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Presenters-0663 + (Accurate projections of future coastal cha … Accurate projections of future coastal change require a tight integration of coastal geomorphological models with data. For long-term projections, beyond the year 2100 for example, one particular difficulty is that our typical validation timeseries are short (often <30 years) compared to our projection horizon. In this talk I will discuss two model-data integration methods that we have used to circumvent this issue. The first method is to apply generic simple models to many different coastal systems, and do space-for-time substitution. For example, we test the effect of sea-level rise on wetland change by comparing wetland change between rapidly subsiding and rapidly uplifting coasts. The second method also employs simple models but tests them using long timeseries extracted from sediment core data. For example, we test and apply our barrier island models using paleogeographic reconstructions going back ~5000 years. In this case it is key to use simple models to not overdimensionalize the model fitting. For both methods there is an added benefit: we learn something about coastal geomorphology along the way.ng about coastal geomorphology along the way.)
Presenters-0065 + (Accurately characterizing the spatial and … Accurately characterizing the spatial and temporal variability of water and energy fluxes in many hydrologic systems requires an integrated modeling approach that captures the interactions and feedbacks between groundwater, surface water, and land- surface processes. Increasing recognition that these interactions and feedbacks play an important role in system behavior has lead to exciting new developments in coupled surface-subsurface modeling, with coupled surface-subsurface modeling becoming an increasingly useful tool for describing many hydrologic systems. This clinic will provide a brief background on the theory of coupled surface-subsurface modeling techniques and parallel applications, followed by examples and hands-on experience using ParFlow, an open-source, object-oriented, parallel watershed flow model. ParFlow includes fully-integrated overland flow; the ability to simulate complex topography, geology and heterogeneity; and coupled land-surface processes including the land-energy budget, biogeochemistry, and snow processes. ParFlow is multi-platform and runs with a common I/O structure from laptop to supercomputer. ParFlow is the result of a long, multi-institutional development history and is now a collaborative effort between CSM, LLNL, UniBonn, and UC Berkeley. Many different configurations related to common hydrologic problems will be discussed through example problems.c problems will be discussed through example problems.)
Presenters-0676 + (Addressing environmental challenges requir … Addressing environmental challenges requires models that are not only scientifically robust but also accessible to diverse stakeholders, including non-technical users. However, for many, these models remain "black boxes," creating barriers to understanding and trust. These barriers hinder effective collaboration between modellers and decision-makers, ultimately limiting the impact of scientific insights. This webinar introduces an innovative approach to modelling that emphasizes accessibility and understanding through learning-by-doing. We will explore an interactive toolbox (impact-erosion.github.io) built using Jupyter Notebooks, designed to guide users through essential modelling concepts and processes—from basic initial tasks such as data pre-processing to advanced techniques like uncertainty and sensitivity analysis. By integrating interactive elements and visualization, iMPACT-erosion promotes an easier and more fluent user-model conversation, making models approachable for students, professors, researchers, and decision-makers. Beyond showcasing the toolbox, the webinar also empowers attendees to create their own accessible and interactive tools by integrating Jupyter Notebooks, interactive visualizations, and basic Python programming. Participants will learn how to deploy these tools on the cloud at no cost, making them easily shareable and usable by anyone with a web browser. While the webinar focuses on hydrology and soil erosion, the underlying philosophy of interactive, educational and exploratory modelling is highly transferable across disciplines, offering a pathway to democratize modelling in various scientific domains.e modelling in various scientific domains.)
Presenters-0631 + (Addressing society's water and energy chal … Addressing society's water and energy challenges requires sustainable use of the Earth's critical zones and subsurface environment, as well as technological innovations in treatment and other engineered systems. Reactive transport models (RTMs) provide a powerful tool to inform engineering design and provide solutions for these critical challenges. In this keynote, I will showcase the flexibility and value of RTMs using real-world applications that focus on (1) assessing groundwater quality management with respect to nitrate under agricultural managed aquifer recharge, and (2) systematically investigating the physical, chemical and biological conditions that enhance CO2 drawdown rates in agricultural settings using enhanced weathering. The keynote will conclude with a discussion of the possibilities to advance the use of reactive transport models and future research opportunities therein.and future research opportunities therein.)
Presenters-0147 + (Agent-Based Modeling (ABM) or Individual-B … Agent-Based Modeling (ABM) or Individual-Based Modeling is a research method rapidly increasing in popularity -- particularly among social scientists and ecologists interested in using simulation techniques to better understand the emergence of interesting system-wide patterns from simple behaviors and interactions at the individual scale. ABM researchers frequently partner with other scientists on a wide variety of topics related to coupled natural and human systems. Human societies impact (and are impacted by) various earth systems across a wide range of spatial and temporal scales, and ABM is a very useful tool for better understanding the effect of individual and social decision-making on various surface processes. The clinic will focus on introducing the basic toolkit needed to understand and pursue ABM research, and consider how ABM work differs from other computational modeling approaches. The clinic: - Will explore examples of the kinds of research questions and topics suited to ABM methods. - Will (attempt to) define some key concepts relevant to ABM research, such as emergence, social networks, social dilemmas, and complex adaptive systems. - Will provide an introduction to ABM platforms, particularly focused on NetLogo. - Discuss approaches to verification, validation, and scale dependency in the ABM world. - Introduce the Pattern-Oriented Modeling approach to ABM. - Discuss issues with reporting ABM research (ODD specification, model publishing). - Brainstorm tips and tricks for working with social scientists on ABM research.ng with social scientists on ABM research.)
Presenters-0608 + (Agent-Based Models (ABMs) can provide impo … Agent-Based Models (ABMs) can provide important insights into the nonlinear dynamics that emerge from the interactions of individual agents. While ABMs are commonly used in the social and ecological sciences, this rules-based modeling approach has not been widely adopted in the Surface Dynamics Modeling community. In this clinic, I will show how to build mixed models that utilize ABMs for some processes (e.g., forest dynamics and soil production) and numerical solutions to partial differential equations for other processes (e.g., hillside sediment transport). Specifically, I will introduce participants to pyNetLogo, a library that enables coupling between NetLogo ABMs and Python-based Landlab components. While active developers in either the NetLogo or Landlab communities will find this clinic useful, experience in both programming languages is not needed. both programming languages is not needed.)
Presenters-0060 + (Agent-based modeling (ABM) developed as a … Agent-based modeling (ABM) developed as a method to simulate systems that include a number of agents – farmers, households, governments as well as biological organisms – that make decisions and interact according to certain rules. In environmental modeling, ABM is one of the best ways to explicitly account for human behavior, and to quantify cumulative actions of various actors distributed over the spatial landscape. This clinic provides an introduction to ABM and covers such topics as:<ol><li>Modeling heterogeneous agents that vary in attributes and follow different decision-strategies</li><li>Going beyond rational optimization and accommodating bounded rationality</li><li>Designing/representing agents’ interactions and learning.</ol>The clinic provides hands-on examples using the open-source modeling environment NetLogo https://ccl.northwestern.edu/netlogo. While no prior knowledge of NetLogo is required, participants are welcome to explore its super user-friendly tutorial. The clinic concludes with highlighting the current trends in ABM such as its applications in climate change research, participatory modeling and its potential to link with other types of simulations.h, participatory modeling and its potential to link with other types of simulations.)
Presenters-0633 + (Agent-based modeling (ABM) is a powerful s … Agent-based modeling (ABM) is a powerful simulation tool with applications across disciplines. ABM has also emerged as a useful tool for capturing complex processes and interactions within socio-environmental systems. This workshop will offer a brief introduction to ABM for socio-environmental systems modeling including an overview of opportunities and challenges. Participants will be introduced to NetLogo, a popular programming language and modeling environment for ABM. In groups, participants will have the hands-on opportunity to program different decision-making methods in an existing model and observe how outcomes change. We will conclude with an opportunity for participants to raise questions or challenges they are experiencing with their own ABMs and receive feedback from the group. ABMs and receive feedback from the group.)
Presenters-0686 + (Alluvial rivers transform themselves as th … Alluvial rivers transform themselves as the environment changes. Excess sediment input may fill their beds and cause them to steepen. Additional water discharge can cause rivers to incise, widen, and/or reduce their slopes. When rivers flood above their banks, they deposit sediments across their floodplains. Such geomorphic changes produce stabilizing feedbacks: Floodplain deposition heightens the channel banks, decreasing the probability of a follow-up overbank flood. Likewise, channels widen in response to increasing streamflow or narrow through lateral deposition as streamflow wanes. To simulate how these interactions drive river-system change, we build theoretical and numerical approaches to solving coupled river-system dynamics while simultaneously assembling historical and geological data sets for model validation and improvement. The resultant tools can help to teach us the stories that past landscapes are sharing, and to forecast the impacts of intentional and incidental human impacts on rivers into the future.l human impacts on rivers into the future.)
Presenters-0241 + (An abstract was not required for this meeting)
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-0684 + (Ancient Mars maintained an active water cy … Ancient Mars maintained an active water cycle. Low-lying impact craters gathered water from precipitation, thereby forming lakes. When water levels surpassed the crater rim topography, these lakes could breach and trigger floods that released large volumes of high-energy water, sculpting vast canyons that are ubiquitous on Mars. In fact, past work has shown that these floods eroded a quarter of the erosional volumes of the Martian surface. However, the persistence of flow from these lakes after their breaching floods remains uncertain. Here, we use a semi-automated workflow to estimate the flood volumes released for 200 lake systems. We then developed an Earth-based theoretical erosion framework to estimate the amount of water that continued to flow from each lake after the floods occurred, using simple topographic metrics such as channel volume, slope, and length. Results from this work provide new quantitative constraints on the volume and persistence of subsequent water flow after flood events, deepening our understanding of Mars' early climate, hydrology, and past habitability.climate, hydrology, and past habitability.)
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-0672 + (Both too simple and too complex models hav … Both too simple and too complex models have limited payoff in understanding real systems and making reliable inferences. Pattern-oriented modeling (POM) is a strategy to find the right intermediate level of complexity. It is based on the goal of making a model simultaneously reproduce multiple patterns that have been observed at different scales and levels of organization. The patterns are used as multiple criteria for model design, selection, and parameterization. POM was developed for agent-based models, but can be used for any model type. We will introduce POM using examples and conceptual exercises, and participants will conduct an exercise, using a NetLogo model we provide, to test how well alternative versions of a key submodel cause the model to reproduce observed patterns. Participants should bring a computer with NetLogo (version 6.0 or later; http://ccl.northwestern.edu/netlogo) and software for graphical and statistical analysis of results (e.g., Excel, R).ical analysis of results (e.g., Excel, R).)

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-0657 + (Changes in river channel geometry and grai … Changes in river channel geometry and grain size can alter flood hazards and impact habitat, yet our ability to predict how perturbations will manifest as channel change remains incomplete. While flume studies are commonly employed to study the downstream effects of sediment pulses, these physical experiments cannot incorporate pulse material abrasion, a property that field observations suggest may be important in many natural landscapes. I use the Landlab Network Sediment Transporter (NST) to explore multi-grain size sediment transport dynamics at the channel scale. The NST is a morphodynamic model that allows for Lagrangian tracking of collections (‘parcels’) of sediment grains through a river channel, evolving the elevation and grain size distribution of the river bed. In this talk, I will present an exploration of gravel-bedded river morphodynamics using a simple model configuration with two goals: first, to explore migrating channel bedforms and grain patches that emerge from standard sediment transport calculations, and second, to explore the effects of bed material abrasion and sediment density on the downstream evolution of a gravel sediment pulse. With hundreds of ‘parcels’ of sediment per reach of river, uniform channel characteristics, and initial bed sediment recycled to the upstream boundary, I configure the model like a 50 km numerical recirculating flume. Allowing the channel to evolve under constant flow conditions, initially small differences in the grain size distribution of model links differentiate into coarse and fine zones that gradually migrate downstream. This emergent behavior, which mimics downstream migrating bedforms in natural channels and flumes, is controlled in the NST by the sediment transport hiding function. Next, I explore the downstream transport of sediment pulses, incorporating bed material abrasion and variability in sediment density, resembling that found in volcanic mass wasting deposits of the Pacific Northwest. I find that these properties speed the initial downstream propagation of the pulse, but limit its downstream endurance. The NST model provides us an opportunity to explore the complex interactions of heterogeneous sediment in the evolution of gravel river systems. in the evolution of gravel river systems.)
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-0677 + (Continental and global water models have l … Continental and global water models have long been trapped in slow growth and inadequate predictive power, as they are not able to effectively assimilate information from big data. While Artificial Intelligence (AI) models greatly improve performance, purely data-driven approaches do not provide strong enough interpretability and generalization. One promising avenue is “differentiable” modeling that seamlessly connects neural networks with physical modules and trains them together to deliver real-world benefits in operational systems. Differentiable modeling (DM) can efficiently learn from big data to reach state-of-the-art accuracy while preserving interpretability and physical constraints, promising superior generalization ability, predictions of untrained intermediate variables, and the potential for knowledge discovery. Here we demonstrate the practical relevance of a high-resolution, multiscale water model for operational continental-scale and global-scale water resources assessment. (https://bit.ly/3NnqDNB). Not only does it achieve significant improvements in streamflow simulation compared to the established national- and global water models, but it also produces much more reliable depictions of interannual changes in large river streamflow, freshwater inputs to estuaries, and groundwater recharge. As a related topic, we also showcase the value of foundation AI for global environmental change and its benefits for resource management. and its benefits for resource management.)
Presenters-0675 + (Convolutional Neural Networks have driven … Convolutional Neural Networks have driven a revolution in computer vision and "AI" due to their ability to recognize complex spatial patterns. They are also finding more and more use in the geosciences. In this webinar we will go through what a CNN is, how to implement one using the PyTorch library, and some of the ways that we can interpret them to help our science.we can interpret them to help our science.)
Presenters-0669 + (Current software engineering and data mana … Current software engineering and data management practices amongst different research teams impede collaboration in geomorphology. For example, researchers who create software tools often do not document them, so the tools do not port easily to new systems. Often, tools go unmaintained after publication, so other teams that want to use the tool or conduct the same analysis will rewrite the software rather than reuse the existing code. This clinic will demonstrate several advances of the recently-launched sandpiper toolchain initiative that facilitate data reuse and research team collaboration, and reduce research effort duplication. sandpiper is forging a data standard for regularly-gridded three dimensional data (i.e., time and two spatial dimensions), and building a software package for data analysis in Earth surface processes research. In this clinic, we will show the features of the data standard, how to create datasets that are compliant with the standard, and how existing datasets can be “rescued” and made findable and reusable. We will also demonstrate the analysis software package, and how it is being used for research. Importantly, sandpiper is a growing community of users, and we want you to join. Bring your data problems, and help us build solutions that work for the whole community.lutions that work for the whole community.)
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.)