similar in both models. This finding enables the application of OpenLEM to study the influence of climate and tectonics on glaciated mountains with reasonable computational effort on standard PCs.
In this study, we benchmark a topography-based model for glacier erosion (OpenLEM) with a...
