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Presenters-0171 + (This model of the subglacial drainage syst … This model of the subglacial drainage system simulates the pressurised flow of water at the ice-bed interface of glaciers and ice sheets. It includes both distributed and channelized water flow. Notably the model determines the geometry of the channel network as part of the solution. The resulting channel network is similar to subaerial stream networks with channels carving out hydraulic potential "valleys". However, there are some pronounced differences to subaerial drainage, for example that the time for a network to form (and decay) is on the order of weeks to months; or that, channels originating at point sources can lie on ridges of the hydraulic potential. The model employs a novel finite element approach to solve the parabolic equations for the hydraulic potential simultaneously on the 1D channel network and 2D distributed system.channel network and 2D distributed system.)
Presenters-0002 + (This presentation provides an overview of … This presentation provides an overview of two important concepts in natural hazards—social vulnerability and community resilience. Conceptually, vulnerability and resilience are related, but they are not the opposite extensions of one another. Instead they are driven by different questions: 1) what circumstances create the social burdens of risk and how do these affect the distribution of risks and losses (e.g. vulnerability); and 2) what enhances or reduces the ability of communities to prepare for, respond to, recover from, successfully adapt to, or anticipate hazard threats, and how does this vary geographically (resilience). In order to provide the scientific basis for hazard reduction policies and practices, measurement schemes for social vulnerability and community resilience are required. This presentation reviews an existing tool for measuring social vulnerability, the Social Vulnerability Index or SoVI®, which is widely used in the USA in both hazard mitigation planning and disaster recovery. Emerging metrics for monitoring community resilience are also described, beginning with the Baseline Resilience Indicators for Communities (or BRIC) Index. The spatial patterning and temporal variability in the indices as well as the importance of scale are described. Practical examples of how BRIC and SoVI have been used in the USA by emergency managers and hazards (spatial) planning are illustrated.azards (spatial) planning are illustrated.)
Presenters-0493 + (This presentation was part of a mini virtu … This presentation was part of a mini virtual workshop around coupling of Agent Based Models (ABM) and Grid Based Models, and shows how relatively easy it is to couple Grid Based Models with ABMs.Demonstrated notebooks can be found at: https://github.com/gregtucker/abm-landlab-mini-workshopb.com/gregtucker/abm-landlab-mini-workshop)
Presenters-0492 + (This presentation was part of a mini virtu … This presentation was part of a mini virtual workshop around coupling of Agent Based Models (ABM) and Grid Based Models, and shows how relatively easy it is to couple Grid Based Models with ABMs.Demonstrated notebooks can be found at: https://github.com/gregtucker/abm-landlab-mini-workshopb.com/gregtucker/abm-landlab-mini-workshop)
Presenters-0165 + (This presentation will briefly introduce t … This presentation will briefly introduce the formulation, numerics, and parallel implementation of the coastal circulation model ADCIRC, discuss the strategy of coupling with the SWAN wave model, and provide background on recent enhancements of the bottom-friction formulation. Several recent applications of the coupled modeling system will be presented.coupled modeling system will be presented.)
Presenters-0561 + (This tutorial introduces Xarray which is a … This tutorial introduces Xarray which is a Python library that provides (1) data structures for multi-dimensional labeled arrays, (2) a toolkit for scalable data analysis on large, complex datasets using Dask which extends the SciPy ecosystem (e.g. NumPy, Pandas, Scikit-Learn) to larger-than-memory or distributed environments.Attendees should be comfortable with basic Python programming (e.g., data structures, functions, etc.). Some prior exposure to Python data science libraries (e.g., NumPy, Pandas) is helpful. No specific domain knowledge is required to effectively participate in this tutorial. effectively participate in this tutorial.)
Presenters-0452 + (This two-part clinic will introduce deep l … This two-part clinic will introduce deep learning methods for semantic segmentation of high-resolution aerial imagery for the purposes of landuse/cover/form classification. The datasets we will use consist of images of shoreline environments, with a focus on general-purpose classification in terrestrial, fluvial and coastal ecology and geomorphology. Deep neural networks are the current state-of-the-art for discrete classification of remotely sensed imagery from Earth observation platforms. The clinic will guide users through the process of preparing training datasets, training models, and evaluation. A number of different deep convolutional neural network architectures for image feature extraction and pixel-scale classifications will be explored and compared. The clinic will use the keras and tensorflow libraries within the python programming language. This hands-on class will be taught using Google colab through a browser, with the materials hosted on github. Participants will require a working knowledge of python. Some working knowledge of machine learning would be helpful, but we will assume no prior experience with machine/deep learning, neural networks, tensorflow, or keras. Both the concepts and specific software would apply to many similar classification tasks at landscape scales. This clinic is composed of two, 2-hr sessions. You should sign up to both; the first clinic introduces the topic, data, and technology we use to solve the problem, and the second clinic implements these ideas and evaluates the results.'''Clinic materials can be found at:'''* https://mardascience.gitlab.io/deep_learning_landscape_classification* https://colab.research.google.com/drive/1krjeCmKoAng0BWy-4mzHVX-eAqQ9qy22?usp=sharing* https://colab.research.google.com/drive/1_ddXkrZCRne7qJ2RXHV5l3qOnk98KIyp?usp=sharingrch.google.com/drive/1_ddXkrZCRne7qJ2RXHV5l3qOnk98KIyp?usp=sharing)
Presenters-0484 + (This two-part clinic will introduce deep l … This two-part clinic will introduce deep learning methods for semantic segmentation of high-resolution aerial imagery for the purposes of landuse/cover/form classification. The datasets we will use consist of images of shoreline environments, with a focus on general-purpose classification in terrestrial, fluvial and coastal ecology and geomorphology. Deep neural networks are the current state-of-the-art for discrete classification of remotely sensed imagery from Earth observation platforms. The clinic will guide users through the process of preparing training datasets, training models, and evaluation. A number of different deep convolutional neural network architectures for image feature extraction and pixel-scale classifications will be explored and compared. The clinic will use the keras and tensorflow libraries within the python programming language. This hands-on class will be taught using Google colab through a browser, with the materials hosted on github. Participants will require a working knowledge of python. Some working knowledge of machine learning would be helpful, but we will assume no prior experience with machine/deep learning, neural networks, tensorflow, or keras. Both the concepts and specific software would apply to many similar classification tasks at landscape scales. This clinic is composed of two, 2-hr sessions. You should sign up to both; the first clinic introduces the topic, data, and technology we use to solve the problem, and the second clinic implements these ideas and evaluates the results.'''Clinic materials can be found at:'''* https://mardascience.gitlab.io/deep_learning_landscape_classification* https://colab.research.google.com/drive/1krjeCmKoAng0BWy-4mzHVX-eAqQ9qy22?usp=sharing* https://colab.research.google.com/drive/1_ddXkrZCRne7qJ2RXHV5l3qOnk98KIyp?usp=sharingrch.google.com/drive/1_ddXkrZCRne7qJ2RXHV5l3qOnk98KIyp?usp=sharing)
Presenters-0550 + (This webinar presents an overview of Landl … This webinar presents an overview of Landlab 2.0, a Python programming toolkit for rapidly building and exploring numerical models of various Earth-surface processes. We’ll look at how to set up a numerical grid in just a few lines of code, and how to populate your grid with fields of data. We will also take a look at some of Landlab’s numerical functions, input-output utilities, and plotting routines. Finally, we will explore Landlab components: what they are, how to assemble them into integrated numerical models, and how to create new ones. Examples include surface-water hydrology, landscape evolution, tidal-marsh flow, and lithosphere flexure, among others.ow, and lithosphere flexure, among others.)
Presenters-0407 + (This webinar presents an overview of the L … This webinar presents an overview of the Landlab Toolkit: a Python package that makes it much easier to create two-dimensional grid-based models of various earth-surface processes. The webinar will provide a basic overview of Landlab, and illustrate some of its key capabilities in creating grids and working with modular "process components". The webinar will also present some example applications of Landlab for model-building, and provide pointers to tutorials, user guides, and other resources for those who wish to learn more.esources for those who wish to learn more.)
Presenters-0456 + (This webinar will describe the efforts of … This webinar will describe the efforts of our NSF-funded Research Coordination Network '''Building capacity to deepen the critical zone: expanding boundaries and exploring gradients through data-model synergy.''' Our mission is to enhance the diversity of participants and ideas in the critical zone (CZ) community, integrating scientists with broad interests in biology, hydrology, geology, atmospheric science, and computational sciences with the scientific goal of understanding the structure and evolution of the deep CZ through data-model integration across scales, and an equally important outreach goal of increasing diversity and inclusion in the earth sciences. We will hold a series of small conferences, workshops and webinars, focusing on such themes as the co-evolution of the land surface and the CZ “base”, scaling up local observations to global models, the response of the CZ structure to the Anthropocene, and the emerging tools for measuring such processes, among others. This first webinar will give a broad introduction to our RCN and describe opportunities that you can partner with us if you are developing a proposal for the upcoming NSF CZ Collaboration Network call for proposals (NSF 19-586). We hope you consider working with us as part of your Broader Impacts should your theme be scientifically relevant to our mission.theme be scientifically relevant to our mission.)
Presenters-0681 + (This workshop aims to explore the capabili … This workshop aims to explore the capabilities of the Jupyter ecosystem in supporting the entire lifecycle of geospatial research. Participants will gain hands-on experience with core Jupyter tools and workflows for interactive computing, enabling collaborative engagement with geospatial data while prioritizing reproducibility and seamless sharing. A hosted JupyterHub environment will provide the foundation for practical exercises, highlighting modern workflows and demonstrating how research outcomes can be published as websites, books, or academic papers from Jupyter Notebooks and MyST Markdown.A key component of this workshop is sharing and soliciting feedback on developments from GeoJupyter, an early-stage open community initiative designed to enhance research and education workflows for geospatial data users. As much of GeoJupyter’s work is in the prototype phase, this workshop offers a unique opportunity to collaborate with our target audience to shape the ongoing evolution of geospatial interactive computing.ution of geospatial interactive computing.)
Presenters-0641 + (This workshop introduces Swiftscape, a CPU … This workshop introduces Swiftscape, a CPU/GPU-hybrid landscape evolution library with C++ and Python interfaces that can run hundreds of times faster than previous models. Participants will gain hands-on experience in both interfaces, offering flexibility and accessibility for diverse applications. Special focus will be given to the model's ability to run many simulations in parallel as well as its utility for solving inverse problems. its utility for solving inverse problems.)
Presenters-0184 + (This workshop will showcase three differen … This workshop will showcase three different models of carbonate sedimentation, produced under the CSDMS umbrella: carboCat for facies, carboCell for guilds, carboPop for communities. Participants will be able to download and run (on own or provided machines) these models in Python and Matlab environments, discuss how to select appropriate parameters for them using the various databases being developed in concert with the models, and contribute to plans for further development of models and databases.rther development of models and databases.)
Presenters-0167 + (Though it enhances the exchange of porewat … Though it enhances the exchange of porewater and solids with the overlying water, the role that sediment resuspension and redeposition play in biogeochemistry of coastal systems is debated. Numerical models of geochemical processes and diagenesis have traditionally parameterized relatively long timescales, and rarely attempted to include resuspension. Meanwhile, numerical models developed to represent sediment transport have largely ignored geochemistry. Here, we couple the Community Sediment Transport Modeling System (CSTMS) to a biogeochemical model within the Regional Ocean Modeling System (ROMS). The multi-layered sediment bed model accounts for erosion, deposition, and biodiffusion. It has recently been modified to include dissolved porewater constituents, particulate organic matter, and geochemical reactions. For this talk, we explore the role that resuspension and redeposition play in biogeochemical cycles within the seabed and in benthic boundary layer by running idealized, one-dimensional test cases designed to represent a 20-m deep site on the Louisiana Shelf. Results from this are contrasted to calculations from an implementation similar to a standard diagenesis model. Comparing these, the results indicate that resuspension acts to enhance sediment bed oxygen consumption.nsion acts to enhance sediment bed oxygen consumption.)
Presenters-0586 + (To Join: Zoom link: https://ncsu.zoom.us/j/6167058485?pwd=QUo1VUlKTTR4bWxRSEkxcTZ0SXMwZz09 Zoom ID 616-705-8485 passcode: 2021)
Presenters-0530 + (TopoFlow is a plug-and-play, spatial hydro … TopoFlow is a plug-and-play, spatial hydrologic model distributed as an open-source Python package. The current version includes numerous hydrologic process components (all BMI-compliant), an extensive set of utilities for data preparation, river network delineation, visualization and basic calibration, the EMELI model coupling framework, sample data and a set of Jupyter notebooks for learning about the capabilities. The total package consists of around 90,000 lines of efficient code that uses NumPy and runs in Python 3.*. In this clinic, we will first cover some background information, install the package and then work through several Jupyter notebooks to explore the functionality.er notebooks to explore the functionality.)
Presenters-0084 + (TopoFlow is a spatially distributed hydrol … TopoFlow is a spatially distributed hydrologic model that includes meteorology, snow melt, evapotranspiration, infiltration and flow routing components. It can model many different physical processes in a watershed with the goal of accurately predicting how various hydrologic variables will evolve in time in response to climatic forcings. In the past year, CSDMS IF staff integrated TopoFlow into the CSDMS Web Modeling Tool (WMT, https://csdms.colorado.edu/wmt) and developed new lesson plans for use with it. The first part of this clinic focuses on the technical aspects of working with TopoFlow in WMT, including how to: load and couple components, get information on a component, set parameters, upload data files, save a model, and run a model. We’ll discuss features of the TopoFlow implementation in WMT, and explain choices that were made in bringing TopoFlow to the web. In the second part of the clinic, we’ll focus on science and education. We will run several TopoFlow simulations on the CSDMS HPCC through WMT. Participants will explore parameter settings, submit runs, and view netCDF output using NASA’s Panoply tool. The learning outcomes of this clinic are to have better insight into the behavior of TopoFlow components, and the implementation of these in WMT. Participants will learn how to do TopoFlow model runs, and will have access to TopoFlow online labs and teaching resources lesson plans. will have access to TopoFlow online labs and teaching resources lesson plans.)
Presenters-0013 + (Tsunami deposits can imperfectly record th … Tsunami deposits can imperfectly record the hydraulic conditions of devastating extreme events. Sand entrainment, advection and deposition in these events occurs under strongly disequilibrium conditions in which traditional sediment transport models behave poorly. Quantitative models relating sediment characteristics to flow hydraulics hold the potential to improve coastal hazard assessments. However, data from recent natural tsunamis have rarely been accurate enough, over a range of parameter space, to quantitatively test proposed inverse models for predicting flow characteristics. To better understand how to “read” flow depth and velocity from disequilibrium deposits, we conducted controlled and repeatable laboratory flume experiments in which different grain size distributions (GSDs) of sand were entrained, transported and deposited by hydraulic bores. The bores were created by impounding and instantaneously releasing ~6 m^unding and instantaneously releasing ~6 m^)
Presenters-0166 + (Turbulence, bedload, and suspended sedimen … Turbulence, bedload, and suspended sediment transport are directly simulated by a coupled large eddy simulation of the fluid and a distinct element method for every sediment grain. This modeling system directly calculates the motion of all grains by resolved turbulence structures. The model directly calculates modification of the flow and turbulence by the grains, such as the effects of grain momentum extraction and density stratification. Simulations such as these can be used in the future to parameterize sediment transport in large-scale morphodynamic simulations. in large-scale morphodynamic simulations.)
Presenters-0130 + (Understanding and modeling the evolution o … Understanding and modeling the evolution of continental ice sheets such as Antarctica and Greenland can be a difficult task because a lot of the inputs used in transient ice flow models, either inferred from satellite or in-situ observations, carry large measurement errors that will propagate forward and impact projection assessments. Here, we aim at comprehensively quantifying error margins on model diagnostics such as mass outflux at the grounding line, maximum surface velocity and overall ice-sheet volume, applied to major outlet glaciers in Antarctica and Greenland. Our analysis relies on uncertainty quantification methods implemented in the Ice Sheet System Model (ISSM), developed at the Jet Propulsion Laboratory in collaboration with the University of California at Irvine. We focus in particular on sensitivity analysis to try and understand the local influence of specific inputs on model results, and sampling analysis to quantify error margins on model diagnostics. Our results demonstrate the expected influence of measurement errors in surface altimetry, bedrock position and basal frictionmetry, bedrock position and basal friction)
Presenters-0632 + (Understanding and predicting large scale w … Understanding and predicting large scale watershed-ecosystem dynamics requires datasets that empower research at both the local and continental scale. Yet, creating, maintaining and delivering diverse harmonized datasets to researchers and decision-makers is costly and a relatively rare endeavor. In our lab, we have been working on two different projects meant to make it easier for anyone to better understand and predict the hydrobiogeochemical behavior of watersheds, big and small. In Macrosheds, we have harmonized all of the small watershed-ecosystem datasets in the LTER, CZO, USFS, and other programs where there is, at a minimum, data on streamflow and concentration of at least one dissolved constituent (e.g. Nitrate). This dataset provides a critical complement to datasets from larger watersheds like CAMELS and CAMELS-Chem, enabling more focused interrogation of watershed behavior at the scale of small streams. Second, we are actively rebuilding and improving on AquaSat - a dataset built to empower broader use of remote sensing for water quality. This data is focused on large rivers and lakes, visible to LandSat satellites (typically wider than 60 meters). Through both of these projects, we have learned critical lessons about what data end-users actually need, how to make their lives easier, the limits of data portals, and the community required to maintain open source software.required to maintain open source software.)
Presenters-0109 + (Understanding and predicting the response … Understanding and predicting the response of vegetated ecosystems to climate change and quantifying the resulting carbon cycle feedbacks requires a coherent program of field and laboratory experiments, data synthesis and integration, model development and evaluation, characterization of knowledge gaps, and understanding of ecosystem structure and function. The U.S. Department of Energy supports such a program, which produces community data, models, and analysis capabilities aimed at projecting the impacts of environmental change on future atmospheric carbon dioxide levels, predicting changes in extreme events, and assessing impacts on energy production and use. Two computational approaches--one for quantifying representativeness of field sites and one for systematically assessing model performance--will be presented. Resource and logistical constraints limit the frequency and extent of observations, particularly in the harsh environments of the arctic and the tropics, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent variability at desired scales. These regions host large areas of potentially vulnerable ecosystems that are poorly represented in Earth system models (ESMs), motivating two new field campaigns, called Next Generation Ecosystem Experiments (NGEE) for the Arctic and Tropics, funded by the U.S. Department of Energy. We developed a Multivariate Spatio-Temporal Clustering (MSTC) technique to provide a quantitative methodology for stratifying sampling domains, informing site selection, and determining the representativeness of measurement sites and networks. We applied MSTC to model results and data for the State of Alaska to characterize projected changes in ecoregions and to identify field sites for sampling important environmental gradients. As ESMs have become more complex, there is a growing need for comprehensive and multi-faceted evaluation, analysis, and diagnosis of model results. The relevance of model predictions hinges in part on the assessment and reduction of uncertainty in predicted biogeochemical cycles, requiring repeatable, automated analysis methods and new observational and experimental data to constrain model results and inform model development. The goal of the International Land Model Benchmarking (ILAMB) project is to assess and improve the performance of land models by confronting ESMs with best-available observational data sets. An international team of ILAMB participants is developing a suite of agreed-upon model evaluation metrics and associated data at site, regional, and global scales. We are developing Open Source software tools for quantifying the fidelity of model performance, allowing modeling groups to assess confidence in the ability of their models to predict responses and feedbacks to global change. their models to predict responses and feedbacks to global change.)
Presenters-0445 + (Understanding the performance of scientifi … Understanding the performance of scientific applications can be a challenging endeavor given the constant evolution of architectures, programming models, compilers, numerical methods and the applications themselves. Performance integration testing is still not a reality for the majority of high-performance applications because of the complexity, computational cost, and lack of reliable automation. Hence, as part of the DOE SciDAC program, we are working on creating robust performance analysis workflows that capture application-specific performance issues and can be maintained and extended by the application scientists without requiring an external performance “expert”. The consumers of performance data include application developers, performance models, and autotuners. Once appropriate and sufficient performance data is available, our approach to using it to guide optimization is three-fold: (i) we investigate the most effective way to present performance results to the code developers (ii) we automate the selection of numerical methods based on generic performance models (as part of the NSF-funded Lighthouse project) and (iii) we explore the use of different types of performance models in low-level autotuning systems to reduce the size of the parameter search space. While code generation and autotuning are important for achieving performance portability, the majority of code development (including optimization) is still performed by humans. As part of the DOE IDEAS project, we are developing data-based methodologies to try to understand better how human teams work most effectively in developing high-quality, high-performance, enduring scientific software.performance, enduring scientific software.)
Presenters-0037 + (Understanding the processes that shape and … Understanding the processes that shape and reshape the earth's surface is a fundamental challenge in the geosciences. Numerical modeling—the glue between data and theory—is a key component of the effort to meet this challenge. The Community Surface Dynamics Modeling System (CSDMS) was formed to provide support for earth-surface dynamics modeling, and to accelerate the pace of discovery through software development, resource sharing, community coordination, knowledge exchange, and technical training. The CSDMS approach is bottom-up: models, typically developed within the community, are nominated by the community for inclusion within the CSDMS Modeling Framework (CMF). The CMF provides loose, two-way coupling in a Python-based framework that can scale from an individual laptop to a high-performance computing environment. The CMF has a web-based front-end, the Web Modeling Tool (WMT), that's available for use by all community members. The CMF is built on four key software technologies:<ul><li>Basic Model Interface. A Basic Model Interface (BMI), consisting of a common set of functions for initializing, running, and finalizing a model, is added to each model to be incorporated into the CMF.</li><li>Standard Names. Given variables from two models, Standard Names provides a semantic matching mechanism for determining whether—and the degree to which—the variables refer to the same quantity.</li><li>Babel. C, C++, Fortran, Java, and Python language bindings for a BMI-enabled model are generated by Babel.</li><li>Python Modeling Toolkit. The Python Modeling Toolkit (PyMT) is the framework part of the CMF, allowing Babel-wrapped models to be coupled and run in a Python environment. PyMT includes tools for time interpolation, grid mapping, data exchange, and visualization.</li></ul> In this presentation, I'll provide an overview of these core CSDMS software technologies, describing the problems they solve, how they benefit the community, and how they may accelerate scientific productivity. I'll include a Jupyter Notebook demonstration of using PyMT to interactively couple and run a landscape evolution model with a sediment transport model. I'll conclude with a list of issues still to be addressed by CSDMS.ape evolution model with a sediment transport model. I'll conclude with a list of issues still to be addressed by CSDMS.)

Presenters-0027 + (Update of the NSF PRE-EVENTS program)

Presenters-0162 + (Update on what CSDMS has accomplished and what is planned to do in the coming 5years.)
Presenters-0627 + (Urban areas located along the coastline fa … Urban areas located along the coastline face critical choices in the coming decades to respond effectively to climate change, especially with regards to sea level rise (SLR) and intensified ocean storms. These choices include adaptation to let the water in, retreat to avoid new flooded areas, or resilient infrastructure to keep the water out. Nature-based solutions (NBS), which range from restoration of existing ecosystems to infrastructure inspired by natural ecosystems, have the potential to soften the consequences of choosing either hard infrastructure or adaptation. However, in urban environments the lack of available land space may reduce the efficacy of traditional NBS (e.g. living shorelines). Here, we present work to understand and alleviate the problem of NBS efficacy in an urban area with little space to give back to the natural environment. We use coastal hydrodynamic models of the Boston Harbor to show the potential for a range of NBS to protect against storms and SLR with the available area for these kinds of infrastructure projects. We further show how these models can be simplified and used as tools to understand trade-offs between NBS, hard infrastructure, and retreat, which may be as likely to come from an adaptation strategy as from SLR. Finally, we discuss our models of combinations of these solutions, and the current potential for NBS to protect an urban area from climate change.protect an urban area from climate change.)
Presenters-0408 + (Using CSDMS in the Classroom - Learn about … Using CSDMS in the Classroom - Learn about CSDMS software for running a suite of earth surface models through a web-based modeling tool (WMT). This webinar will share improved ways of using this tool in the classroom, gives a quick reminder demo, and points in detail to the resources online.'''Instructor:''' Irina Overeem, CSDMS Deputy Director, University of Colorado, Boulder Director, University of Colorado, Boulder)
Presenters-0441 + (Using the CSDMS tools and resources, we ha … Using the CSDMS tools and resources, we have developed a new model coupling river, floodplain, and coastal processes to explore how interactions between upstream and downstream controls in a fluvio-deltaic system affect river channel processes and large-scale delta morphology. The River Avulsion and Floodplain Evolution Model (RAFEM, written in Python) and Coastline Evolution Model (CEM, written in C) are coupled using the CSDMS Basic Model Interface (BMI) and are available as part of the CSDMS software stack. Using the CSDMS High Performance Computing Cluster and the Dakota toolkit, we have explored how the wave climate (wave heights and offshore approach angles), sea-level rise rate, and the amount of in-channel aggradation required to trigger an avulsion (superelevation) influence avulsion frequency and location, impacting both delta morphology and the resulting stratigraphy. The model is structured modularly to invite further couplings with additional model components in the future.additional model components in the future.)
Presenters-0128 + (Vegetation in river channels and on floodp … Vegetation in river channels and on floodplains alters mean flow conditions, turbulence, sediment transport rates and local sedimentation patterns. Although many advances have been made to predict the impact of vegetation on flow conditions, relatively few studies have investigated how vegetation influences bedload fluxes. We first investigate how known vegetation impacts on flow turbulence can be used to better predict bedload transport and sedimentation within vegetation patches. To elucidate these mechanics we measured 2D velocity fields using PIV and bedload fluxes using high-speed video in simplified flume experiments. We used these laboratory measurements to test and develop bedload transport equations for vegetated conditions. Bedload transport equations did not accurately predict sediment fluxes unless they accounted for the spatial variability in the near-bed Reynolds stress. We then use this patch scale understanding to better predict how vegetation impacts channel morphology. Specifically, we investigate how vegetation influences point bar growth and shape through coupled laboratory experiments and 2D numerical modeling. We measured bedload fluxes, flow conditions and sedimentation rates on a point bar planted with natural vegetation at the Saint Anthony Falls Outdoor Stream Lab. We then calculated the detailed 2D flow field over the point bar throughout imposed flow hydrographs. Our results demonstrate that vegetation caused significant changes in the bar dimensions and depending on the flow level, led to the development of a side channel between the bar and the inner bank of the meander. Such a side channel could precipitate a change in channel morphology to a multi-thread channel. Accurate predictions of sedimentation caused by vegetation patches not only require an estimate of the spatial variation in shear stress (or velocity) within a patch but also how the vegetation alters the adjacent flow field and bedload sediment supply to the patch. and bedload sediment supply to the patch.)
Presenters-0644 + (Vegetation is a critical ecogeomorphic age … Vegetation is a critical ecogeomorphic agent within landscapes and is instrumental to many physical, biochemical, and ecological processes that can vary across spatial and temporal scales (e.g., erosion, sediment deposition, primary productivity, nutrient cycling, etc.). Modeling vegetation dynamics can be challenging, not only because of these scale-dependent variations, but also because of the breadth of existing approaches. The purpose of this clinic is to provide a technical overview for incorporating or developing vegetation models for earth surface dynamics modeling questions. The instructors will introduce vegetation processes commonly modeled, existing types of vegetation models, and how to choose an appropriate level of complexity for your system. Attendees will gain hands-on experience with existing vegetation components within and outside the Landlab system. These models will include the Cellular Automaton Tree Grass Simulator (CATGraSS), a mechanistic, photosynthesis-driven generalized vegetation model as well as how to incorporate vegetation models from Netlogo into Landlab. While active developers in the Landlab community will find this clinic useful, advanced programming experience is not needed.nced programming experience is not needed.)
Presenters-0656 + (Vivian Grom, Louisiana State University &a … Vivian Grom, Louisiana State University & Pedro Silvestre, Queens College CUNY"DEM Data Compared to Synthetic Data in LEMS: Study Case on Teton Fault, Wyoming"Larry Syu-Heng Lai, University of Washington"Fluvial Sedimentary Response to Large Deep-seated Landslide Events"Katrina Cruz Magno, Stanford University & Prati Regmi, North Carolina State University"Simulating Wildfire Ash Transport Following a Precipitation Event by Coupling DORADO and Overland Flow"Sarah Brannum, Louisiana State University"Impact of Vegetation Coastal Resiliency on Aeolian Dunes and Coastal River Deltas"iliency on Aeolian Dunes and Coastal River Deltas")
Presenters-0563 + (Water -- we drink it, we bathe in it, we f … Water -- we drink it, we bathe in it, we feed it to our plants, we gaze admiringly as it falls off cliffs -- but how does it get from the sky to your tap? Will it always be free to chisel windingly through the countryside and leap from dazzling heights?The open-source model mosartwmpy (aka "wimpy") offers researchers a bird's eye view of water movement and reservoir operations across the conterminous United States. Wimpy has been translated into Python from its ancestor MOSART-WM (Model Of Scale Adaptive River Transport and Water Management) without sacrificing performance, leading to a more widely accessible and extensible model. By implementing the Basic Model Interface (BMI), Wimpy provides a familiar workflow with interoperability at the heart.This clinic will introduce mosartwmpy at a high-level and provide a hands-on, interactive tutorial demonstrating its capabilities for studying water shortages. Attendees should leave armed with a stronger understanding of the interplay between water movement and reservoir storage, and with the confidence to utilize mosartwmpy in their own research. utilize mosartwmpy in their own research.)
Presenters-0074 + (Water – too little, too much – will likely … Water – too little, too much – will likely be the biggest future climate challenge for the world. This will be particularly true in vulnerable regions in Africa, where the response of rainfall to increasing greenhouse gas concentrations is a critical socio-economic issue, with implications for water resources, agriculture, and potential conflict. The geological record finds tropical Africa at times hyperarid and at other times covered with large megalakes, with abrupt transitions between these humid and dry states. Climate modeling allows us to explore the processes that combined to produce these past changes. In this talk, I will highlight what has been learned about the glacial-interglacial variations of African hydroclimate from models and data. Together, they provide a perspective on projections of future precipitation changes over tropical Africa.recipitation changes over tropical Africa.)
Presenters-0508 + (Watersheds are complex natural landscape f … Watersheds are complex natural landscape features that contain hillslopes and channel-networks. An entropy-based approach is used to explore the role of channel-network and hillslope towards the contribution to watershed complexity. The structural complexity is evaluated using width-function, which characterizes the spatial arrangement of channels, whereas incremental area-function, capturing the patterns of transport of fluxes, is used to study the functional complexity. Based on several catchments across the United States, our results show that hillslopes add significant complexity to the catchments and suggest the amount of hillslope information needed for accurate predictive modeling of hydrologic processes at the catchment scale.drologic processes at the catchment scale.)
Presenters-0512 + (We examine the distribution of waterbody s … We examine the distribution of waterbody sizes on lowland arctic deltas and explore whether ephemeral wetlands versus perennial lakes have different size distributions. We document that lake areas follow a lognormal distribution, while wetland area follow a power law distribution. We propose a mechanistic model of thermokarst lake growth which is consistent with the observed lognormal distribution, and argue that the power law distribution of wetland area is consistent with an inundated rough landscape, as observed in temperate wetlands. We conclude by examining the implications of these contrasting two processes on projections of future lake area change.on projections of future lake area change.)
Presenters-0510 + (We illustrate results from a Landlab compo … We illustrate results from a Landlab component that uses the framework and geomorphic transport laws developed by Sklar et al. (2017) to model the grain-size distribution resulting from the transformation of rock to soil. The equations model grain-size distribution as a function of weathering and denudation rate. We have implemented these equations to explore controls on sediment grain size in different parts of the Rio Blanco watershed, Puerto Rico. of the Rio Blanco watershed, Puerto Rico.)
Presenters-0100 + (We investigate the feedbacks between surfa … We investigate the feedbacks between surface processes and tectonics in an extensional setting by coupling a 2-D geodynamical model with a landscape evolution law. Focusing on the evolution of a single normal fault, we show that surface processes significantly enhance the amount of horizontal extension a fault can accommodate before being abandoned in favor of a new fault. In simulations with very slow erosion rates, a 15 km- thick brittle layer extends via a succession of crosscutting short-lived faults (heave < 5 km). By contrast, when erosion rates are comparable to the regional extension velocity deformation is accommodated on long-lived faults (heave >10 km). Using simple scaling arguments, we quantify the effect of surface mass removal on the force balance acting on a growing normal fault. This leads us to propose that the major range-bounding normal faults observed in many continental rifts owe their large offsets to erosional and depositional processes.offsets to erosional and depositional processes.)
Presenters-0075 + (We present results from a climate model in … We present results from a climate model integration with a multi-scale ocean component capable of locally enhancing resolution. The model is the NCAR Community Earth System Model (CESM), in which the ocean component contains a high-resolution ROMS nest for either the California Current System or the Benguela Current. In this presentation we will show results from century-long integrations showing that the better representation of coastal upwelling has both regional and global ramifications to the climate system. Using a comparative analysis of the two upwelling systems, we will show that enhancing the climate model representation of boundary currents is not simply a matter of enhanced resolution. Finally, we will use our multi-scale setup to distinguish between the role of atmospheric tele-connections and oceanic advection in propagating the upwelling signal.ction in propagating the upwelling signal.)
Presenters-0132 + (We use numerical modeling to explain how d … We use numerical modeling to explain how deltaic processes and morphology are controlled by properties of the sediment input to the delta apex. We conducted 36 numerical experiments of delta formation varying the following sediment properties: median grain size, grain-size distribution shape, and percent cohesive sediment. As the dominant grain size increases deltas undergo a morphological transition from elongate with few channels to semi-circular with many channels. This transition occurs because the critical shear stress for erosion and the settling velocity of grains in transport set both the number of channel mouths on the delta and the dominant delta-building process. Together, the number of channel mouths and dominant process – channel avulsion, mouth bar growth, or levee growth – set the delta morphology. Coarse-grained, non-cohesive deltas have many channels that are dominated by avulsion, creating semi-circular planforms with relatively smooth delta fronts. Intermediate-grained deltas have many channels that are dominated by mouth bar growth, creating semi-circular planforms with bifurcated channel networks and rugose delta fronts. Fine-grained, cohesive deltas have a few channels, the majority of which are dominated by levee growth, creating elongate planforms with smooth delta fronts. The process-based model presented here provides a previously lacking mechanistic understanding of the effects of sediment properties on delta channel network and planform morphology.a channel network and planform morphology.)
Presenters-0069 + (Welcom)
Presenters-0438 + (What are your colleagues doing to make the … What are your colleagues doing to make their models FAIR - Findable, Accessible, Interoperable, and Reusable? What do publishers and editors expect, and how can you meet those requirements? There are a wide range of practices in use today. Learn what's going on in the CSDMS community and the broader Earth science community for making models and scientific code FAIR. Pre-registration required.fic code FAIR. Pre-registration required.)
Presenters-0170 + (What determines the style of river delta g … What determines the style of river delta growth? How do deltas change after fluvial sediment supply is cut off? River delta evolution is characterized by the progradation and transgression of individual (deltaic) lobes: the delta cycle. We investigate the behaviour of wave-influenced deltas with a simple shoreline model, and quantitatively relate several first-order controls.ively relate several first-order controls.)
Presenters-0591 + (When a tree falls into a river becomes ins … When a tree falls into a river becomes instream large wood and promotes fundamental changes in river hydraulics and morphology, playing a relevant role in river ecology. By interacting with the flow and sediment, the instream large wood (i.e., downed trees, trunks, root wads and branches) contributes to maintaining the river's physical and ecological integrity. However, large quantities of wood can be transported and deposited during floods, enhancing the adverse effects of flooding at critical sections like bridges. Accurate predictions of large wood dynamics in terms of fluxes, depositional patterns, trajectories, and travel distance, still need to be improved, and observations remain scarce. Only recently, numerical models can help to this end.In contrast to other fluvial components such as fluid flow and sediment, for which numerical models have been extensively developed and applied over decades, numerical modelling of wood transport is still in its infancy. In this talk, I will describe the most recent advances and challenges related to the numerical modelling of instream large wood transport in rivers, focusing on the numerical model Iber-Wood. Iber-Wood is a two-dimensional computational fluid dynamics model that couples a Eulerian approach for hydrodynamics and sediment transport to a discrete element (i.e., Lagrangian) approach for wood elements. The model has been widely validated using flume and field observations and applied to several case studies and has been proven to accurately reproduce wood trajectories, patterns of wood deposition, and impacts of wood accumulations during floods.pacts of wood accumulations during floods.)
Presenters-0479 + (Why is object-oriented programming importa … Why is object-oriented programming important? We'll consider this from the perspective of a grad student starting a research project, a postdoc scrambling to publish papers, a researcher starting a collaboration, and a professor leading a group of students and postdocs. (15 min)Where can you find good, reliable information on object-oriented programming? The internet is filled with content from others who have devoted their careers to this topic. We'll show you where we think are the best places to get more information. (5 min)How does object-oriented programming work? We'll give a concrete demonstration of object-oriented programming in Python. Again, others have done this better, but seeing it in action may help you get a jump on using it yourself. (10 min) get a jump on using it yourself. (10 min))
Presenters-0478 + (Why is unit testing important? We'll consi … Why is unit testing important? We'll consider this from the perspective of a grad student starting a research project, a postdoc scrambling to publish papers, a researcher starting a collaboration, and a professor leading a group of students and postdocs. (15 min)Where can you find good, reliable information on unit testing? The internet is filled with content from others who have devoted their careers to this topic. We'll show you where we think are the best places to get more information. (5 min)How does unit testing work? We'll give a concrete demonstration of unit testing in Python with pytest. Again, others have done this better, but seeing it in action may help you get a jump on using it yourself. (10 min) get a jump on using it yourself. (10 min))
Presenters-0477 + (Why is version control important? We'll co … Why is version control important? We'll consider this from the perspective of a grad student starting a research project, a postdoc scrambling to publish papers, a researcher starting a collaboration, and a professor leading a group of students and postdocs. (15 min)Where can you find good, reliable information on version control? The internet is filled with content from others who have devoted their careers to this topic. We'll show you where we think are the best places to get more information. (5 min)How does version control work? We'll give a concrete demonstration of version control using GitHub. Again, others have done this better, but seeing it in action may help you get a jump on using it yourself. (10 min) get a jump on using it yourself. (10 min))
Presenters-0463 + (Within our lifetime, climate change has th … Within our lifetime, climate change has the potential to drastically alter coastal resiliency. Atoll island nations are particularly vulnerable to climate change: from increasing ocean temperatures (causing coral die-off), to ocean acidification (decreasing coral resiliency), to increasing SLR. We must understand what will happen to the atoll islands since the land is where people live. However, we lack a comprehensive understanding about the primary processes driving atoll island evolution under rising sea levels and varying wave climate. This uncertainty in predictions hinders local communities’ preparation for the future; we must understand how atoll islands respond and evolve with changing environmental forcings on a global scale. However, to predict the response of these islands to changing climate, we must understand the feedbacks between physical and ecological processes at different temporal and spatial scales. In addition, we must account for the actions and processes taken by humans driving landscape change on these islands. My lab has focused on investigating the feedbacks inherent in these landscapes using numerical modeling and remote sensing.ing numerical modeling and remote sensing.)
Presenters-0527 + (Within our lifetime, climate change has th … Within our lifetime, climate change has the potential to drastically alter coastal resiliency. Atoll island nations are particularly vulnerable to climate change: from increasing ocean temperatures (causing coral die-off), to ocean acidification (decreasing coral resiliency), to increasing SLR. We must understand what will happen to the atoll islands because they are the inhabited portion of these systems. However, we lack a comprehensive understanding about the primary processes driving atoll island evolution under rising sea levels and varying wave climate. This uncertainty in predictions hinders local communities’ preparation for the future; we must understand how atoll islands respond and evolve with changing environmental forcings on a global scale. To predict the response of these islands to changing climate, we must understand the feedbacks between physical and ecological processes at different temporal and spatial scales. In addition, we must account for the actions and processes taken by humans driving landscape change on these islands. My lab has focused on investigating the feedbacks inherent in these landscapes using numerical modeling and remote sensing.ing numerical modeling and remote sensing.)
Presenters-0119 + (Writing the software to implement a two-di … Writing the software to implement a two-dimensional numerical model can be a daunting exercise, even when the underlying discretization and numerical schemes are relatively simple. The challenge is even greater when the desired model includes ``advanced'' features such as an unstructured grid, a staggered-grid numerical solver, or input/output operations on gridded data. Landlab is a Python-language programming library that makes the process of 2D model-building simpler and more efficient. Landlab's core features include: (1) a gridding engine that lets you create and configure a structured or unstructured grid in just a few lines of code, and to attach data directly to the grid; (2) a library of pre-built process components that saves you from having to re-invent the wheel with common geoscience algorithms (such as flow routing on gridded terrain, linear and nonlinear diffusion, and elastic plate flexure); (3) a mechanism for coupling components together to create integrated model; and (4) a suite of tools for input/output and other common operations. Although Landlab's components are primarily related to earth-surface dynamics (including geomorphology and hydrology), its basic framework is applicable to many types of geophysical system. This clinic provides a hands-on tutorial introduction to Landlab. Participants will learn about Landlab's capabilities, and how to use it to build and run simple 2D models. Familiarity with the Python language and the Numpy library is helpful but not critical.Numpy library is helpful but not critical.)