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Annualmeeting:2017 CSDMS meeting-111 + (Sea level rise presents an urgent threat t … Sea level rise presents an urgent threat to the occupants of river deltas. However, while low lying deltaic landscapes are at risk of significant drowning, the ability to harness a river’s sediment delivery system offers deltaic populations a mechanism to control the location and extent of land loss via land building sediment diversions. Despite their well-recognized importance there are few examples of diversions that have been intensively monitored throughout their development to the extent necessary to support engineering decisions.In order to guide the operational design of two planned diversions in the Lower Mississippi River, we apply Delft3D to simulate diversion discharge through time as a function of the characteristics of the receiving basin. In both cases the conveyance channel connecting the river to the basin is prevented from eroding.We find that diversions in basins that offer many outlets for flow are more likely to maintain their discharge over a ten-year time horizon. We also find that diversion performance is not significantly affected by substrate erodibilities in the range of those found in the Mississippi River Delta, but that artificially increased bed strength would lead to decreases in performance. Our work also sheds light on the spatial pattern of erosion near a diversion. We find that very little erosion into the substrate occurs away from the immediate vicinity of the outfall channel, but that the evolution of the proximal scour is a critical control on the sustainability of the diversion. Ecological considerations suggest that operating diversions at low flow might be useful, but this practice increases the risk of back flow from the receiving basin.isk of back flow from the receiving basin.)
2019 CSDMS meeting-071 + (Seagrass provides a wide range of economic … Seagrass provides a wide range of economically and ecologically valuable ecosystem services, with shoreline erosion control often listed as a key service, but can also alter the sediment dynamics and waves within back-barrier bays. Here we incorporate seagrass dynamics into the existing barrier-marsh model GEOMBEST++ to examine the coupled interactions of the back-barrier bay with both adjacent (marsh) and non-adjacent (barrier island) subsystems. In our new integrated model, bay depth and distance from the marsh edge determine the location of suitable seagrass habitat, and the presence or absence, size, and shoot density of seagrass meadows alters the bathymetry of the bay and wave power reaching the marsh edge. While seagrass reduces marsh edge erosion rates and increases progradation rates in many of our model simulations, seagrass surprisingly increases marsh edge erosion rates when sediment export from the back-barrier basin is negligible. Adding seagrass to the bay subsystem leads to increased deposition in the bay, reduced sediment available to the marsh, and enhanced marsh edge erosion until the bay reaches a new, shallower equilibrium depth. In contrast, removing seagrass liberates previously-sequestered sediment that is then delivered to the marsh, leading to enhanced marsh progradation. Lastly, we find that seagrass reduces barrier island migration rates in the absence of back-barrier marsh by filling accommodation space in the bay. These model observations suggest that seagrass meadows operate as dynamic sources and sinks of sediment that can influence the evolution of coupled marsh and barrier island landforms in unanticipated ways.er island landforms in unanticipated ways.)
2024 CSDMS meeting-058 + (Sediment creep is ubiquitous and precedes … Sediment creep is ubiquitous and precedes failure (e.g. landslides) in most landscapes. Accurate modeling of sediment creep is therefore crucial for predicting both the long-term (>10 000 years) evolution of landscapes and the short-term (minute to centuries) evolution of landscapes and infrastructures. Current sediment creep transport laws used in landscape modeling are determined empirically over geological time scales and are diffusion-like (Roering et al,2001); yet the mechanics of sediment creep on all time scales remain poorly understood. As a result, creep models used in civil engineering, materials science, and geomorphology are largely disconnected in time scales, goals, and approaches. In particular, excess porous flow from rain infiltration is currently not a governing parameter of any creep model, while large rain events are known to trigger landscape failures.Houssais et al. (2021) showed experimentally for the first time, that porous flow can be a leading cause of creep, and ultimately the failure (avalanching) of sediment piles, for flow strength (or pore pressure) far lower than classically admitted. Building on the results from Houssais et al., we propose a new equation for sediment creep consistent with the general formalism of the mechanical creep of disordered materials. In our equation, the creep sediment flux is a function of: topographic slope (similar to the equation from Roering et al.), porous flow intensity, grains and fluid properties, and, importantly, time. We present here the first results of landscape dynamics from the implementation of our new sediment creep function in landlab, for the case of idealized berms (or coastal natural dams), before they breach. The long-term goal of this effort is to compare the model to our topographic and hydrogeologic observations of berms (pre-)breaching on the coast of Monterey County, CA, that occur each winter, as large rain episodes hit the land. This specific case is a good way to test our model validity over time scales from 1 minute to 1 month. In our presentation, we will show preliminary results of the berms creep (pre-breaching) dynamics, using over-simplified equations for the groundwater flow. In the future, we intend to develop a Landlab component of our new creep function, which could be used with Groundwaterdupuitpercolator, a landlab component recently developed to model groundwater flow while modeling landscape dynamics (Litwin et al., 2020, 2022).In the end, once this model is validated, it will allow us to model sediment creep at all time and rate scales, and better predict chances of, and monitor, sedimentary failures, such as breaching and landslides. Our new model for sediment creep fundamentally addresses our needs for better understanding and forecasting landscape response to changing climate patterns. Houssais, M., C. Maldarelli, and J. F. Morris, “Athermal sediment creep triggered by porous flow,” Physical Review Fluids, vol. 6, no. 1, p. L012301, 2021.Litwin, D. G., G. E. Tucker, K. R. Barnhart, and C. J. Harman, “Groundwaterdupuitpercolator: A landlab component for groundwater flow,” Journal of Open Source Software, vol. 5, no. 46, p. 1935, 2020.Litwin, D. G., G. E. Tucker, K. R. Barnhart, and C. J. Harman, “Groundwater affects the geomorphic and hydrologic properties of coevolved landscapes,” Journal of Geophysical Research: Earth Surface, vol. 127, no. 1, p. e2021JF006239, 2022.Roering, J. J., J. W. Kirchner, L. S. Sklar, and W. E. Dietrich, “Hillslope evolution by nonlinear creep and landsliding: An experimental study,” Geology, vol.liding: An experimental study,” Geology, vol.)
Meeting:Abstract 2013 CSDMS meeting-022 + (Sediment delivery to low-lying coastal zon … Sediment delivery to low-lying coastal zones must keep pace with, if not exceed, the rate of sea level rise in order to maintain a positive surface elevation. Deltaic lowlands are vulnerable to both sea-level rise and changes in river discharge, but whether the floodplains and coastal areas will ultimately drown depends on a balance of aggradation, eustatic sea level rise and subsidence. The Ganges-Brahmaputra (G-B) Delta is an example of a densely populated coastal system that could be flooded by rapid sea level rise within the next century. Annual monsoonal river flooding and cyclonic storm surges are the principal mechanisms by which sediment is distributed across the G-B floodplain and coastal plain. Stratigraphic reconstructions show that sedimentation in the upper floodplain was more than doubled under the Early Holocene enhanced monsoonal regime, suggesting that the delta may withstand an increase in monsoonal intensity, flooding, and tropical cyclones that are currently predicted in ensemble Community Climate System Model scenarios. In an effort to improve predictions of climatic forcing on aggradation rates in the G-B floodplain and lower delta, direct sedimentation measurements are paired with a series of model components coupled within the CSDMS Modeling Tool (CMT). A sediment flux model, a floodplain sedimentation model and a tidal-plain sedimentation model will be linked to explore the response of the G-B river system to a future sea-level rise and changes in river discharge. Model algorithms will be validated by sedimentation data collected in 2008 and 2012 from the tidal delta (The Sundarbans National Reserve mangrove forest) and the highly cultivated fluvial-dominated delta plain. Field data will also be compared to model outputs by constraining the spatial patterns of sedimentation across the delta front. In this talk, we present initial sedimentation results and discuss controls on heterogeneous patterns of deposition in the tidal versus fluvial dominated parts of the delta. Early results from individual model components will also be discussed in an attempt to integrate current understanding of the G-B System into a numerical modeling framework.ystem into a numerical modeling framework.)
2023 CSDMS meeting-081 + (Sediment dynamics on Arctic shelves can im … Sediment dynamics on Arctic shelves can impact coastal geomorphology, habitat suitability, and biogeochemical cycling, and are expected to be sensitive to changes in sea ice extent. Variability in coastal erosion, for example, has been related to variations in waves due to changes in sea ice extent, as well as water temperature. Yet, it remains unclear how changes in sea ice extent will impact hydrodynamic and sediment transport conditions on the continental shelf. To analyze this, we are using a coupled hydrodynamic - sediment transport numerical model, the Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS). The model is implemented for the Alaskan Beaufort Sea shelf and currently accounts for winds, sea ice, offshore currents, rivers, waves, and multiple sediment classes. Ongoing work includes finalizing model inputs. The model is being run for the 2019 open water season when sea ice retreats 100 - 300 km offshore. Analysis will focus on spatial and temporal variations in current velocities, waves, bed shear stresses, and sediment fluxes. Preliminary results show that the time-averaged depth-averaged currents, and likely sediment fluxes, are directed eastward along the shelf. Additionally, the largest bed shear stresses occur near the coast and on the shelf-slope break. Future work includes additional analyses, as well as sensitivity tests to better understand how a lengthening open water season and changing weather conditions may influence shelf sediment dynamics.ons may influence shelf sediment dynamics.)
2022 CSDMS meeting-087 + (Sediment dynamics on Arctic shelves can im … Sediment dynamics on Arctic shelves can impact coastal geomorphology, habitat suitability, and biogeochemical cycling, and are sensitive to changes in sea ice extent. Variability in coastal erosion, for example, has been related to variations in waves due to changes in sea ice extent, as well as water temperature. Yet, it remains unclear how changes in sea ice extent will impact hydrodynamic and sediment transport conditions on the continental shelf, motivating this study. To analyze this, we are using a coupled hydrodynamic-sediment transport numerical model, the Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS). The model is implemented for the Alaskan Beaufort Sea shelf and currently accounts for winds. Ongoing work includes accounting for waves, sea ice, and setting up open boundary conditions. In order to analyze variations in hydrodynamics and sediment transport, the model will be run for two open water seasons representing time periods where sea ice retreats 100-300 km offshore. Analysis will focus on spatial variations in current velocities, waves, and bed shear stresses, as well as how model estimates vary between the two time periods. Future work involves accounting for sediment transport in the model and performing sensitivity analyses to better understand how a lengthening open water season may influence the shelf sediment dynamics.may influence the shelf sediment dynamics.)
2023 CSDMS meeting-101 + (Sediment transport is a universal phenomen … Sediment transport is a universal phenomenon responsible for the self-organization of bedforms and dunes seen on the surfaces of many planetary bodies. The smallest of these patterns are wind, or impact ripples. Encoded in the sizes and propagation speeds of impact ripples is direct information about the local transport and environmental conditions: sediment fluxes, wind speeds, grain size, etc. However, to get at this information we must understand the processes that govern ripples dynamics. Because of the complexity of sediment transport, our current understanding of ripples is almost purely empirical, and the parameter space of the system has barely been explored.To aid at the process of understanding impact ripple dynamics in arbitrary environments we turn to a discrete element model (DEM) of sediment transport. Simulated ripples sizes from the DEM quantitatively agree with wind-tunnel and field data and therefore the DEM can be used as an experimental tool to explore the state space of the system. Preliminary experiments suggest that ripple wavelengths scale with the average hoplength of eroded grains, but only above a threshold. Below this threshold wavelengths stagnate and ripples begin to propagate upwind. These “antiripples” have not previously been predicted or observed. Yet simulations suggest that they are persistent for many planetary conditions such as those on Venus and even Earth (for large enough grain sizes). We present additional findings for a range of environmental conditions found in our solar system and beyond, and thus map out a more complete space of possible states for ripple formation in the Universe.ates for ripple formation in the Universe.)
Meeting:Abstract 2011 CSDMS meeting-049 + (Sedimentary delta formation varies over a … Sedimentary delta formation varies over a wide range of time and space scales. Reduced-complexity models offer a worthwhile means of retaining key dynamics and phenomena in delta morphodynamics through employing approximate but physically reliable descriptions of governing transport equations. To that end, we developed a cellular rule-based model, using a “directed” random-walk to determine the flow field, coupled with empirically based sediment transport schemes, following an Exner equation combining bedload and suspended load. Preliminary results provide physically reasonable 3-dimensional topographical features, as well as dynamic processes like channel avulsions and bifurcations. Stratigraphy is also recorded. The flexibility of the modeling framework makes each building block to be updated separately, which will allow for the ready extension to include additional phenomena such as waves and tides.itional phenomena such as waves and tides.)
2019 CSDMS meeting-052 + (Sequence is a modular 2D (i.e., profile) s … Sequence is a modular 2D (i.e., profile) sequence stratigraphic model that is written in Python and implemented within the Landlab framework. Sequence represents time-averaged fluvial and marine sediment transport via differential equations. The modular code includes components to deal with sea level changes, sediment compaction, local or flexural isostasy, and tectonic subsidence and uplift. Development of the code was spurred by observations of repetitive stratigraphic sequences in western Turkey that are distorted by tectonics.rn Turkey that are distorted by tectonics.)
Annualmeeting:2017 CSDMS meeting-090 + (Simulation models are explicit description … Simulation models are explicit descriptions of the components and interactions of a system, made dynamic in software. In Coupled Human-Earth Systems Science, we most often employ simulation to conduct controlled experiments in which key socio-ecological parameters are varied, and changes to system-level dynamics are observed over time. An interesting emergent property of these kinds of experiments is that they produce a range of possible outcomes for any set of initial conditions. Thus, rather than use simulations to explain particular case studies from the past, they are better suited to examine the dynamics of ancient systems in a more general way. Model parameters need to be determined and model output needs to be validated, however. So, our simulations *do* need to be connected to empirical data; a useful model must be capable of producing the same *kinds* of patterns observed in the archaeological record (but not *only* these patterns). It is often difficult, however, to connect model output to real data. In this presentation I draw upon research and modeling techniques being developed by the Mediterranean Landscape Dynamics Project to explore ways of connecting the output of simulation models to the kinds of proxy records that we typically use to learn about the past, such as the stratigraphic record, human artifact densities, and phytolith and charcoal accumulation., and phytolith and charcoal accumulation.)
2025 CSDMS meeting-141 + (Slip at the ice-bed interface (basal motio … Slip at the ice-bed interface (basal motion) dominates the flow of many glaciers, and it is uncertain whether this velocity component will increase or slow in a warmer world. Past results from an idealized flowline glacier model show that declining basal motion induces a two-phase response that initially accelerates glacier retreat in response to climate warming on a multidecadal timescale but lessens centennial-scale retreat and mass loss. In the present work, we utilize existing field-collected and remotely-sensed constraints on ice thickness, ice surface velocity, and the change in each of these terms to constrain the current rate of basal motion and its change over the past ~40 years. We focus our analysis on glaciers with well-constrained ice thickness, mass balance, and velocity records. Utilizing these constraints, we employ a simple flowline model to estimate the contribution of varying basal motion to observed changes in surface velocity across the study glaciers. We then estimate these glaciers’ retreat and thinning responses to changing velocity and compare these with the magnitudes expected from atmospheric warming, constrained by published point measurements, mass balance models, and snowline observations. These results will constrain the extent to which evolving ice dynamics have amplified or mitigated the response of global glaciers to climate change over past decades. Further, this knowledge will provide insight into the potential importance of varying basal motion on projections of future glacier change, with implications for global sea level rise as well as local water resource and ecosystem management.l water resource and ecosystem management.)
2021 CSDMS meeting-102 + (Slow-moving arctic soils commonly organize … Slow-moving arctic soils commonly organize into striking large-scale spatial patterns called solifluction terraces and lobes. Though these features impact hillslope stability, carbon storage and release, and landscape response to climate change, no mechanistic explanation exists for their formation. Everyday fluids—such as paint dripping down walls—produce markedly similar fingering patterns resulting from competition between viscous and cohesive forces. Here we use a scaling analysis to show that soil cohesion and hydrostatic effects can lead to similar large-scale patterns in arctic soils. A large new dataset of high-resolution solifluction lobe spacing and morphology across Norway supports theoretical predictions and indicates a newly observed climatic control on solifluction dynamics and patterns. Our findings provide a quantitative explanation of a common pattern on Earth and other planets, illuminating the importance of cohesive forces in landscape dynamics. These patterns operate at length and time scales previously unrecognized, with implications toward understanding fluid-solid dynamics in particulate systems with complex rheology.particulate systems with complex rheology.)
2018 CSDMS meeting-066 + (Soil creeps imperceptibly downhill, but al … Soil creeps imperceptibly downhill, but also fails catastrophically to create landslides. Despite the importance of these processes as hazards and in sculpting landscapes, there is no agreed upon model that captures the full range of behavior. Here we examine the granular origins of hillslope soil transport by Discrete Element Method simulations, and re-analysis of measurements in natural landscapes. We find creep for slopes below a critical gradient, where average particle velocity (sediment flux) increases exponentially with friction coefficient (gradient). At critical there is a continuous transition to a dense-granular flow rheology. Slow earthflows and landslides thus exhibit glassy dynamics characteristic of a wide range of disordered materials; they are described by a two-phase flux equation that emerges from grain-scale friction alone. This glassy model reproduces topographic profiles of natural hillslopes, showing its promise for predicting hillslope evolution over geologic timescales.lslope evolution over geologic timescales.)
2022 CSDMS meeting-068 + (Soil moisture state has a critical role on … Soil moisture state has a critical role on subsurface-land surface-atmosphere energy and water balance. Yet, there is still no consensus on how to initialize atmospheric-hydrologic models to improve the representation of soil moisture content. Lack of accurate observational soil moisture data is the root of this issue. Although there has been progress in providing remotely sensed soil moisture data (e.g., Soil Moisture Active Passive (SMAP) data), their resolution is not adequate for high-resolution simulations. As an alternative approach, many atmospheric-hydrological simulations use various spin-up periods prior to the start of their analysis to perturb and improve the low-resolution soil moisture with precipitation. It has been shown that such method can improve soil moisture distribution in some studies in comparison to observational data. However, starting simulations from earlier times can cause divergence from accurate initial atmospheric conditions, which were obtained from observational data when simulation reaches the analysis period of interest. Therefore, there is a tradeoff between starting several days or hours before the analysis period in accurate representation of atmospheric data versus soil moisture input. In this study, we evaluated the sensitivity of a high-resolution (150-m) Weather Research and Forecasting (WRF) model to initialization starting point. We ran five nested domains with 12150-, 4050-, 1350-, 450-, and 150-m resolutions to downscale NCEP North American Regional Reanalysis (NARR) to our domain of interest encompassing Baltimore-Washington metropolitan area. The five domains were run in three scenarios starting 4, 7, and 14 days before the analysis period. Land surface temperature (LST) output was compared to LandSat data to investigate the impact of initialization starting point on model’s LST predictability. Results indicate that while the three scenarios underperformed in prediction of the urban heat island, there was no significant difference among the three scenarios. We determined that one of WRF’s thermal roughness parameterizations, which improves LST simulation over nonurban areas, caused significant errors in LST prediction over urban areas. Further simulations and analysis are underway to improve urban LST prediction. The three case scenarios will be compared against LandSat again when urban LST prediction is improved.ain when urban LST prediction is improved.)
2021 CSDMS meeting-003 + (Son alluvial fan system, a megafan situate … Son alluvial fan system, a megafan situated at the foothills of Vindhyans, is governed by the endogenic and exogenic process operating in the Ganga foreland basin. The megafan is interspersed with a number of structural features in the bedrock overlain by quaternary alluvial cover viz., Munger Saharsa Ridge Fault (MSRF), East Patna fault (EPF), and West Patna fault (WPF), some other reported tectonic features. A number of studies have attempted to decipher the recorded signatures of these underlying bedrock structural features and related tectonoclimatic activities in in the form of geomorphic anomalies and sedimentological evidences. In this study, χ‐transform index and χ‐anomalies, in combination with stream channel sinuosity, channel steepness index (ksn), channel concavity index (θ), geomorphology, and field evidences, have been used to examine if these structural features be highlighted on the low relief megafan surface with bedrock-alluvial mixed to thick alluvial cover (upto 1000 m thick). Drainage basin divide (in)stability measured through across divide χ‐anomaly map which proven to be an important tool for quantification of basin and channel network geometry behaviour, has been found to highlight the areas with active structural activities around the reported bedrock structures in the experimental study. Geomorphology and field evidences corroborate the findings of this study.es corroborate the findings of this study.)
2021 CSDMS meeting-066 + (Source-to-sink (S2S) studies seek to expli … Source-to-sink (S2S) studies seek to explicitly link the denudation of continents with the building of basin stratigraphy in an effort to infer tectonic and climatic drivers of surface change. Quantitative models for S2S systems must incorporate geomorphic processes at both source and sink, yet more effort has been devoted to developing landscape evolution models in source terranes than equivalent models for sedimentation in marine basins. In particular, most marine sedimentation models use local linear diffusion approximations for sediment transport, which have been shown to yield reasonable stratigraphy in shallow marine environments but struggle to reproduce diagnostic features of deep marine deposits. The lack of model predictive power in deep marine environments precludes the full closure of S2S sediment budgets.We present a model for marine sedimentation with two simple modifications allowing non-local sediment transport: 1) a mechanism for sediment bypass on steep topographic slopes, and 2) a parameter allowing long-distance transport over vanishingly gentle slopes. We use Bayesian inference techniques to constrain four model parameters against the stratigraphy of the Orange Basin in southern Africa. We compare modeled against observed stratigraphy over 130 Ma of margin evolution. Our best-fit simulations capture the broad structure of the observed record, and imply non-negligible roles for both non-local model elements: sediment bypass at steep slopes and long-distance runout over gentle slopes. Residual misfit between our best-fit simulations and the stratigraphic data indicate that additional components of transport dynamics—likely hemipelagic sedimentation, grain size variations, or ocean bottom currents—might be required to achieve the longest transport distances observed in the sedimentary record. Results suggest that full closure of Earth’s sediment mass balance for S2S studies requires moving beyond local diffusion approximations, even at the longest timescales. Relatively simple modifications to modeled transport dynamics can lead to better agreement between modeled and observed stratigraphy, and may enable improved inference of landscape perturbations from the stratigraphic record.rturbations from the stratigraphic record.)
2022 CSDMS meeting-035 + (Stream channels that cross strike-slip fau … Stream channels that cross strike-slip faults play an essential role in the long-term landscape response. So far, numerical models of strike-slip faults have simulated fluvial erosion assuming purely detachment-limited conditions. The detachment-limited theory assumes that the erosion is controlled by material that is detached from the channel bed and is always transported by the flow. As an alternative, erosion in channels can be represented by the transport-limited theory, which assumes that sediment is always available but may or not be transportable depending on the flow capacity. Extreme environments such as the Atacama Desert in Northern Chile, are evidence of strike-slip faulting with channels covered by alluvial deposits, suggesting that the landscape is best represented by a combination of detachment-limited and transport-limited conditions. Based on the most recent strike-slip fault model we incorporate and couple the effect of the SPACE (stream power with alluvium conservation and entrainment) 1.0 Landlab component in Python. The SPACE component can freely transition between detachment-limited and transport-limited conditions offering a closer representation of what is observed in the natural world. The results of coupling SPACE with strike-slip faults models are contrasted against the models that apply only detachment-limited conditions, to identify the action of a layer of sediment in landscape modification under variable strike-slip fault conditions. The concluding remarks of this work contribute to testing the accuracy of simplifying channel erosion processes to the commonly used stream power equation in strike-slip fault settings.er equation in strike-slip fault settings.)
2022 CSDMS meeting-100 + (Stream discharge is often used to drive se … Stream discharge is often used to drive sediment transport models across channel networks. Because sediment transport is nonlinear, discharge arising from precipitation resolved at 1-hr resolution may simulate bedload differently than discharge arising from daily total precipitation distributed evenly over 24-hrs. In this study, we quantify the bias introduced into a network-scale bedload transport model due to this simplification in forcing. Specifically, we examine the difference between bedload transport capacity driven by 1- vs 24-hr precipitation derived stream hydrographs at channel network locations varying from lowland pool-riffle channels to upland colluvial channels in a watershed where snow accumulation and melt can affect runoff processes. Bedload transport error is expressed as the ratio of cumulative transport capacity driven by 1-h to the 24-h hyetographs. We find that, depending on channel network location, cumulative error can range from 10-20% to more than two orders of magnitude. Surprisingly, variation in flow rates due to differences in hillslope and channel runoff do not seem to dictate the network locations where the largest errors in predicted bedload transport capacity occur. Rather, spatial variability of the magnitude of the bankfull-excess shear stress and changes in runoff due to snow accumulation and melt exert the greatest influence. As bankfull-excess shear stress decreases in the upstream direction, the largest bedload transport capacity errors occur in upland channels. These findings have implications for flood-hazard and aquatic habitat models that rely on modeled sediment transport driven by coarse-temporal-resolution climate data.y coarse-temporal-resolution climate data.)
2018 CSDMS meeting-073 + (Subglacial hydraulics significantly affect … Subglacial hydraulics significantly affects the ice dynamics in Greenland and Antarctic ice sheets, however, has been poorly understood due to the lack of data. Here we present an OpenFOAM-based one-dimensional subglacial model, conduitFoam, to study the hydraulics and ice dynamics of polar ice sheets. This model solves the coupled mass conservation equations for ice and water, the momentum and energy conservation equations for water, with a lake-conduit or moulin-conduit system as constraint boundaries. The model is validated using the theoretical solution applied in early melting stage and lake melting stage of the Greenland ice sheet and can be used to infer the subglacial conduit properties and the ice sheet dynamics in both seasonal and diurnal melting situations.h seasonal and diurnal melting situations.)
2018 CSDMS meeting-012 + (Submarine slope failure is a ubiquitous pr … Submarine slope failure is a ubiquitous process and dominant pathway for sediment and organic carbon flux from continental margins to the deep sea. Slope failure occurs over a wide range of temporal and spatial scales, from small (10e4-10e5 m3/event), sub-annual failures on heavily sedimented river deltas to margin-altering and tsunamigenic (10-100 km3/event) open slope failures occurring on glacial-interglacial timescales. Despite their importance to basic (closing the global source-to-sink sediment budget) and applied (submarine geohazards) research, submarine slope failure frequency and magnitude on most continental margins remains poorly constrained. This is primarily due to difficulty in 1) directly observing events, and 2) reconstructing age and size, particularly in the geologic record. The state of knowledge regarding submarine slope failure preconditioning and triggering factors is more qualitative than quantitative; a vague hierarchy of factor importance has been established in most settings but slope failures cannot yet be forecasted or hindcasted from a priori knowledge of these factors. A new approach to address the knowledge gaps outlined above is using machine learning to quantitatively identify triggering and preconditioning factors that are most strongly correlated with submarine slope failure occurrence. This occurs in three general steps: 1) compile potential predictors of slope failure occurrence gridded and interpolated at desired resolution, 2) compile predictands (specific values that we wish to predict), and 3) recursively test predictor/predictand correlation with observed data until the strongest correlations are found. Potential predictors can be parsed into categories such as morphology (gradient, curvature, roughness), geology (clay fraction, grain size, sedimentation rate, fault proximity), and triggers (seismicity, significant wave height, river discharge). Predictands (i.e. training data) are various proxies for slope failure occurrence, including depth change between bathymetric surveys and sediment shear strength. The initial test sites are heavily sedimented, societally important river deltas, as they host both frequent slope failures and ample predictor/predictand measurements. Once predictors that strongly correlate with submarine slope failure occurrence are identified, this approach can be applied in more data-poor settings to further our current understanding of global submarine slope failure distribution, frequency, and magnitude. slope failure distribution, frequency, and magnitude.)
2023 CSDMS meeting-113 + (Subsurface flow dynamics are largely contr … Subsurface flow dynamics are largely controlled by pressure gradients generated by surface flow and differences in permeability. In most models, surface and subsurface flows are decoupled, with effects on one another only considered over relatively large time scales. However, at smaller time scales, these two flows interact and modify each other's structures and properties. In this study, we developed a fully-coupled free-surface/subsurface Large Eddy Simulation model to investigate the spatiotemporal variations in velocity and pressure, particularly near the bed surface. We validated our model by comparing it to experimental data from a laboratory simulation of open channel flow on a simulated salmon redd bed made of coarse granular sediment, using non-toxic index-matched fluid and stereo Particle Image Velocimetry (PIV). Our model accurately captured subsurface flow lines, velocity magnitude and direction, and superficial velocity profiles throughout the water column. With our validated model, we investigated the effects of subsurface hydraulic conductivity on the whole flow field.ulic conductivity on the whole flow field.)
2018 CSDMS meeting-043 + (Surface processes are constantly reworking … Surface processes are constantly reworking the landscape of our planet with perhaps the most diverse and beautiful patterns of sediment displacement known to humanity. Capturing this diversity is important for advancing our knowledge of systems, and for sustainable exploitation of natural resources by future generations. From a modeler's perspective, great diversity comes with great uncertainty. Although it is understandably very hard to quantify uncertainty about geological events that happened many years ago, we argue that modeling this uncertainty explicitly is crucial to improve our understanding of subsurface heterogeneity, as stratigraphy is direct function of surface processes. In this modeling work (and code), we aim to build realistic stratigraphic models that are constrained to local data (e.g. from wells, or geophysics) and that are, at the same time, subject to surface processes reflected in flume records. Experiments have improved tremendously in recent years, and the amount of data that they generate is posing new challenges to the surface processes community, who is asking more often the question "How do we make use of all this?" Traditional models based on differential equations and constitutive laws are not flexible enough to digest this information, nor were they created with this purpose. The community faces this limitation where the models cannot be conditioned on experiments, and even after exhaustive manual calibration of unobserved input parameters, these models often show poor predictive power. Our choice of inverse modeling and (geo)statistics (a.k.a. data science) was thus made knowing that these disciplines can provide the community with what we need: the ability to condition models of stratigraphy to measurements taken on a flume tank.phy to measurements taken on a flume tank.)
2025 CSDMS meeting-022 + (Suspended sediment concentration, flux, an … Suspended sediment concentration, flux, and river discharge are essential indicators of river ecosystem health and reflect watershed-scale processes. Monitoring these variables is labor-intensive, leading to sparse and geographically biased observations and the development of models to fill in the observational gaps. These models generally use either climatological data or satellite images to estimate one of these variables. In this work, we present a novel deep learning model that can leverage multiple data sources with different temporal characteristics to produce continuous daily estimates of suspended sediment concentration (SSC), suspended sediment flux (SSF), and discharge. The model first encodes daily hydrological data from the ERA5-Land reanalysis using a Long Short-Term Memory network and water color data from Landsat satellites using a Multi-Layer Perceptron network, then merge these encoded data sources using a cross-attention decoder. We train and test the model on a large dataset of in- situ observations from 630 river sites over 43 years in the contiguous United States, covering a wide range of watersheds and conditions. We produce SSC, SSF, and discharge predictions with respective relative errors of 54%, 73%, and 28%, and relative bias of -15%, -19%, and -3%. We use our model to create a dataset of continuous daily SSC, SSF, and discharge for all large rivers in the contiguous United States. This new model architecture provides a valuable tool for monitoring river systems, addressing limitations of single-source models and offering a framework applicable to other Earth systems monitoring problems where integrating diverse data streams may be useful.rating diverse data streams may be useful.)
2025 CSDMS meeting-061 + (Suspended sediment concentrations and flux … Suspended sediment concentrations and fluxes on continental shelves impact light attenuation and primary productivity, as well as geomorphology and incorporation of particles into sea ice. As Arctic permafrost thaws, increasing riverine delivery and shoreline erosion, it is particularly important to understand how sediment sources influence suspended sediment concentrations and transport. To investigate these topics, this study analyzed results from a coupled hydrodynamic - sediment transport numerical model, namely the Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS). The model was implemented for the Alaskan Beaufort Sea Shelf for the 2020 open water (nearly ice-free) season, and accounted for processes such as riverine delivery, winds, larger-scale currents, and sediment erosion, transport and deposition. Building on previous work, we categorized riverine and seabed sediments into 26 distinct classes that allow us to distinguish among material originating from different rivers and sections of the seabed. Analysis focused on the spatial distribution of riverine and nearshore sediments over the course of an open water season, as well as the extent to which each sediment class contributed to high turbidity events. Preliminary results suggested that aggregated mud delivered by rivers during an open water season stayed within water depths of 0 – 10 m for at least a month and a half, while some unaggregated mud was transported to deeper regions during this time. Additionally, high turbidity events mainly occurred due to local resuspension, as opposed to riverine plumes, for both aggregated and unaggregated mud. Ongoing and future work include analysis of uncertainty due, for example, to sediment settling velocity and other properties. Overall, these findings suggest that high turbidity events are driven by sediment delivered to the continental shelf during previous open water seasons or winters, as opposed to new terrestrial/riverine inputs.pposed to new terrestrial/riverine inputs.)
Meeting:Abstract 2013 CSDMS meeting-052 + (Sustainability of the anthroposphere is a … Sustainability of the anthroposphere is a result of a multitude of decisions made concerning social, economic and environmental questions. Decision makers who would like to ensure sustainable development as an emerging characteristic of humanity are challenged by the complexity of a planetary system re-engineered by an increasingly powerful global species. Examples of such problems are sustainable urban growth and the food-water-energy nexus. Tools to reliably assess the consequences of decisions from local to global level are not readily available. In particular, current capabilities for assessing the various impacts of climate variability and change, as well as other changes are inadequate. The Group on Earth Observation (GEO) recognized this emergency and promoted several initiatives that can help address this shortcoming. One of them is the GEO Model Web initiative. The goal of this initiative is to develop a dynamic modelling consultative infrastructure of intercommunicating models and datasets to serve researchers, managers, policy makers and the general public. It focuses on enhancing interoperability of existing models and making them and their outputs more accessible. The development of the Model Web holds the promise of more decision support tools becoming available. These tools would allow decision makers to ask “What if” questions prior to the implementation of decisions and support adaptive management and responsive design. The Model Web will also benefit researchers by making it easier to run model experiments and model comparisons or ensembles, as well as help highlight areas needing further development. The Model Web would support a synchronization across different spatial and temporal scales and across the languages of different disciplines, thus making the System of System (SoS) more intelligent. The beauty of having a SoS like this is that it amplifies the signal. An immediate application is the emerging geodesign approach to the design of sustainable built environments. The Model Web is developed in the framework of the Global Earth Observation System of Systems (GEOSS) implemented by GEO. The observing, modelling and other systems that contribute to GEOSS must be interoperable so that the data and information they generate can be used effectively. The Committee on Earth Observation Satellites (CEOS) is promoting interoperability through the Virtual Constellations concept, the Sensor Web approach, and by facilitating model interoperability and access via the Model Web concept.The Model Web is a concept for a system of interoperable models and data capacities communicating primarily via web services. It would consist of an open-ended, distributed, multidisciplinary network of independent, interoperating models plus related datasets. Models and datasets would be maintained and operated and served by a dynamic network of participants. In keeping with the SoS approach, the Model Web initiative will explore the interoperability arrangements necessary to integrate multi-disciplinary environmental model resources. The approach of loosely coupled models that interact via web services, and are independently developed, managed, and operated has many advantages over tightly coupled, closed, integrated systems, which require strong central control, lack flexibility, and provide limited access to products.Developing a long-term perspective, a logical next step would be the Internet of Models (IOM). Comparable to the already developing Internet of Things (IOT), which is predicted to connect by 2020 more than 50 billion “things” talking to each other without human interaction (or even knowledge), the IOM would have models talking to each other when needed without human interaction. If we compare the IOT to the nerve system of a human body, then the IOM would be the brain of the human being. Key to the development of IOT and IOM are standards that allow “things” and “models” to communicate when needed and to exchange information as needed (similar to the role of standards in the success of the WWW). Frameworks for model interactions are already developing (e.g. Object Modelling System, ModCom, the Invisible Modelling Environment, the Open Modelling Interface: OpenMI, the Spatial Modelling Environment: SME, Tarsier, Interactive Component Modelling System: ICMS, Earth System Modeling Framework: ESMF, SEAMLESS-IF , CSDMS, etc.), but they are not sufficient to achieve the Model Web (or the IOM). A major effort to develop the standards for the IOT is under way, and a similar effort to needed for the IOM standards. The combination of IOT and IOM would greatly enhance science capabilities, early warning, assessments of impacts, etc.arly warning, assessments of impacts, etc.)
2024 CSDMS meeting-073 + (TBA)

Meeting:Abstract 2013 CSDMS meeting-051 + (TITLE: Growth and Abandonment: Quantifying … TITLE: Growth and Abandonment: Quantifying First-order Controls on Wave Influenced DeltasAUTHORS: Jaap Nienhuis12, Andrew D Ashton1, Liviu Giosan1INSTITUTIONS: 1. Geology & Geophysics, Woods Hole Oceanographic Institution, Woods Hole, MA, United States. 2. Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, United StatesABSTRACT BODY: River delta evolution is characterized by cyclical progradation and transgression: the delta cycle. We investigate the growth and decay of the individual or main lobes of deltas with strong wave influence with the aim to quantitatively compare marine to terrestrial controls. We apply a model of plan-view shoreline evolution to simulate the evolution of a deltaic environment. The fluvial domain is represented by deposition of sediment along the shoreline, developing along a predefined single or multi-channel fluvial network. We investigate the influence of wave climate, fluvial sediment input and network geometry.For growing deltas, we present a sediment-flux-based approach to quantify the relative influence of fluvial versus marine (wave) controls on morphology. Wave domination requires that the magnitude of the fluvial bedload flux to the nearshore region be less than the alongshore sediment transport capacity of waves removing sediment from the mouth. Fluvial dominance occurs when fluvial sediment input exceeds the wave-sustained alongshore sediment transport for all potential shoreline orientations, both up- and downdrift of the river mouth. For a single delta (or delta lobe), this transition depends not only on the fluvial river sediment flux and wave energy, but also on the directional wave climate.Channel bifurcation is critical; it splits the sediment discharge from the river, while the potential alongshore sediment flux per channel remains equal. Fluvial dominance persists until sufficient bifurcations have split the fluvial sediment flux among the channels or until the occurrence of a river avulsion. This simplified model allows us to quantify the transition from fluvial to wave dominance and enables comparisons with natural examples near this transition, such as the Tinajones lobe of the Sinu River Delta, Colombia, and the Po Delta, Italy.During delta abandonment, model results suggest littoral sediment transport can result in four characteristic modes of wave reworking, ranging from diffusional smoothing of the delta (or delta lobe) to the development of downdrift-extending recurved spits. The directional characteristics of the wave climate, along with the pre-abandonment delta shape, determine the mode of reworking. Simple analysis of pre-abandonment delta shape and wave characteristics provides a framework for predicting the mode of delta reworking; model predictions agree with the observed morphology of historically abandoned delta lobes, including the Nile, Ebro, and Rhone. These results provide insight into the potential evolution of active delta environments facing near elimination of fluvial sediment input.ng near elimination of fluvial sediment input.)
Meeting:Abstract 2013 CSDMS meeting-029 + (Tectonic strain localization creates spati … Tectonic strain localization creates spatially anisotropic mechanical strength patterns that are reflected by landscape. Strain in the frictional-brittle crust produces predictable anisotropic cohesion and grain size distribution fabrics that influence spatial strain induced (SI) erodibility patterns where exposed at the surface. We assume that bedload impact is the primary mechanism for bedrock incision and erodibility is an inverse function of cohesion, which can be reduced by more than 2 orders of magnitude at the meter scale due to fragmentation and grain size reduction. The density, position, and orientation of SI anisotropies depends on the magnitude of strain and the tectonic horizontal/vertical shear stress ratio. The influence of tectonic strain on landscape becomes apparent by incorporating 3D strain induced crustal failure in a landscape evolution model. Natural observations and model results suggest naturally occurring SI anisotropy exerts a first order influence on geomorphic metrics for active orogens, including incision rate, 3D stream network geometry, and topographic evolution. Rates of vertical incision and knickpoint migration are orders of magnitude faster along SI anisotropy exposures. Shallowly dipping faults produced in a dip-slip regime are largely protected from vertical incision by unstrained overburden while a steeply dipping fault produced in a strike-slip regime is largely exposed to vertical incision. The strain field controls hydraulic geometry by influencing 1) the spatial distribution of discharge by establishing anisotropic erodibility patterns and 2) slope changes at erodibility transitions and differential uplift in a watershed. The influence of tectonic strain on landscape increases with the horizontal/vertical shear stress ratio because more steeply dipping and interconnected faults are produced. SI anisotropy controls channel network geometry by amplifying long wavelength tortuosity where fault-bound channels connect and muting short wavelength tortuosity along faults. Both effects increase with increasing tectonic horizontal shear strain. Channel width becomes constricted by the width of SI cohesion reduction, causing channel width to become a function of strain rather than reflecting only the hydraulics of a drainage basin.g only the hydraulics of a drainage basin.)
2024 CSDMS meeting-056 + (Terrestrial cosmogenic nuclides (TCN) are … Terrestrial cosmogenic nuclides (TCN) are commonly used to assess denudation rates in soil-mantled uplands. The estimation of an inferred denudation rate (Dinf) from TCN concentrations typically relies on the assumptions of steady denudation rates during TCN accumulation and negligible impact from soil chemical erosion on soil mineral abundances. However, in many landscapes, denudation rates are not steady, and the composition of soil is markedly affected by chemical erosion, adding complexity to the analysis of TCN concentrations. We introduce a landscape evolution model that computes transient changes in topography, soil thickness, soil mineralogy, and soil TCN concentrations. With this model, we explored TCN responses in transient landscapes by imposing idealized perturbations in tectonically (bedrock uplift rate) and climatically sensitive parameters (soil production efficiency, hillslope transport efficiency, and mineral dissolution rate) on synthetic, steady-state landscapes. The experiments on synthetic landscapes delivered important insights about TCN responses in transient landscapes. Results showed that responses of Dinf to tectonic perturbations differ from those to climatic perturbations, indicating that spatial and temporal trends in Dinf serve as indicators of perturbation type and magnitude. Also, if soil chemical erosion is accounted for, basin-averaged Dinf inferred from TCN in stream sediment closely tracks actual basin-averaged denudation rate, showing that Dinf is a reliable representation of actual denudation rate, even in many transient landscapes. In addition, we demonstrate how this model can be applied to a real landscape in the Oregon Coast Range and how model predictions can be compared to field measurements of cosmogenic nuclides and chemical depletion in sediments. Overall, landscape evolution models infused with cosmogenic nuclides can be used to scrutinize methodological assumptions, reveal potential real-world patterns in transient landscapes, and deepen the comprehension of field data.nd deepen the comprehension of field data.)
Meeting:Abstract 2011 CSDMS meeting-071 + (Texas has historically faced severe hurric … Texas has historically faced severe hurricanes with Ike being the most recent major storm example. It is believed that coastal wetlands might reduce the impact of the storm surge on coastal areas, acting as a natural protection against hurricane flooding, especially for small hurricanes and tropical storms. Numerical analysis is an important instrument for predicting and simulating the flooding extent and magnitude in coastal areas. In recent years, improvements on the understanding of the physics of storm surges have led to the development of physically based numerical models capable of reasonably representing the storm surges caused from hurricanes. Wetlands are represented in the numerical model through their influence on the frictional resistance proprieties and bathymetric changes. To characterize the wetland types and their spatial distribution along the coast, we used six different land use databases from the National Land Cover Dataset (NLCD) (1992, 2001), the National Wetlands Inventory (NWI) (1993) and the Coastal Change Analysis Program (C-CAP) (1996, 2001, 2006). The analyses was conducted for Corpus Christi Bay using a pre-validated, physically based, hydrodynamic model (ADCIRC) and a wind and pressure field model (PBL) representing the physical properties of historical hurricane Bret. The calculations were performed using an unstructured numerical grid with 3.3 million nodes covering part of the Atlantic Ocean and the entire Gulf of Mexico (resolution from 2000 km to 50 meters at the coast). Considering the expected rise in the mean sea level, wetland composition and spatial distribution are also expected to change as the environmental conditions change along the coast. We analyzed a range of Intergovernmental Panel on Climate Change (IPCC) projections for sea level rise (SLR) to simulate wetland alterations and evaluate their impact on hurricane storm surge. The wetland degradation by SLR was spatially simulated using empirical relations for water levels/tides and ecosystem resilience. The choice of wetland database resulted in surge variations of less than 0.1 m in locations inside Corpus Bay. Preliminary studies considering IPCC scenarios (B1, A1F1, B1FI) for 2030 and 2080 plus predicted local subsidence showed that, although the SLR scenarios for 2030 did not affect surge considerably inside the bay (SLR increase removed after simulation), the greater degradation of the wetlands caused by SLR on the 2080 scenarios (0.80 m SLR + subsidence) resulted in surges on the order of 0.3 m higher for Hurricane Bret in selected locations. Future work includes performing analyses using different storm conditions (forward speed, central pressure and storm radius), additional and less conservative SLR scenarios, damage assessment and also include the effects of waves using the coupled version of ADCIRC with UNSWAN.the coupled version of ADCIRC with UNSWAN.)
2019 CSDMS meeting-102 + (The ADCIRC finite element coastal ocean mo … The ADCIRC finite element coastal ocean model is used in real time decision support services for coastal and riverine hydrodynamics, tropical cyclone winds, and ocean wave modelling for public sector agencies including NOAA, FEMA, Coast Guard, and the US Army Corps of Engineers, among others. Recent developments in ADCIRC's real time automation system, the ADCIRC Surge Guidance System (ASGS), have now enabled real time modelling of active flood control scenarios (manipulation of pumps and flood gates) for decision support during riverine floods and tropical cyclone events. During these events, the results are presented to official decision makers with the Coastal Emergency Risks Assessment (CERA) web application, an intuitive and interactive tool that integrates model data with measured data to provide situational awareness across the area of responsibility. Case study events will be described, including official decisions that have been made with ADCIRC in North Carolina (Irene 2011), Louisiana (Mississippi River flooding in 2016), and during the 2017 and 2018 hurricane seasons for Hurricanes Harvey, Irma, Maria, Florence, and Michael.arvey, Irma, Maria, Florence, and Michael.)
2022 CSDMS meeting-026 + (The Amazon River Basin is the largest rive … The Amazon River Basin is the largest river system in the world, accounting for one-fifth of global freshwater discharge and supplying 40% of the Atlantic Ocean’s sediment flux. Though the Amazon is most often recognized for its rich biological diversity, it also performs a suite of ecosystem functions such as river flow regulation, local climate modulation, and carbon sequestration. Despite its ecological importance, the Amazon experiences thousands of kilometers of deforestation annually with recent rates increasing to levels unseen since the late 2000s. These increased rates of deforestation within the basin have led to changes in sediment concentration within its river systems, affecting not only the ecological balance within the system but also the availability of water to those dependent on river flows. Furthermore, sediment plays an important role in river channel morphology and landscape development, effectively influencing the future topography of the basin. Therefore, it is important to closely examine the relationship between deforestation and suspended sediment in order to characterize the extent of influence anthropogenic activities, such as deforestation, have on rivers. In this study, we analyze the impact of deforestation from 2001 to 2020 on suspended sediment throughout the Amazon River Basin. These effects are studied by quantifying the spatiotemporal relationships between observed suspended sediment (at gage sites and using a basin wide remote sensing product) and changes in land cover over time. We hypothesize that deforestation will lead to significant increases in suspended sediment flux in adjacent streams and that the effect of deforestation on suspended sediment flux will decrease significantly downstream. We then apply these relationships to developing a new parameter within an existing global-scale sediment flux model, WBMsed. global-scale sediment flux model, WBMsed.)
2025 CSDMS meeting-032 + (The Amazon River Basin stands out as the m … The Amazon River Basin stands out as the most biodiverse system in the world. However, the period when the river started flowing from the Andes to the Atlantic Ocean is still in large debate. Different studies have dated this period from the Late Miocene to the Pleistocene. The lack of a Miocene sedimentary record in the area, along with the limitations of geochronological tools that reach this timescale for shallow deposits, makes it difficult to date the event using onshore sediments, which suggests a possible Miocene age. In this study, we seek to contribute to this knowledge gap by using the landscape to reconstruct the timing of transcontinentalization. We hypothesize that when the proto-Amazon River (eastern) integrated with the western Amazon River system, it led to an increase in drainage area at the Lower Amazon River. This increase must have caused the incision of its substrate, thus lowering the base level of its tributary basins in eastern Amazonia. The lowering caused the propagation of knickpoints in the tributary basins that have been adjusting to the new base level. Widespread waterfalls at common elevations and area-corrected distances in basins provide geomorphic evidence of such base level fall. We collected 20 samples of Be-10 and 6 of Al-26, which can be used to infer erosion rates in these tributary basins. These data reveal erosion rates from 8 to 12 m/Ma. Combining these rates with the channel steepness, we obtained a value of erosional efficiency (stream power’s K) for the region. This value of 2.28 m0.1 yr-1 was used in a linear inversion of the stream power equation to obtain a base level fall age. Preliminary results showed an age estimated around 5 to 10 Myr for the formation of knickpoint clusters, thus within the time window of the commonly proposed Amazon River’s formation. However, this approach relies on linearity to calculate the stream power erosion, and it is best suited for bedrock rivers. We explore how these assumptions (i.e. n=1 and detachment-limited), influence our results by inverting a landscape model using the SPACE 1.0 component (transport and detachment-limited river-based modeling) applied to the Simulation-based inference toolkit to find best-fit sediment-transport and deposition parameters. We then compare the age solutions with the age of the linear inversion, ultimately to assess the uncertainty around the age of the latest base-level fall in the Amazon River.atest base-level fall in the Amazon River.)
2022 CSDMS meeting-105 + (The Atlantic basin has experienced heighte … The Atlantic basin has experienced heightened storm activity in recent decades setting the perfect condition for both fluvial flooding and coastal storm surges and consequently disrupting the hydrological system and the environmental balance. The Maryland Coastal Bays (MCBs), a shallow interconnected lagoon system with two inlets, is heavily influenced by tides and currents and also sensitive to climate change and storm surge. Despite several existing studies on the Atlantic winter storms impact on the hydrodynamics within the MCBs, a critical knowledge gap relating the interaction between coastal and inland processes still exists. The purpose of this study is to focus on the application of a coupled hydrologic-hydrodynamic model to a compound flooding study to understand the interrelation between simultaneous occurrence of fluvial flooding and storm surges around the St Martin River and the MCBs areas respectively. In this study, CE-QUAL-W2 is used to simulate the hydrological processes while the hydrodynamic processes in the MCBs and adjacent coastal ocean are simulated using 3-D unstructured-grid based Finite Volume Community Ocean Model (FVCOM). The outputs from CE-QUAL-W2 are introduced into adjacent FVCOM grid where the former’s downstream-most segment meets the latter’s land boundary. Comparison of water level elevations computed with and without inflows from CE-QUAL-W2 reveals the extent to which the MCBs are influenced by river input during extreme events and vice versa. A series of sensitivity tests in different scenarios and subsequent comparison with baseline will provide some insight on how effective model results are at simulating such scenario in hydrological and hydrodynamic regimes around the MCBs. The finding from this study on the MCBs is hoped to provide insights into these shallow bays’ response to different dynamics in a holistic manner and to identify probabilities and consequences of what the future may hold. consequences of what the future may hold.)
2024 CSDMS meeting-096 + (The Atlantic coast of New Jersey experienc … The Atlantic coast of New Jersey experienced impacts from distal passages of two hurricanes in fall 2023, including Hurricane Lee in mid-September followed by Tropical Storm Ophelia in late September. A total of 20 beach profiles spaced by 100 meters along the Ortley Beach and surrounding beaches in Ocean County, New Jersey, were established. Weekly beach surveys using RTK-GPS from the edge of the dune to mean low water was conducted from September 14 to October 12, 2023. The data captures the severe dune/beach erosion induced by the passage of TS Ophelia, with large waves and storm surges. The natural recovery processes of beach post tropical storm were interrupted by the subsequent winter storms starting from mid to late October. The systematic beach survey was continued until January 2024, the peak of winter season. Our results indicate that pre-storm beach width plays an important role in protection of dunes and landward infrastructure, the threshold beach width for dune line protection is about 40 m. Given the context of global climate change, the chance of sequence of storms (tropical and winter storms) have considerably increased. Field observations on beach changes induced by storms will enhance our understanding on beach management.nce our understanding on beach management.)
2023 CSDMS meeting-069 + (The Doodleverse (https://github.com/Doodle … The Doodleverse (https://github.com/Doodleverse) is an ecosystem of Python software, data, and Machine Learning (ML) models for the application of image segmentation. Image segmentation is pixelwise classification, and is ubiquitously applied across Earth sciences. Imagery is any type of gridded data, including numerical model inputs and outputs. As such, image segmentation is a potentially useful generic tool in numerical modeling exercises, which will be demonstrated using a case study in this poster and epub.Doodleverse workflows are fully reproducible, such that it is possible to entirely reconstruct a labeled dataset and model from scratch by anyone on any computing platform. There are 3 main software; 1) “Doodler”, a human-in-the-loop ML tool for interactive image segmentation, 2) “Segmentation Gym”, for training image segmentation models, facilitating model experimentation, and 3) “Segmentation Zoo”, a repository of trained models that each do specific tasks, along with code implementation examples. Deep learning models are based on Keras/Tensorflow. Currently, the UNet, Residual UNet, and Segformer model architectures are available.The focus now is building downstream and demonstrative applications that use Segmentation Zoo models for specific data retrieval, extraction and mapping tasks. They include 1) “CoastSeg”, for mapping coastal shoreline dynamics using satellite imagery; 2) “Seg2Map”, for generic landuse/cover and landform mapping from publicly available high-resolution imagery; and 3) “PingMapper”, for mapping river and lake substrates from sidescan sonar imagery. Watch out for more Doodleverse applications in the future!re Doodleverse applications in the future!)
Meeting:Abstract 2011 CSDMS meeting-078 + (The Flood Early Warning System (FEWS) was … The Flood Early Warning System (FEWS) was designed as a hydrologic forecasting and warning system. A major design philosophy of FEWS is to use an open infrastructure to facilitate data import, manipulation, and export from a wide –and expanding – number of data sources. The same can be said of the models that FEWS communicates with. This open infrastructure allows FEWS to be used with novel data sources and models. Given its proven history in hydrologic forecasting, this makes FEWS well suited to modeling and forecasting fluvial influence on coastal and marine systems.Here we present an example of how FEWS can be extended to use oceanographic data. Our example forecasts stage in the Potomac River, where storm surges, especially during hurricanes, can cause flooding in a densely populated area. We use gridded data from the Integrated Ocean Observing System (IOOS). Data from the Chesapeake Bay Regional Ocean Modeling System (ChesROMS), posted to an OpenDAP server, were accessed from within FEWS. FEWS was used to manipulate the ChesROMS data. For example, the ChesROMS data are disaggregated to produce a time step consistent with available discharge time series, and point data are extracted from the ChesROMS grid at river monitoring sites. The model HEC-RAS is then used to forecast water heights given inputs of stage and discharge. This example illustrates the flexibility of FEWS, and its ability to be used in new areas., and its ability to be used in new areas.)
Annualmeeting:2017 CSDMS meeting-017 + (The Ganges-Brahmaputra-Meghna Delta (GBMD) … The Ganges-Brahmaputra-Meghna Delta (GBMD), located in South Asia, is the largest river deltaic system in the world covering 41,000 mi2. Roughly the size of Kentucky, the GBMD is an extremely fertile region of protected mangrove forests and intensely cultivated land connected in a complex network of tidal channels, creeks, swamps, and oxbow lakes. Anthropogenic forces, natural subsidence accumulation, and eustatic sea level rise threaten deltas such as the GBMD and the quality of life of the people residing there. Most of the GBMD is located within Bangladesh and provides essential transportation services through inland waterways that carries 50% of cargo traffic and 25% of all passenger traffic mostly through the active northeastern region labeled with a dashed yellow line as shown in Figure 1. Vanderbilt’s multidisciplinary Integrated, Social, Environmental, and Engineering (ISEE) research team’s previous research efforts in Bangladesh focused on the physical characteristics of the deltaic system as climate change and anthropogenic forces affect it, but little is known about how channel closures affects the transportation network. Recent research has made use of available Landsat data combined with Google earth imagery to identify key metrics and attributes of the GBMD in order to link connectivity of distributary fluvial patterns to ecosystem services (Passalacqua et al., 2013). This work aims to integrate previous research using satellite imaging to model the transportation network that uses metrics such as channel width and nearest edge distance combined with available data on freight movement provided by multiple sources of information, such as the World Bank. In later stages of the project, we will use historical data of satellite imagery to capture channel dynamics that will be used to simulate disruptions to the transportation network and analyze subsequent impacts to Bangladesh’s economy. This allows decision makers to better understand how natural and anthropogenic forces affect the coupled human-environment system and to identify critical links within the transportation network that have the largest impact to Bangladesh’s economy when disrupted. Reference: Passalacqua, Paola, et al. "Geomorphic signatures of deltaic processes and vegetation: The Ganges‐Brahmaputra‐Jamuna case study." Journal of Geophysical Research: Earth Surface 118.3 (2013): 1838-1849.ch: Earth Surface 118.3 (2013): 1838-1849.)
2025 CSDMS meeting-054 + (The Gediz Fault, forming the southern marg … The Gediz Fault, forming the southern margin of the Gediz (Alaşehir) Graben, has been the focus of a number of studies over the last decade that have highly constrained its structural and geomorphic evolution. Consequently, this region now forms an excellent natural laboratory for the investigation of the interplay of lithology and tectonics on long term landscape evolution. Located in the highly tectonically active and seismogenic region of Western Turkey, extension owing to regional geodynamic controls has resulted in a broadly three-phase evolution of the graben. Initial low-angle normal faulting between 16 - 2.6 Ma was followed by high-angle normal faulting along three fault strands that initiated ~ 2 Ma. Subsequent, fault linkage at ~ 0.8 Ma resulted in the present structural configuration. The long-term throw rate of the graben boundary fault, derived from geological piercing points, lies in the range 0.4 - 1.3 mm/yr, while river profile analysis suggests an increase from 0.6 to 2 mm/yr as a result of the linkage. Recent measurements of catchment averaged erosion rates (CAERs) from 10Be and 26Al cosmogenic nuclide analysis indicate that erosion rates within the transient reach of rivers crossing the fault vary from 16 to 1330 mMyr-1. However, CAERs only show weak relationships with unit stream power, steepness index and slip rate on the bounding fault and no clear relationships between erosion rate and relief or catchment slope. This is potentially the result of the strong lithological contrast in the footwall between strong metamorphic rocks and weak sediments, resulting in the sedimentary reaches behaving as gravel-bed or transport-limited channels. A landscape evolution model (LEM) built using Landlab components is used to further investigate the complex interplay between bedrock lithology, uplift, erosion and channel behaviour. First, a simple dipping fault model is used to validate the proposed evolution of the boundary fault. Second, a strong lithological boundary is introduced with and without sediment transport. While, the LEM does not explicitly address different mathematical models of river profile evolution, it confirms the significance of a strong lithological contrast on the geomorphic development of the Gediz region.eomorphic development of the Gediz region.)
2022 CSDMS meeting-080 + (The Jamuna Valley of the Bengal basin was … The Jamuna Valley of the Bengal basin was in part developed by an early Holocene (~10.5 ka) Tibetan-sourced glacial lake outburst megaflood. This same event scoured a smaller, tangential channel east of the Jamuna valley into Sylhet Basin. This flood-carved channel on the western margin of the basin remained unoccupied until delta aggradation allowed the Brahmaputra River to re-occupy it ~7.5 ka. Strong topographic and tectonic influences suggest that the river was primed to occupy the topographically low basin interior. In spite of these conditions, the Brahmaputra remained largely restricted to this marginal paleo-flood course for the next ~2500 years. We use numerical modeling to investigate two possible scenarios driving the persistence of this channel course: (1) local backwater effects from a semi-permanent 10,000 km2 lake within the basin due to enhanced early Holocene Indian Summer Monsoon conditions, and (2) antecedent morphological control of the paleo-flood channel form. We simulate mid-Holocene conditions in Sylhet Basin by perturbing several physical parameters within a 1-D channel profile model and a 2-D depth-averaged hydrodynamic model to determine preferential flow path selection between two possible pathways. Neither a local backwater effect nor a reduction of the topographic slope to simulate pre-subsidence topography along two pathways appear to be plausible explanations for exclusion of flow to the central basin. Instead, the introduction of a scour along the western margin flow path is the only mechanism tested that induces a strong preference for bypass of the basin. Thus, both field and modeling evidence indicate that Himalayan-sourced megafloods modified the lowstand surface of the Bengal basin, creating antecedence that strongly influenced Holocene delta evolution and river channel behavior. These results suggest that geologically instantaneous, event-scale processes may exert long-term control on sediment dispersal patterns and thus preserved stratigraphy at the basin scale, even in large systems with pronounced tectonic and climatic influences.onounced tectonic and climatic influences.)
Meeting:Abstract 2013 CSDMS meeting-078 + (The Landlab project creates an environment … The Landlab project creates an environment in which scientists can build a numerical landscape model without having to code all of the individual components. Landscape models compute flows of mass, such as water, sediment, glacial ice, volcanic material, or landslide debris, across a gridded terrain surface. Landscape models have a number of commonalities, such as operating on a grid of points and routing material across the grid. Scientists who want to use a landscape model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written. Whereas the end result may be novel software programs, many person-hours are lost rewriting existing code, and the resulting software is often idiosyncratic and not able to interact with programs written by other scientists in the community. This individuality in software programs leads to lost opportunity for exploring an even wider array of scientific questions than those which can be addressed using a single model. The Landlab project seeks to eliminate these redundancies and lost opportunities by creating a user- and developer-friendly numerical landscape modelling environment which provides scientists with the fundamental building blocks needed for modeling landscape processes. The Landlab will include a number of independent, interoperable components such as (1) a gridding engine to handle both regular and unstructured meshes, (2) an interface for space-time rainfall input, (3) a surface hydrology component, (4) an erosion-deposition component, (5) a vegetation dynamics component and (6) a simulation driver. The components interface with each other using the basic model interface (BMI) and will be fully compatible with the CSDMS Modeling Toolkit. Users can design unique models simply by linking together already-built components into a “new” landscape model within the landlab environment. Alternatively, users can design new landscape models by creating process components that are specialized for individual studies and linking these new components with preexisting Landlab components.nents with preexisting Landlab components.)
2022 CSDMS meeting-081 + (The Luke and Higley basins of Phoenix, AZ … The Luke and Higley basins of Phoenix, AZ (USA) were once endorheic basins that gradually filled up with sediments (i.e., they aggraded). At the start of the Pleistocene ( ~2.5 Ma), the Salt and Gila rivers integrated into these basins, changing them to exoreic rivers. Aggradation remained after integration and persisted to the present day, producing a continuous local base-level rise. In the presence of aggradation, the expectation is to observe channel infilling on pediments and alluvial fans. However, we observed the exact opposite condition in some cases: increased incision. We hypothesize that a massive lateral shift in piedmont base-level produced by Salt and Gila rivers integration explains the increase in the local incision, despite the basin aggradation. We tested our hypothesis through a 1D diffusion model representing an idealized piedmont profile under different toe displacement conditions. The diffusion simulations support the hypothesis that base-level rise and lateral shifting can generate piedmont incisions. Indeed, incisions would only appear if u*tan( β)/v > 1, where u, v, and β are the rate of lateral shift, rate of base-level rise, and initial elevation angle of the piedmont, respectively. Our findings suggest that some past sedimentological records of pediments and alluvial-fan systems could have been misinterpreted (i.e., associated with base-level fall). However, additional research is necessary to confirm our initial findings.is necessary to confirm our initial findings.)
Meeting:Abstract 2011 CSDMS meeting-081 + (The MUltiDisciplinary Benthic Exchange Dyn … The MUltiDisciplinary Benthic Exchange Dynamics (MUDBED) program explored the impact of physical and biological processes on turbidity and sediment properties in a muddy estuary. Hydrodynamics, settling velocity, and erodibility influence suspended sediment concentrations. In turn, flux convergence and divergence modify suspended sediment and seabed properties, thereby impacting Estuarine Turbidity Maxima (ETM). In partially mixed estuaries like the York River, VA variations in stratification and sediment trapping respond to tides, discharge, and winds, and produce a Secondary Turbidity Maxima (STM) that appears seasonally downstream of the main ETM.A hydrodynamic and sediment-transport model of the York River was developed to examine feedbacks between sediment flux convergence, erodibility, and settling velocity. The Regional Ocean Modeling System (ROMS) was coupled to the Community Sediment Transport Modeling System (CSTMS). The model included bed consolidation by representing critical shear stress for erosion as increasing with depth in the bed and with time since deposition. Multiple grain types were used having settling velocities from 0.1 – 2.5 mm/s. Calculations of turbidity and erodibility showed similar patterns to observations and exhibited high spatial variability in both the along and across channel directions. Sediment trapping in the model led to the development of an erodible pool of sediment near the observed STM. Enhanced erodibility elevated suspended sediment concentrations in that area for some time after sediment convergence processes diminished. This poster will explore the behavior of the model and evaluate the use of the simplified bed consolidation model within a full three-dimensional numerical model. a full three-dimensional numerical model.)
2021 CSDMS meeting-078 + (The Marlborough Fault System (MFS) consist … The Marlborough Fault System (MFS) consists of four main dextral strike-slip faults which link subduction with oblique continental collision in central New Zealand. It is a zone where crustal transfer from one plate to another is occuring, where a subduction interface is developing within a previously intact plate and which varies along and across strike. We use a variety of tools including topographic fabric, river evolution, thermochronology and geological history to understand the deformation that is occurring across the MFS. We show that the eastern and western ends of these faults have had completely different evolutions through time. These apparently continuous strike-slip faults have coalised into through going structures quite recently. The signature of these processes can be found in the landscape.e processes can be found in the landscape.)
2023 CSDMS meeting-095 + (The McKenzie River is a major tributary of … The McKenzie River is a major tributary of the Willamette River, itself a major tributary of the Columbia River, and is the primary source of water and power for Eugene, Oregon, a city of 175,000 people. Young (Holocene) High Cascades volcanism defines the headwaters of the Mckenzie River basin, with a significant source at Clear Lake (13,000,000 cubic meters), fed by springs and yearly snowmelt. Upstream of Clear Lake are 3 seasonal lakes, Lost (256,000 cubic meters), Lava (308,000 cubic meters), and Fish (559,000 cubic meters), that fill up during the yearly snowmelt and slowly drain over a period of 1-2 months through Holocene age lava flows. We have established pressure transducers in Lost and Fish lakes, which will ground-truth lake volume time series using LiDAR and high-resolution satellite imagery timeseries. Downstream of Clear Lake are USGS stream gauges which appear to respond to the seasonal lake drainage via variations in base flow. We look at how seasonal lake drainage varies over time as a function of drainage area and snowmelt, as well as the controls these have on Clear Lake’s discharge. The volcanic terrain of the High Cascades creates an unusual hydrologic system in which seasonal lake drainage acts like a massive slug test, which is repeated year after year. This “slug test” could help elucidate the size and resilience of the High Cascades aquifer and the legacy of volcanic landscape construction on surface/subsurface hydrology.struction on surface/subsurface hydrology.)
2024 CSDMS meeting-048 + (The Mississippi River is a major source of … The Mississippi River is a major source of water and sediment to the Gulf of Mexico. Several restoration strategies for the eastern Louisiana coast are linked to the Mississippi River. Anthropogenic factors, e.g., locks, dams, levees, cutoffs, bank-protection, resulted in substantial change in the sediment load of the Mississippi River. In this study, we compiled historical water and sediment data from ~ 1851 through 1929 and constructed approximate historical sediment rating curves. These historical rating curves are compared to the current records at Tarbert Landing, Baton Rouge, and Belle Chasse. Further, we utilized a 2D morphodynamic model to simulate and quantify the deposition footprint of the historical Caernarvon crevasse event that occurred during the Great Mississippi Flood of 1927 at Breton Sound Basin, LA, USA. This comparative analysis highlighted the change in sediment supply over the past century. We also investigated the implications of this change on the land-building potential from engineered diversions. This analysis also underlined the importance of measuring in-situ fine sediment flocculation parameters due to its present uncertainty and impact on inducing deposition of clay.and impact on inducing deposition of clay.)
Annualmeeting:2017 CSDMS meeting-127 + (The Orangeburg Scarp along the U.S. east c … The Orangeburg Scarp along the U.S. east coast is a paleoshoreline that formed during the mid-Pliocene climate optimum (MPCO; 3.3-2.9 Ma), a warm period considered to be an analog for modern climate. At present, the Orangeburg Scarp varies in elevation from ~33 to ~82 m along its ~1000-km length, implying that it has been heterogeneously warped since its formation. Recent studies suggest that some of the variations in the paleoshoreline elevation might be driven by regional sediment loading and unloading. In this study, we use a gravitationally self-consistent sea-level model to quantify the influence of sediment erosion and deposition on sea-level changes since the MPCO along the U.S. east coast. We drive the sea-level model with existing ice models and a new compilation of sediment redistribution, which is inferred from erosion rates in basins draining the Appalachians and deposition rates in the lower portions of these basins and offshore. Preliminary results suggest that sediment redistribution can significantly perturb paleoshoreline elevations along the Orangeburg Scarp, which suggests that accounting for regional erosion and deposition can advance our ability to estimate ice volume during at the MPCO and improve our understanding of the evolution of continental margins.g of the evolution of continental margins.)
Annualmeeting:2017 CSDMS meeting-093 + (The Pacific Northwest is the only region i … The Pacific Northwest is the only region in the conterminous United States with a sizable number of glaciers (328 glaciers totaling ~380 km ). The glaciers of this region have displayed ubiquitous patterns of retreat since the 1980’s mostly in response to warming air temperature. Glacier melt in partially glacierized river basins in the region provides water for downstream anthropogenic systems (e.g., agricultural water supply and hydroelectric power generation) and sensitive ecological systems (e.g., fisheries, upland riparian habitat). While changes in glacier area have been observed and characterized across the region over an extended period of time, the hydrologic consequences of these changes are not fully understood. We applied a state of the art high resolution glacio-hydrological simulation model along with regional gridded historical and projected future meteorological data, distributed observations of glacier mass and area, and observations of river discharge to predict evolving glacio-hydrological processes for the period 1960-2100. We applied this approach to six river basins across the region to characterize the regional response. Using these results, we generalized past and future glacier change across the entire PNW US using a k-means cluster analysis. Our analysis shows that while the rate of glacier recession across the region will increase, the amount of glacier melt and its relative contribution to streamflow displays both positive and negative trends. Among the characteristics that control the direction and magnitude of future trends, elevation dominates and climatic factors play a secondary role. In high elevation river basins enhanced glacier melt will buffer strong declines in seasonal snowmelt contribution to late summer streamflow for some time, before eventually declining. Conversely, in lower elevation basins, reductions in glacier melt will exacerbate negative trends in summer runoff in the near term. trends in summer runoff in the near term.)
2022 CSDMS meeting-074 + (The Peace-Athabasca Delta (PAD) in Alberta … The Peace-Athabasca Delta (PAD) in Alberta, Canada, is one of the largest inland deltas in the world. The hundreds of shallow lakes and distributary channel networks contribute to the incredible biodiversity in this region and also form the primary transportation routes for summer boat travel and ice roads in winter. Over the last few decades, however, there has been rising concern over declining lake levels. While the complex and changing hydrology is the focus of many studies, little is known about how changing geomorphology will impact lake water storage. In this work, I will focus on one shallow PAD lake, Mamawi Lake, which is located near the center of the PAD and forms a key hydrologic connection. A subdelta has been forming in Mamawi Lake since 1982 and, as it continues to grow, may compromise hydrologic connectivity and navigability. To investigate past and future subdelta progradation, I will use Delft3D-FLOW as well as field measurements and satellite remote sensing. To develop a model that acceptably mimics subdelta growth, I will compare observed progradation rates and delta form, as determined from the optical satellite record, with predicted delta growth and planform from Delft3D simulations. By iteratively comparing observed and predicted subdelta characteristics, I can optimize model inputs to create a model that best resembles the historical growth of the Mamawi Lake subdelta. Then, with this optimized model, I will run longer simulations (on the order of 100 years) to estimate potential timelines of lake infilling and loss of navigability.f lake infilling and loss of navigability.)
2025 CSDMS meeting-028 + (The San Gorgonio Pass (SGP) within the sou … The San Gorgonio Pass (SGP) within the southern San Andreas Fault zone is a structurally complex region that plays a crucial role in controlling earthquake rupture propagation, making it a key area for seismic hazard assessment. However, significant knowledge gaps persist regarding fault activity over the past 1–100 ka, particularly along the Mill Creek Fault segment in the San Bernardino Mountains. Traditional methods for estimating slip rates are hindered by the scarcity of datable materials and the challenging terrain of the SGP, necessitating innovative approaches to quantify uplift rates along overlooked fault segments. In this study, we employ thermoluminescence (TL) thermochronology to assess differential uplift by quantifying bedrock erosion rates. While Apatite (U-Th)/He (AHe) dating provides insights into long-term exhumation histories over millions of years and cosmogenic ¹⁰Be dating captures surface erosion rates on millennial timescales, neither fully resolves Quaternary uplift patterns essential for understanding active fault dynamics. TL thermochronology, sensitive to exhumation over 10–100 ka, bridges this crucial temporal gap, offering a novel means to decipher recent fault activity. By comparing erosion rates across multiple faults in the SGP, our results confirm that the Mill Creek Fault remains active and, importantly, reveal the geomorphic response to tectonic forcing within the San Bernardino catchment. We detect knickpoint migration, a hallmark of fluvial adjustment to uplift, and leverage TL thermochronology to estimate its lateral migration velocity. This study serves as a proof of concept, demonstrating TL thermochronology’s unique ability to not only quantify differential uplift but also track the interplay between tectonic uplift and fluvial incision. Our findings highlight the immense potential of this method for investigating active tectonics in other similarly complex fault systems worldwide.similarly complex fault systems worldwide.)