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Presenters-0097 + (An overview of what the interagency Working Group stands for.)
Presenters-0070 + (An update of what CSDMS has accomplished so far.)
Presenters-0096 + (An update of what CSDMS has accomplished so far.)
Presenters-0042 + (An update on CoMSES.)
Presenters-0189 + (Answers to scientific questions often invo … Answers to scientific questions often involve coupled systems that lie within separate fields of study. An example of this is flexural isostasy and surface mass transport. Erosion, deposition, and moving ice masses change loads on the Earth surface, which induce a flexural isostatic response. These isostatic deflections in turn change topography, which is a large control on surface processes. We couple a landscape evolution model (CHILD) and a flexural isostasy model (Flexure) within the CSDMS framework to understand interactions between these processes. We highlight a few scenarios in which this feedback is crucial for understanding what happens on the surface of the Earth: foredeeps around mountain belts, rivers at the margins of large ice sheets, and the "old age" of decaying mountain ranges. We also show how the response changes from simple analytical solutions for flexural isostasy to numerical solutions that allow us to explore spatial variability in lithospheric strength. This work places the spotlight on the kinds of advances that can be made when members of the broader Earth surface process community design their models to be coupleable, share them, and connect them under the unified framework developed by CSDMS. We encourage Earth surface scientists to unleash their creativity in constructing, sharing, and coupling their models to better learn how these building blocks make up the wonderfully complicated Earth surface system.derfully complicated Earth surface system.)
Presenters-0427 + (Are you confused about the best way to mak … Are you confused about the best way to make your models and data accessible, reusable, and citable by others? In this clinic we will give you tools, information, and some dedicated time to help make your models and data FAIR - findable, accessible, interoperable and reusable. Models in the CSDMS ecosystem are already well on their way to being more FAIR than models that are not. But here, you will learn more about developments, guidelines, and tools from recent gatherings of publishers, repository leaders, and information technology practitioners at recent FAIR Data meetings, and translate this information into steps you can take to make your scientific models and data FAIR.make your scientific models and data FAIR.)
Presenters-0568 + (Are you interested in expanding the reach … Are you interested in expanding the reach of your scientific data or models? One way of increasing the FAIRness of your digital resources (i.e., making them more findable, accessible, interoperable, and reproducible) is by annotating them with metadata about the scientific variables they describe. In this talk, we provide a simple introduction to the Scientific Variables Ontology (SVO) and show how, with only a small number of design patterns, it can be used to neatly unpack the definitions of even quite complex scientific variables and translate them into machine-readable form.translate them into machine-readable form.)
Presenters-0642 + (Are you tired of hearing about the FAIR Pr … Are you tired of hearing about the FAIR Principles? This clinic is for you then, because after you participate you’ll never need to attend another one!*Good science depends on the careful and meticulous management and documentation of our research process. This includes our computational models, the datasets we use, the data transformation, analysis, and visualization scripts and workflows we build to evaluate and assess our models, and the assumptions and design decisions we make while writing our software.Join us for a Carpentries-style interactive clinic with hands-on exercises where we will provide concrete guidance and examples for how to approach, conceptualize, and transform your computational models of earth systems into FAIR contributions to the scientific record whether they are greenfield projects or legacy code with a focus on existing, open infrastructure (GitHub / GitLab / Zenodo). We’ll also cover containerization (Docker, Apptainer) as a way to transparently document system and software dependencies for your models, and how it can be used to support execution on the Open Science Grid Consortium’s Open Science Pool fair-share access compute resources. Big parallel fun! https://osg-htc.org ∗ individual results may vary, this statement is provably falsey, this statement is provably false)
Presenters-0516 + (As agreed at earlier CSDMS forums, the maj … As agreed at earlier CSDMS forums, the major impediment in using AI for modeling the deep-oceanseafloor is a lack of training data, the data which guides the AI - whichever set of algorithms is chosen. This clinic will expose participants to globally-extensive datasets which are available through CSDMS.It will debate the scientific questions of why certain data work well,are appropriate to the processes, and are properly scaled.Participants are encouraged to bring their own AI challenges to the clinic.ing their own AI challenges to the clinic.)
Presenters-0534 + (As global population grows and infrastruct … As global population grows and infrastructure expands, the need to understand and predict processesat and near the Earth’s surface—including water cycling, soil erosion, landsliding, floodhazards, permafrost thaw, and coastal change—becomes increasingly acute. Progress in understandingand predicting these systems requires an ongoing integration of data and numericalmodels. Advances are currently hampered by technical barriers that inhibit finding, accessing,and operating modeling software and related tools and data sets. To address these challenges, we present the CSDMS@HydroShare, a cloud-based platform for accessing and running models, developing model-data workflows, and sharing reproducible results. CSDMS@HydroShare brings together cyberinfrastructure developed by two important community facilities: HydroShare (https://www.hydroshare.org/), which is an online collaboration environment for sharing data, models, and tools, and CSDMS Workbench (https://csdms.colorado.edu/wiki/Workbench), which is the integrated system of software tools, technologies, and standards for building, interfacing, and coupling models. This workshop presents how to use CSDMS@HydroShare to discover, access, and operate the Python Modeling Tool (PyMT). PyMT is one of the tools from the CSDMS Workbench, which allows users to interactively run and couple numerical models contributed by the community. In PyMT, there are already model components for coastal & permafrost modeling, stratigraphic and subsidence modeling, and terrestrial landscape evolution modeling. It also includes data components to access and download hydrologic and soil datasets from remote servers to feed the model components as inputs.This workshop aims to encourage the community to use existing or develop new model or data components under the PyMT modeling framework and share them through CSDMS@HydroShare to support reproducible research. This workshop includes hands-on exercises using tutorial Jupyter Notebooks and provides general steps for how to develop new components.neral steps for how to develop new components.)
Presenters-0056 + (At a global scale, deltas significantly co … At a global scale, deltas significantly concentrate people by providing diverse ecosystem services and benefits for their populations. At the same time, deltas are also recognized as one of the most vulnerable coastal environments, due to a range of adverse drivers operating at multiple scales. These include global climate change and sea-level rise, catchment changes, deltaic-scale subsidence and land cover changes, such as rice to aquaculture. These drivers threaten deltas and their ecosystem services, which often provide livelihoods for the poorest communities in these regions. Responding to these issues presents a development challenge: how to develop deltaic areas in ways that are sustainable, and benefit all residents? In response to this broad question we have developed an integrated framework to analyze ecosystem services in deltas and their linkages to human well-being. The main study area is part of the world’s most populated delta, the Ganges-Brahmaputra-Meghna Delta within Bangladesh. The framework adopts a systemic perspective to represent the principal biophysical and socio-ecological components and their interaction. A range of methods are integrated within a quantitative framework, including biophysical and socio-economic modelling, as well as analysis of governance through scenario development. The approach is iterative, with learning both within the project team and with national policy-making stakeholders. The analysis allows the exploration of biophysical and social outcomes for the delta under different scenarios and policy choices. Some example results will be presented as well as some thoughts on the next steps.s well as some thoughts on the next steps.)
Presenters-0529 + (Bed material abrasion is a key control on … Bed material abrasion is a key control on the partitioning of basin scale sediment fluxes between coarse and fine material. While abrasion is traditionally treated as a simple exponential function of transport distance and a rock-specific abrasion coefficient, experimental studies have demonstrated greater complexity in the abrasion process: the rate of abrasion varies with clast angularity, transport rate, and grain size. Yet, few studies have attempted to assess the importance of these complexities in the field setting. Furthermore, existing approaches generally neglect the heterogeneity in size, abrasion potential, and clast density of the source sediment.Combining detailed field measurements and new modeling approaches, we quantify abrasion in the Suiattle River, a basin in the North Cascades of Washington State dominated by a single coarse sediment source: large, recurrent debris flows from a tributary draining Glacier Peak stratovolcano. Rapid downstream strengthening of river bar sediment and a preferential loss of weak, low-density vesicular volcanic clasts relative to non-vesicular ones suggest that abrasion is extremely effective in this system. The standard exponential model for downstream abrasion fails to reproduce observed downstream patterns in lithology and clast strength in the Suiattle, even when accounting for the heterogeneity of source material strength and the underestimate of abrasion rates by tumbler experiments. Incorporating transport-dependent abrasion into our model largely resolves this failure. These findings hint at the importance of abrasion and sediment heterogeneity in the morphodynamics of sediment pulse transport in river networks. A new modeling tool will allow us to tackle these questions: the NetworkSedimentTransporter, a Landlab component to model Lagrangian bed material transport and channel bed evolution. This tool will allow for future work on the interplay of bed material abrasion and size selective transport at the basin scale.While a simplified approach to characterizing abrasion is tempting, our work demonstrates that sediment heterogeneity and transport-dependent abrasion are important controls on the downstream fate of coarse sediment in fluvial systems.ate of coarse sediment in fluvial systems.)
Presenters-0481 + (Biostabilizing organisms, such as saltmars … Biostabilizing organisms, such as saltmarsh and microphytobenthos, can play a crucial role in shaping the morphology of estuaries and coasts by locally stabilizing the sediment. However, their impact on large-scale morphology, which highly depends on the feedback between spatio-temporal changes in their abundance and physical forcing, remains highly uncertain. We studied the effect of seasonal growth and decay of biostabilizing organisms, in response to field calibrated physical forcings, on estuarine morphology over decadal timescales using a novel eco-morphodynamic model. The code includes temporal saltmarsh an microphytobenthos growth and aging as well as spatially varying vegetation fractions determined by mortality pressures. Growth representations are empirical and literature-based to avoid prior calibration.Novel natural patterns emerged in this model revealing that observed density gradients in vegetation are defined by the life-stages that increase vegetation resilience with age. The model revealed that the formation of seasonal and long term mud layering is governed by a ratio of flow velocity and hydroperiod altered by saltmarsh and microphytobenthos differently, showing that the type of biostabilizer determines the conditions under which mud can settle and be preserved. The results show that eco-engineering effects define emerging saltmarsh patterns from a combination of a positive effect reducing flow velocities and a negative effect enhancing hydroperiod. Consequently, saltmarsh and mud patterns emerge from their bilateral interactions that hence strongly define morphological development.strongly define morphological development.)
Presenters-0447 + (CSDMS 3.0 updates)
Presenters-0409 + (CSDMS Basic Model Interface (BMI) - When e … CSDMS Basic Model Interface (BMI) - When equipped with a Basic Model Interface, a model is given a common set of functions for configuring and running the model (as well as getting and setting its state). Models with BMIs can communicate with each other and be coupled in a modeling framework. The coupling of models from different authors in different disciplines may open new paths to scientific discovery. In this first of a set of webinars on the CSDMS BMI, we'll provide an overview of BMI and the functions that define it. This webinar is appropriate for new users of BMI, although experienced users may also find it useful.'''Instructor:''' Mark Piper, Research Software Engineer, University of Colorado, Boulder'''When:''' November 13th, 12PM Eastern Time'When:''' November 13th, 12PM Eastern Time)
Presenters-0648 + (CSDMS develops and maintains a suite of pr … CSDMS develops and maintains a suite of products and services with the goal of supporting research in the Earth and planetary surface processes community. This includes products such as Landlab, the Basic Model Interface, Data Components, the Model Repository, EKT Labs, and ESPIn. Examples of services include the Help Desk, Office Hours, Roadshows, RSEaaS, and EarthscapeHub. One problem, though, is that if the community doesn't know about these products and services, then they don't get used—and, like the Old Gods in Neil Gaiman's American Gods, they fade into obscurity. Let's break the cycle! Please join us for this webinar where we will present information about all of the products and services offered by CSDMS, and explain how they can help you accelerate your research. Attendees will leave with knowledge of what CSDMS can do for them, which they can bring back to their home institutions and apply to their research and share with their colleagues. arch and share with their colleagues. )
Presenters-0118 + (CSDMS has developed a Web-based Modeling T … CSDMS has developed a Web-based Modeling Tool – the WMT. WMT allows users to select models, to edit model parameters, and run the model on the CSDMS High-Performance Computing System. The web interface makes it straightforward to configure different model components and run a coupled model simulation. Users can monitor progress of simulations and download model output. CSDMS has developed educational labs that use the WMT to teach quantitative concepts in geomorphology, hydrology, coastal evolution. These labs are intended to be used by Teaching assistants and Faculty alike. Descriptions of 4-hr hands-on labs have been developed for HydroTrend, Plume, Sedflux, CHILD, ERODE and ROMS-Lite. These labs include instructions for students to run the models and explore dominant parameters in sets of simulations. Learning objectives are split between topical concepts, on climate change and sediment transport amongst many others, and modeling strategies, modeling philosophy and critical assessment of model results. In this clinic, we will provide an overview of the available models and labs, and their themes and active learning objectives. We will discuss the requirements and logistics of using the WMT in your classroom. We will run some simulations hands-on, and walk through one lab in more detail as a demonstration. Finally, the workshop intends to discuss future developments for undergraduate course use with the participants.e developments for undergraduate course use with the participants.)
Presenters-0057 + (CSDMS has developed a Web-based Modeling T … CSDMS has developed a Web-based Modeling Tool – the WMT. WMT allows users to select models, to edit model parameters, and run the model on the CSDMS High-Performance Computing System. The web tool makes it straightforward to configure different model components and run a coupled model simulation. Users can monitor progress of simulations and download model output. CSDMS has designed educational labs that use the WMT to teach quantitative concepts in geomorphology, hydrology, coastal evolution and coastal sediment transport. These labs are intended for use by Teaching assistants and Faculty alike. Descriptions of 2 to 4-hr hands-on labs have been developed for HydroTrend, Plume, Sedflux, CHILD, TOPOFLOW and ROMS-Lite. These labs include instructions for students to run the models and explore dominant parameters in sets of simulations. Learning objectives are split between topical concepts, on climate change and sediment transport amongst many others, and modeling strategies, modeling philosophy and critical assessment of model results. In this clinic, we will provide an overview of the available models and labs, and their themes and active learning objectives. We will discuss the requirements and logistics of using the WMT in your classroom. We will run some simulations hands-on, and walk through one lab in more detail as a demonstration. Finally, the workshop intends to discuss future developments for earning assessment tools with the participants.e developments for earning assessment tools with the participants.)
Presenters-0089 + (CSDMS has developed the Basic Model Interf … CSDMS has developed the Basic Model Interface (BMI) to simplify the conversion of an existing model in C, C++, Fortran, Java, or Python into a reusable, plug-and-play component. By design, the BMI functions are straightforward to implement. However, in practice, the devil is in the details. In this hands-on clinic, we will take a model -- in this case, an implementation of the two-dimensional heat equation in Python -- and together, we will write the BMI functions to transform it into a component. As we develop, we’ll unit test our component with nose, and we’ll explore how to use the component with a Jupyter Notebook. Optionally, we can set up a GitHub repository to store and to track changes to the code we write. To get the most out of this clinic, come prepared to code! We have a lot to write in the time allotted. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you skim: ⤅ BMI description (https://csdms.colorado.edu/wiki/BMI_Description) ⤅ BMI documentation (http://bmi-forum.readthedocs.io/en/latest) ⤅ BMI GitHub repo(https://github.com/csdms/bmi-live) before participating in the clinic.github.com/csdms/bmi-live) before participating in the clinic.)
Presenters-0431 + (CSDMS’s newly released Python Modeling Too … CSDMS’s newly released Python Modeling Tool (PyMT) is an open source python package that provides convenient tools for coupling of models that use the Basic Model Interface. Historically, earth-surface process models have often been complex and difficult to work with. To help improve this situation and make the discovery process more efficient, the CSDMS Python Modeling Tool (PyMT) provides an environment in which community-built numerical models and tools can be initialized and run directly from a Python command line or Jupyter notebook. To illustrate how PyMT works and the advantages it provides, we will present a demonstration of two coupled models. By simplifying the process of learning, operating, and coupling models, PyMT frees researchers to focus on exploring ideas, testing hypotheses, and comparing models with data.ypotheses, and comparing models with data.)
Presenters-0437 + (CSDMS’s newly released Python Modeling Too … CSDMS’s newly released Python Modeling Tool (PyMT) is an open source Python package that provides convenient tools for coupling models that use the Basic Model Interface. Historically, earth-surface process models have often been complex and difficult to work with. To help improve this situation and make the discovery process more efficient, PyMT provides an environment in which community-built numerical models and tools can be initialized and run directly from a Python command line or a Jupyter Notebook. To illustrate how PyMT works and the advantages it provides, we will present a demonstration of two coupled models. By simplifying the process of learning, operating, and coupling models, PyMT frees researchers to focus on exploring ideas, testing hypotheses, and comparing models with data. Pre-registration required. ''See also: https://pymt.readthedocs.io/en/latest/''t;''See also: https://pymt.readthedocs.io/en/latest/'')
Presenters-0546 + (Changing depth to water table and the asso … Changing depth to water table and the associated stored water volume is a crucial component of the global hydrological cycle, with impacts on climate and sea level. However, long-term changes in global water-table distribution are not well understood. Coupled ground- and surface-water models are key to understanding the hydrologic evolution of post-glacial landscapes, the significance of terrestrial water storage, and the interrelationships between freshwater and climate. Here, I present the Water Table Model (WTM), which is capable of computing changes in water table elevation at large spatial scales and over long temporal scales. The WTM comprises groundwater and dynamic lake components to incorporate lakes into water-table elevation estimates. Sample results on both artificial and real-world topographies demonstrate the two-way coupling between dynamic surface-water and groundwater levels and flow.ace-water and groundwater levels and flow.)
Presenters-0600 + (Cheniers are ridges consisting of coarse-g … Cheniers are ridges consisting of coarse-grained sediments, resting on top of muddy sediment. Along these muddy coastlines, cheniers provide shelter against wave attack, mitigating erosion or even enhancing accretion. As such, cheniers play an important role in the dynamics of the entire coastal landscape. This research focused on cheniers along mangrove-mud coasts. Therefore, chenier dynamics needed to be understood at the temporal and spatial scales of the mangrove vegetation as well. We developed a hybrid modelling approach, combining the strengths of complex process-based modelling (Delft3D), which allowed us to model the mixed-sediment dynamics at small temporal and spatial scales, with the strengths of a highly idealized profile model, providing low computational efforts for larger temporal and spatial scales.ts for larger temporal and spatial scales.)
Presenters-0457 + (Climate and tectonics ultimately drive the … Climate and tectonics ultimately drive the physical and chemical surface processes that evolve landscape structure, including the connectivity of landscape portions that facilitate or impede movement of organismal populations. Connectivity controls population spatial distribution, drives speciation where populations spatially fragment, and increases extinction susceptibility of species where its habitat shrinks. Here I demonstrate the role that landscape evolution models can have in exploring these process linkages in investigations of species diversification driven by climatic and tectonic forcings. The models were built with the tool, SpeciesEvolver that constructs lineages in response to environmental change at geologic, macroevolutionary, and landscape scales. I will also suggest how future studies can use landscape evolution models and tools such as SpeciesEvolver to pursue questions regarding the mechanisms by which lineages respond to the drivers and details of landscape evolution, and taxon-specific and region-specific interactions between biotas and their environments.ons between biotas and their environments.)
Presenters-0544 + (Climate-induced disturbances are expected … Climate-induced disturbances are expected to increase in frequency and intensity and affect coastal wetland ecosystem mainly through altering its hydrology. Investigating how wetland hydrology responds to climate disturbances is an important first step to understand the ecological response of coastal wetlands to these disturbances. In this talk, I am going to introduce my research work on improving the understanding of how the water storage of coastal wetlands at North Carolina, Delaware Bay, and the entire southeast U.S. changes under climatic disturbances. In particular, I will address the uncertainties in estimating water flow through coastal wetlands by considering 1) the regional-scale hydrologic interaction between uplands, coastal wetlands, and the ocean and 2) the impact of coastal eco-geomorphologic change on the freshwater and saltwater interaction on coastal marshlands.ltwater interaction on coastal marshlands.)

Presenters-0173 + (Closing of the meeting)

Presenters-0464 + (Cloud computing is a powerful tool for bot … Cloud computing is a powerful tool for both analyzing large datasets and running models. This clinic will provide an introduction to approaches for accessing and using cloud resources for research in the Geosciences. During the hands-on portion of this clinic, participants will learn how to use Amazon Web Services (AWS) to open a terminal, analyze model output in python, and run a model, time permitting. This workshop assumes no experience with cloud computing.ssumes no experience with cloud computing.)
Presenters-0410 + (Coastal Risk is a flood and natural hazard … Coastal Risk is a flood and natural hazard risk assessment technology company. Our mission is to help individuals, businesses and governments in the US and around the world achieve resilience and sustainability. In the past year, Coastal Risk’s Technology supported nearly $2 billion in US commercial real estate investment and development. Coastal Risk’s unique business model combines high-tech, flood, climate and natural hazards risk assessments and high-value, risk communication reports with personalized, resilience-accelerating advice for individuals, corporations and governments. Our risk modeling and reports help save lives and property in the US. In order to take our system around the world, however, we need higher resolution DEMs. The 30m resolution currently available is a big obstacle to going international. This is something that we would like to get from NASA. Also, we are interested in high-resolution, “before-and-after” satellite imagery of flooded areas to compare with our modeling and to help individuals, businesses and governments understand how to better defend against floods. understand how to better defend against floods.)
Presenters-0545 + (Coastal communities facing shoreline erosi … Coastal communities facing shoreline erosion preserve their beaches both for recreation and for property protection. One approach is nourishment, the placement of externally-sourced sand to increase the beach’s width, forming an ephemeral protrusion that requires periodic re-nourishment. Nourishments add value to beachfront properties, thereby affecting re-nourishment choices for an individual community. However, the shoreline represents an alongshore-connected system, such that morphodynamics in one community are influenced by actions in neighboring communities. Prior research suggests coordinated nourishment decisions between neighbors were economically optimal, though many real-world communities have failed to coordinate, and the geomorphic consequences of which are unknown. Toward understanding this geomorphic-economic relationship, we develop a coupled model representing two neighboring communities and an adjacent non-managed shoreline. Within this framework, we examine scenarios where communities coordinate nourishment choices to maximize their joint net benefit versus scenarios where decision-making is uncoordinated such that communities aim to maximize their independent net benefits. We examine how community-scale property values affect choices produced by each management scheme and the economic importance of coordinating. The geo-economic model produces four behaviors based on nourishment frequency: seaward growth, hold the line, slow retreat, and full retreat. Under current conditions, coordination is strongly beneficial for wealth-asymmetric systems, where less wealthy communities acting alone risk nourishing more than necessary relative to their optimal frequency under coordination. For a future scenario, with increased material costs and background erosion due to sea-level rise, less wealthy communities might be unable to afford nourishing their beach independently and thus lose their beachfront properties.and thus lose their beachfront properties.)
Presenters-0104 + (Coastal environments are complex because o … Coastal environments are complex because of the interplay between aeolian and nearshore processes. Waves, currents, tides, and winds drive significant short term (<weekly) changes to coastal landforms which augment longer term (> annual) geomorphic trends. Great strides have been made in recent years regarding our ability to model coastal geomorphic change in this range of societally relevant time scales. However, a great disparity exists in modeling coastal evolution because subaqueous and subaerial processes are typically assessed completely independent of one another. By neglecting the co-evolution of subtidal and supratidal regions within our current framework, we are precluded from fully capturing non-linear dynamics of these complex systems. This has implications for predicting coastal change during both fair weather and storm conditions, hindering our ability to answer important scientific questions related to coastal vulnerability and beach building. Recognizing these historic limitations, here we present the outline for a coupled subaqueous (XBeach) and subaerial (Coastal Dune Model) morphodynamic modeling system that is in active development with the goal of exploring coastal co-evolution on daily to decadal timescales. Furthermore we present recently collected datasets of beach and dune morphology in the Pacific Northwest US that will be used to validate trends observed within the coupled model platform. validate trends observed within the coupled model platform.)
Presenters-0637 + (Coastal flooding and related hazards have … Coastal flooding and related hazards have increasingly become one of the most impactful events as climate change continues to change the risk due to these events. Measuring the change in the risk of a particular flood level has therefore taken on a greater urgency, as historic measurements and statistics are no longer sufficient to measure the risk to coastal communities. Enabling our ability to compute these changes has become the focus as adaptation strategies due to the changing climate become increasingly critical. This talk will outline some of these challenges and ways we are attempting to address the problem in a multi-hazard aware way.s the problem in a multi-hazard aware way.)
Presenters-0077 + (Coastal morphological evolution is caused … Coastal morphological evolution is caused by a wide range of coupled cross-shore and alongshore sediment transport processes associated with short waves, infragravity waves, and wave-induced currents. However, the fundamental transport mechanisms occur within the thin bottom boundary layer and are dictated by turbulence-sediment interaction and inter-granular interactions. In the past decade, significant progresses have been made in modeling sediment transport using Eulerian-Eulerian or Eulerian-Lagrangian two-phase flow approach. However, most of these models are limited to one-dimensional-vertical (1DV) formulation, which is only applicable to Reynolds-averaged sheet flow condition. Consequently, complex processes such as instabilities of the transport layer, bedform dynamics and turbulence-resolving capability cannot be simulated. The main objective of my research study was to develop a multi-dimensional four-way coupled two-phase model for sediment transport that can be used for Reynolds-averaged modeling for large-scale applications or for turbulence-resolving simulations at small-scale.ence-resolving simulations at small-scale.)
Presenters-0615 + (Coastal systems are an environmental sink … Coastal systems are an environmental sink for a wide range of materials of scientific interest, including sediments, nutrients, plastics, oils, seeds, and wood, to name only a few. Due to differences in material properties such as buoyancy, each of these materials are liable to have characteristic transport pathways which differ from the mean flow and each other, hydraulically “sorting” these materials in space. However, it remains difficult to quantify these differences in transport, due in part to the use of disparate models and approaches for each respective material. In this talk, I will advance a novel modeling framework for simulating the patterns of transport for a wide range of fluvially-transported materials using a single unified reduced-complexity approach, allowing us to compare and quantify differences in transport between materials. Using a hydrodynamic model coupled with the stochastic Lagrangian particle-routing model “dorado,” we are able to simulate at the process-level how local differences in material buoyancy lead to emergent changes in partitioning and nourishment in river deltaic systems. I will show some of the insights we have learned regarding the tendency for materials to be autogenically sorted in space, as well as progress we have made bridging between the process-level framework used in dorado and more physics-based approaches based on transport theory.ased approaches based on transport theory.)
Presenters-0139 + (Computer models help us explore the conseq … Computer models help us explore the consequences of scientific hypotheses at a level of precision and quantification that is impossible for our unaided minds. The process of writing and debugging the necessary code is often time-consuming, however, and this cost can inhibit progress. The code-development barrier can be especially problematic when a field is rapidly unearthing new data and new ideas, as is presently the case in surface dynamics. To help meet the need for rapid, flexible model development, we have written a prototype software framework for two-dimensional numerical modeling of planetary surface processes. The Landlab software can be used to develop new models from scratch, to create models from existing components, or a combination of the two. Landlab provides a gridding module that allows you to create and configure a model grid in just a few lines of code. Grids can be regular or unstructured, and can readily be used to implement staggered-grid numerical solutions to equations for various types of geophysical flow. The gridding module provides built-in functions for common numerical operations, such as calculating gradients and integrating fluxes around the perimeter of cells. Landlab is written in Python, a high-level language that enables rapid code development and takes advantage of a wealth of libraries for scientific computing and graphical output. Landlab also provides a framework for assembling new models from combinations of pre-built components. In this clinic we introduce Landlab and its capabilities. We emphasize in particular its flexibility, and the speed with which new models can be developed under its framework. In particular, we will introduce the many tools available within Landlab that make development of new functionality and new descriptions of physical processes both easy and fast. Participants will finish the clinic with all the knowledge necessary to build, run and visualize 2D models of various types of earth surface systems using Landlab.2D models of various types of earth surface systems using Landlab.)
Presenters-0003 + (D-Claw is an extension of the software pac … D-Claw is an extension of the software package GeoClaw (www.clawpack.org) for simulating flows of granular-fluid mixtures with evolving volume fractions. It was developed primarily for landslides, debris flows and related phenomena by incorporating principles of solid, fluid and soil mechanics. However, because the two-phase model accommodates variable phase concentrations, it can also be used to model fluid problems in the absence of solid content (the model equations reduce to the shallow water equations as the solid phase vanishes). We therefore use D-Claw to seamlessly simulate multifaceted problems that involve the interaction of granular-fluid mixtures and bodies of water. This includes a large number of cascading natural hazards, such as debris-avalanches and lahars that enter rivers and lakes, landslide-generated tsunamis, landslide dams and outburst floods that entrain debris, and debris-laden tsunami inundation. I will describe the basis of D-Claw's model equations and highlight some recent applications, including the 2015 Tyndall Glacier landslide and tsunami, potential lahars on Mt. Rainier that displace dammed reservoirs, and a hypothetical landslide-generated lake outburst flood near Sisters, Oregon. lake outburst flood near Sisters, Oregon.)
Presenters-0432 + (DES3D (Dynamic Earth Solver in Three Dimen … DES3D (Dynamic Earth Solver in Three Dimensions) is a flexible, open-source finite element solver that models momentum balance and heat transfer in elasto-visco-plastic material in the Lagrangian form using unstructured meshes. It provides a modeling platform for long-term tectonics as well as various problems in civil and geotechnical engineering. On top of the OpenMP multi-thread parallelism, DES3D has recently adopted CUDA for GPU computing. The CUDA-enabled version shows speedup of two to three orders of magnitude compared to the single-thread performance, making high-resolution 3D models affordable. This clinic will provide an introduction to DynEarthSol3D’s features and capabilities and hands-on tutorials to help beginners start using the code for simple tectonic scenarios. Impact of the two types of parallelization on performance will be demonstrated as well. performance will be demonstrated as well.)
Presenters-0111 + (Dakota (https://dakota.sandia.gov) is an o … Dakota (https://dakota.sandia.gov) is an open-source software toolkit, designed and developed at Sandia National Laboratories, that provides a library of iterative systems analysis methods, including sensitivity analysis, uncertainty quantification, optimization, and parameter estimation. Dakota can be used to answer questions such as:* What are the important parameters in my model?* How safe, robust, and reliable is my model?* What parameter values best match my observational data?Dakota has been installed on the CSDMS supercomputer, ''beach.colorado.edu'', and is available to all registered users. The full set of Dakota methods can be invoked from the command line on ''beach''; however, this requires detailed knowledge of Dakota, including how to set up a Dakota input file and how to pass parameters and responses between a model and Dakota. To make Dakota more accessible to the CSDMS community, a subset of its functionality has been configured to run through the CSDMS Web Modeling Tool (WMT; https://csdms.colorado.edu/wmt). WMT currently provides access to Dakota's vector, centered, and multidimensional parameter study methods. In this clinic, we'll provide an overview of Dakota, then, through WMT, set up and perform a series of numerical experiments with Dakota on ''beach'', and evaluate the results.Other material can be downloaded from: https://github.com/mdpiper/dakota-tutorial. from: https://github.com/mdpiper/dakota-tutorial. )
Presenters-0068 + (Dakota is a flexible toolkit with algorith … Dakota is a flexible toolkit with algorithms for parameter optimization, uncertainty quantification, parameter estimation, and sensitivity analysis. In this clinic we will work through examples of using Dakota to compare field observations with model output using methods of sensitivity analysis and parameter optimization. We will also examine how the choice of comparison metrics influences results. Methods will be presented in the context of the Landlab Earth-surface dynamics framework but are generalizable to other models. Participants who are not familiar with Landlab are encouraged (but not required) to sign up for the Landlab clinic, which will take place before this clinic. Participants are encouraged to install both Landlab and Dakota on their computers prior to the clinic. Installation instructions for Landlab can be found at: http://landlab.github.io (select "Install" from the menu bar at the top of the page). Installation instructions for Dakota can be found at https://dakota.sandia.gov/content/install-dakota.d at https://dakota.sandia.gov/content/install-dakota.)
Presenters-0021 + (Dakota is a flexible toolkit with algorith … Dakota is a flexible toolkit with algorithms for parameter optimization, uncertainty quantification, parameter estimation, and sensitivity analysis. In this clinic we will cover the basics of the Dakota framework, work through examples of using Dakota to compare field observations with model output using methods of sensitivity analysis and parameter optimization, and briefly cover the theoretical background of the Dakota methods used. If time permits, we will examine how the choice of comparison metrics influences results. Methods will be presented in the context of the Landlab Earth-surface dynamics framework but are generalizable to other models. Participants who are not familiar with Landlab are encouraged (but not required) to sign up for the Landlab clinic, which will take place before this clinic. Participants do not need to install Landlab or Dakota prior to the clinic but will need to sign up for a Hydroshare account. https://www.hydroshare.org/sign-up/. For those students interested in installing Landlab or Dakota: Installation instructions for Landlab can be found at: http://landlab.github.io (select "Install" from the menu bar at the top of the page). Installation instructions for Dakota can be found at https://dakota.sandia.gov/content/install-dakota.d at https://dakota.sandia.gov/content/install-dakota.)
Presenters-0143 + (Dakota is an open-source toolkit with seve … Dakota is an open-source toolkit with several types of algorithms, including sensitivity analysis (SA), uncertainty quantification (UQ), optimization, and parameter calibration. Dakota provides a flexible, extensible interface between computational simulation codes and iterative analysis methods such as UQ and SA methods. Dakota has been designed to run on high-performance computing platforms and handles a variety of parallelism. In this clinic, we will provide an overview of Dakota algorithms, specifically focusing on uncertainty quantification (including various types of sampling, reliability analysis, stochastic expansion, and epistemic methods), sensitivity analysis (including variance-based decomposition methods and design of experiments), and parameter calibration (including nonlinear least squares and Bayesian methods). The tutorial will provide an overview of the methods and discuss how to use them. In addition, we will briefly cover how to interface your simulation code to Dakota. interface your simulation code to Dakota.)
Presenters-0551 + (Data component is a software tool that wra … Data component is a software tool that wraps an API for a data source with a Basic Model Interface (BMI). It is designed to provide a consistent way to access various types of datasets and subsets of them without needing to know the original data API. Each data component can also interact with numerical models that are wrapped in the pymt modeling framework. This webinar will introduce the data component concept with a demonstration of several examples for time series, raster, and multidimensional space-time data.ter, and multidimensional space-time data.)
Presenters-0581 + (Debris flows pose a substantial threat to … Debris flows pose a substantial threat to downstream communities in mountainous regions across the world, and there is a continued need for methods to delineate hazard zones associated with debris-flow inundation. Here we present ProDF, a reduced-complexity debris-flow inundation model. We calibrated and tested ProDF against observed debris-flow inundation from eight study sites across the western United States. While the debris flows at these sites varied in initiation mechanism, volume, and flow characteristics, results show that ProDF is capable of accurately reproducing observed inundation in different settings and geographic areas. ProDF reproduced observed inundation while maintaining computational efficiency, suggesting the model may be applicable in rapid hazard assessment scenarios.able in rapid hazard assessment scenarios.)
Presenters-0537 + (Decision framing is a key, early step in a … Decision framing is a key, early step in any effective decision support engagement in which modelers aim to inform decision and policy making. In this clinic participants will work through and share the results of decision framing exercises for a variety of policy decisions. We will organize the exercise using the XLRM elicitation, commonly used in decision making under deep uncertainty (DMDU) stakeholder engagements. The XLRM framework is useful because it helps organize relevant factors into the components of a decision-centric analysis. The letters X, L, R, and M refer to four categories of factors important to RDM analysis: outcome measures (M) that reflect decision makers’ goals; policy levers (L) that decision makers use to pursue their goals; uncertainties (X) that may affect the connection between policy choices and outcomes; and relationships (R), often instantiated in mathematical simulation models, between uncertainties and levers and outcomes.een uncertainties and levers and outcomes.)
Presenters-0624 + (Deep-learning emulators permit to reduce d … Deep-learning emulators permit to reduce dramatically the computational times for solving physical models. Trained from a state-of-the-art high-order ice flow model, the Instructed Glacier Model (IGM, https://github.com/jouvetg/igm) is an easy-to-use python code based on the Tensorflow library that can simulate the 3D evolution of glaciers several orders of magnitude faster than the instructor model with minor loss of accuracy. Switching to Graphics Processing Unit (GPU) permits additional significant speed-ups, especially when modeling large-scale glacier networks and/or high spatial resolutions. Taking advantage of GPUs, IGM can also track a massive amount of particles moving within the ice flow, opening new perspectives for modeling debris transportation of any size (e.g., erratic boulders). Here I give an overview of IGM, illustrate its potential to simulate paleo and future glacier evolution in the Alps together with particle tracking applications, and do a quick live demo of the model.ns, and do a quick live demo of the model.)
Presenters-0470 + (Delta morphology)
Presenters-0080 + (Deltas are highly sensitive to local human … Deltas are highly sensitive to local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. In this talk, I’ll discuss a recently developed risk framework for estimating the sensitivity of deltas to relative sea level rise, and the expected impact on flood risk. We apply this framework to an integrated set of global environmental, geophysical, and social indicators over 48 major deltas to quantify how delta flood risk due to extreme events is changing over time. Although geophysical and relative sea-level rise derived risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product–enabled infrastructure and coastal defense investments. However, when investments do not address the long-term drivers of land subsidence and relative sea-level rise, overall risk can be very sensitive to changes in protective capability. For instance, we show how in an energy-constrained future scenario, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. This suggests that the current emphasis on short-term solutions on the world’s deltas will greatly constrain options for designing sustainable solutions in the long term.ng sustainable solutions in the long term.)
Presenters-0565 + (Developed barriers are tightly-coupled sys … Developed barriers are tightly-coupled systems driven by feedbacks between natural processes and human decisions to maintain development. Coastal property markets are dynamically linked to the physical environment: large tax revenues and high-value infrastructure necessitate defensive coastal management through beach nourishment, dune development, overwash removal, and construction of hard structures. In turn, changes to environmental characteristics such as proximity to the beach, beach width, and the height of dunes influence coastal property values. In this talk I will use a new exploratory model framework – the CoAStal Community-lAnDscape Evolution (CASCADE) model – to explore the coupled evolution of coastal real estate markets and barrier landscapes. The framework couples two geomorphic models of barrier evolution (Barrier3D and BRIE) with an agent-based real estate model – the Coastal Home Ownership Model (CHOM). CHOM receives information about the coastal environment and acts on that information to cause change to the environment, including decisions about beach nourishment and dune construction and maintenance. Through this coupled model framework, I will show how the effects of dune and beach management strategies employed in the wake of extreme storms cascade through decades to alter the evolution of barriers, inadvertently inhibiting their resilience to sea level rise and storms, and ultimately unraveling coastal real estate markets.ly unraveling coastal real estate markets.)
Presenters-0613 + (Developers of solvers for PDE-based models … Developers of solvers for PDE-based models and other computationally intensive tasks are confronted with myriad complexity, from science requirements to algorithms and data structures to GPU programming models. We will share a fresh approach that has delivered order of magnitude speedups in computational mechanics workloads, minimizing incidental complexity while offering transparency and extensibility. In doing so, we'll examine the PETSc and libCEED libraries, validate performance models, and discuss sustainable architecture for community development. We'll also check out Enzyme, an LLVM-based automatic differentiation tool that can be used with legacy code and multi-language projects to provide adjoint (gradient) capabilities.o provide adjoint (gradient) capabilities.)
Presenters-0618 + (Digital twins are increasingly important i … Digital twins are increasingly important in many domains, including for understanding and managing the natural environment. Digital twins of the natural environment are fueled by the unprecedented amounts of environmental data now available from a variety of sources from remote sensing to potentially dense deployment of earth-based sensors. Because of this, data science techniques inevitably have a crucial role to play in making sense of this complex, highly heterogeneous data. This webinar will reflect on the role of data science in digital twins of the natural environment, with particular attention on how resultant data models can work alongside the rich legacy of process models that exist in this domain. We will seek to unpick the complex two-way relationship between data and process understanding. By focusing on the interactions, we will end up with a template for digital twins that incorporates a rich, highly dynamic learning process with the potential to handle the complexities and emergent behaviors of this important area.emergent behaviors of this important area.)
Presenters-0511 + (Does permafrost impart topographic signatu … Does permafrost impart topographic signatures, and how does subsequent warming affect hillslope and channel form? Permafrost controls the depth to immobile soil, and tundra vegetation influences infiltration and erosion thresholds. I will use high-resolution maps of arctic landscapes to examine morphometric properties like hillslope length, curvature and drainage density as functions of climate and vegetation. I will then compare these data to existing models of climate-modulated sediment flux and channel incision in Landlab, exploring the effect of more nuanced representations of permafrost flux laws and hydrology. I will also compare modeled landscapes forced with Pleistocene-Holocene climate to mid-latitude landscape form.ne climate to mid-latitude landscape form.)
Presenters-0113 + (During a clinic session in the 2013 CSDMS … During a clinic session in the 2013 CSDMS annual meeting, the OpenFOAM®, an open source computational fluid dynamics (CFD) platform, was first introduced by Dr. Xiaofeng Liu (now at Penn State University) for modeling general earth surface dynamics. OpenFOAM® provides various libraries, solvers and toolboxes for solving various fluid physics via finite volume method. The objective of this clinic is to further discuss its recent development and applications to coastal sediment transport. The clinic will start with an overview of a range of coastal applications using OpenFOAM®. We will then focus on a recently released solver, SedFOAM, for modeling sand transport by using an Eulerian two-phase flow methodology. Specifically, we will focus on applying the model to study wave-driven sheet flows and the occurrence of momentary bed failure. The code can be downloaded via CSDMS code repository and participants will receive a hands-on training of the coding style, available numerical schemes in OpenFOAM®, computational domain setup, input/output and model result analysis. Knowledge of C++, object-oriented programming, and parallel computing is not required but will be helpful.uting is not required but will be helpful.)