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- Presenters-0106 + (GeoClaw is an open source Fortran/Python p … GeoClaw is an open source Fortran/Python package based on Clawpack (conservation laws package), which implements high-resolution finite volume methods for solving wave propagation problems with adaptive mesh refinement. GeoClaw was originally developed for tsunami modeling and been validated via benchmarking workshops of the National Tsunami Hazard Mitigation Program for use in hazard assessment studies funded through this program. Current project include developing new tsunami inundation maps for the State of Washington and the development of new probabilistic tsunami hazard assessment (PTHA) methodologies. The GeoClaw code has also been extended to the study of storm surge and forms the basis for D-Claw, a debris flow and landslide code being developed at the USGS and recently used to model the 2014 Oso, Washington landslide, for example.14 Oso, Washington landslide, for example.)
- Presenters-0024 + (Getting usable information out of climate … Getting usable information out of climate and weather models can be a daunting task. The direct output from the models typically has unacceptable biases on local scales, and as a result a large number of methods have been developed to bias correct or downscale the climate model output. This clinic will describe the range of methods available as well as provide background on the pros and cons of different approaches. This will cover a variety of approaches from relatively simple methods that just rescale the original output, to more sophisticated statistical methods that account for broader weather patterns, to high-resolution atmospheric models. We will focus on methods for which output or code are readily available for end users, and discuss the input data required by different methods. We will follow this up with a practical session in which participants will be supplied a test dataset and code with which to perform their own downscaling. Participants interested in applying these methods to their own region of interest are encouraged to contact the instructor ahead of time to determine what inputs would be required.o determine what inputs would be required.)
- Presenters-0459 + (Global models of Earth’s climate have expa … Global models of Earth’s climate have expanded beyond their geophysical heritage to include terrestrial ecosystems, biogeochemical cycles, vegetation dynamics, and anthropogenic uses of the biosphere. Ecological forcings and feedbacks are now recognized as important for climate change simulation, and the models are becoming models of the entire Earth system. This talk introduces Earth system models, how they are used to understand the connections between climate and ecology, and how they provide insight to environmental stewardship for a healthy and sustainable planet. Two prominent examples discussed in the talk are anthropogenic land use and land-cover change and the global carbon cycle. However, there is considerable uncertainty in how to represent ecological processes at the large spatial scale and long temporal scale of Earth system models. Further scientific advances are straining under the ever-growing burden of multidisciplinary breadth, countered by disciplinary chauvinism and the extensive conceptual gap between observationalists developing process knowledge at specific sites and global scale modelers. The theoretical basis for Earth system models, their development and verification, and experimentation with these models requires a new generation of scientists, adept at bridging the disparate fields of science and using a variety of research methodologies including theory, numerical modeling, observations, and data analysis. The science requires a firm grasp of models, their theoretical foundations, their strengths and weaknesses, and how to appropriately use them to test hypotheses of the atmosphere-biosphere system. It requires a reinvention of how we learn about and study nature.on of how we learn about and study nature.)
- Presenters-0466 + (Google Earth Engine is a powerful geograph … Google Earth Engine is a powerful geographic information system (GIS) that brings programmatic access and massively parallel computing to petabytes of publicly-available Earth observation data using Google’s cloud infrastructure. In this live-coding clinic, we’ll introduce some of the foundational concepts of workflows in Earth Engine and lay the groundwork for future self-teaching. Using the JavaScript API, we will practice: raster subsetting, raster reducing in time and space, custom asset (raster and vector) uploads, visualization, mapping functions over collections of rasters or geometries, and basic exporting of derived products., and basic exporting of derived products.)
- Presenters-0628 + (Google Earth Engine(GEE) is a multi-petaby … Google Earth Engine(GEE) is a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Now imagine all you need to work on it is a browser and an internet connection. This hands-on workshop will introduce you to and showcase cloud-native geospatial processing. </br></br>We will explore the platform’s built-in catalog of 100+ petabytes of geospatial datasets and build some analysis workflows. Additional topics will also include uploading & ingesting your own data to Google Earth Engine, time series analysis essential for change monitoring, and data and code principles for effective collaboration. The hope is to introduce to cloud native geospatial analysis platform and to rethink data as we produce and consume more.</br></br>If you want to follow along, bring your laptops, and register for an Earth Engine account here https://signup.earthengine.google.com</br></br>P.S I recommend using a personal account :) you get to keep itusing a personal account :) you get to keep it)
- Presenters-0125 + (Granular materials are ubiquitous in the e … Granular materials are ubiquitous in the environment, in industry and in everyday life and yet are poorly understood. Modelling the behavior of a granular medium is critical to understanding problems ranging from hazardous landslides and avalanches in the Geosciences, to the design of industrial equipment. Typical granular systems contain millions of particles, but the underlying equations governing that collective motion are as yet unknown. The search for a theory of granular matter is a fundamental problems in physics and engineering and of immense practical importance for mitigating the risk of geohazards. Direct simulation of granular systems using the Discrete Element Method is a powerful tool for developing theories and modelling granular systems. I will describe the simulation technique and show its application to a diverse range of flows.s application to a diverse range of flows.)
- Presenters-0518 + (Great mentors engage early career scientis … Great mentors engage early career scientists in research, open doors, speak the ‘unspoken rules’, and inspire the next generation. Yet many of us step into mentoring roles without feeling fully confident in the role, or uncertain how to create an inclusive environment that allows early career scientists from varied backgrounds to thrive. In this interactive workshop, we will share experiences and explore tools that can help build successful mentoring relationships, create supportive cohorts, and feel confident in becoming a great mentor.feel confident in becoming a great mentor.)
- Presenters-0674 + (Have you ever needed to use a software pac … Have you ever needed to use a software package and it won't build on your machine? Have you ever needed to distribute a set of software packages but your collaborators are grumbling that installing all of them is too much of a pain? These are common problems and there are tools that can help to take the pain away. Docker allows you to (1) prepare operating system images with software pre-installed on them, (2) run code inside these containerized OSes independent of the host machine, and (3) share these images online. Additionally, there are ready-made Docker images available for many popular software packages. In this webinar, I'll show how to use ready-made Docker images, how to make your own images, and how this tool can solve some of the more annoying problems that we encounter in scientific software development. If, like me, you viscerally hate learning to use new software tools, I get it, but I swear this one will get you out of a horrible jam some time.l get you out of a horrible jam some time.)
- Presenters-0558 + (Hazard assessment for post-wildfire debris … Hazard assessment for post-wildfire debris flows, which are common in the steep terrain of the western United States, has focused on the susceptibility of upstream basins to generate debris flows. However, reducing public exposure to this hazard also requires an assessment of hazards in downstream areas that might be inundated during debris flow runout. Debris flow runout models are widely available, but their application to hazard assessment for post-wildfire debris flows has not been extensively tested. I will discuss a study in which we apply three candidate debris flow runout models in the context of the 9 January 2018 Montecito event. We evaluate the relative importance of flow volume and flow material properties in successfully simulating the event. Additionally, I will describe an in-progress user needs assessment designed to understand how professional decision makers (e.g., county emergency managers, floodplain manager, and Burned Area Emergency Response team members) might use post-fire debris flow inundation hazard assessment information.</br></br>https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JF006245</br></br>Katy Barnhart is a Research Civil Engineer at the U.S. Geological Survey’s Geologic Hazards Science Center. She received her B.S.E. (2008) in Civil and Environmental Engineering from Princeton University and her M.S. (2010) and Ph.D. (2015) in Geological Sciences from the University of Colorado at Boulder. Her research uses numerical modeling to understand past and forecast future geomorphic change on a variety of timescales.morphic change on a variety of timescales.)
- Presenters-0571 + (Here we present direct numerical simulatio … Here we present direct numerical simulation for the hysteresis of the Antarctic ice sheet and use linear response theory to use these kind of simulations to project Antarctica's sea level contribution to the end of the century.</br></br> </br>Related publications:</br>* A. Levermann et al. 2020. Projecting Antarctica's contribution to future sea level rise from basal ice-shelf melt using linear response functions of 16 ice sheet models (LARMIP-2). Earth System Dynamics 11 (2020) 35-76, doi 10.5194/esd-11-35-2020. </br>* J. Garbe, T. Albrecht, A. Levermann, J.F. Donges, R. Winkelmann, 2020. The Hysteresis of the Antarctic Ice Sheet. Nature 585 (2020), 538-544, doi: 10.1038/s41586-020-2727-5., 538-544, doi: 10.1038/s41586-020-2727-5.)
- Presenters-0636 + (HexWatershed is a hydrologic flow directio … HexWatershed is a hydrologic flow direction model that supports structured and unstructured meshes. It uses state-of-the-art topological relationship-based stream burning and depression-filling techniques to produce high-quality flow-routing datasets across scales. HexWatershed has substantially improved over the past two years, including support for the DGGRID discrete global grid system (DGGS). </br></br>This presentation will provide an overview of HexWatershed, highlighting its capabilities, new features, and improvements. Through hands-on tutorials and demonstrations, attendees will gain insights into the underlying philosophy of the HexWatershed model, and how to use HexWatershed products to run large-scale hydrologic models in watersheds worldwide. Specifically, this tutorial will cover major components in the HexWatershed ecosystem, including the computational mesh generation process, river network representation, and flow direction modeling.</br>We will provide participants with resources to extend the tutorial problems and gain additional familiarity with the tools and workflows introduced. </br></br>Attendees are encouraged to bring their laptops with internet access and a functional web browser. Tutorials will involve scripting operations in the Python language, such as Jupyter Notebook. We will use the Conda utility to install dependency libraries and Visual Studio Code to run the notebooks.d Visual Studio Code to run the notebooks.)
- Presenters-0460 + (High-resolution topographic (HRT) data is … High-resolution topographic (HRT) data is becoming more easily accessible and prevalent, and is rapidly advancing our understanding of myriad surface and ecological processes. Landscape connectivity is the framework that describes the routing of fluids, sediments, and solutes across a landscape and is a primary control on geomorphology and ecology. Connectivity is not a static parameter, but rather a continuum that dynamically evolves on a range of temporal and spatial scales, and the observation of which is highly dependent on the available methodology. In this clinic we showcase the utility of HRT for the observation and characterization of landscapes and compare results with those of coarser spatial resolution data-sets. We highlight the potential for integrating HRT observations and parameters such as vegetation density, surface relief, and local slope variability with numerical surface process models. Participants will gain an understanding of the basics of HRT, data availability and basic analysis, and the use of HRT parameters in modeling.and the use of HRT parameters in modeling.)
- Presenters-0014 + (How can we increase the diversity, richnes … How can we increase the diversity, richness and value of Spatial Data Infrastructure (SDI) to the Disasters and Natural Hazards community stakeholders? We’ll look at some of the current (and past) Open Geospatial Consortium initiatives to examine exciting work to enable sharing of complex data and models within the community using open standards.within the community using open standards.)
- Presenters-0051 + (Human settlements in dynamic environmental … Human settlements in dynamic environmental settings face the challenges both of managing their own impact on their surroundings and also adapting to change, which may be driven by a combination of local and remote factors, each of which may involve both human and natural forcings. Impacts of and responses to environmental change play out at multiple scales which involve complex nonlinear interactions between individual actors. These interactions can produce emergent results where the outcome at the community scale is not easily predicted from the decisions taken by individuals within the community. Agent-based simulations can be useful tools to explore the dynamics of both the human response to environmental change and the environmental impacts of human activity. Even very simple models can be useful in uncovering potential for unintended consequences of policy actions. Participatory simulations that allow people to interact with a system that includes simulated agents can be useful tools for teaching and communicating about such unintended consequences. I will report on progress on agent-based simulations of environmentally stressed communities in Bangladesh and Sri Lanka and preliminary results of using a participatory coupled model of river flooding and agent-based real estate markets to teach about unintended consequences of building flood barriers.d consequences of building flood barriers.)
- Presenters-0105 + (Humans alter natural geomorphic systems by … Humans alter natural geomorphic systems by modifying terrain morphology and through on-going actions that change patterns of sediment erosion, transport, and deposition. Long-term interactions between humans and the environment can be examined using numerical modeling. Human modifications of the landscape such as land cover change and agricultural tillage have been implemented within some landscape evolution models, yet little effort has been made to incorporate agricultural terraces. Terraces of various forms have been constructed for millennia in the Mediterranean, Southeast Asia, and South America; in those regions some terraces have undergone cycles of use, abandonment, and reuse. Current implementations of terraces in existing models are as static objects that uniformly impact landscape evolution, yet empirical studies have shown that terrace impact depends upon whether they are maintained or abandoned. We previously tested a simple terrace model that included a single terrace wall on a synthetic hillside with 20% slope for the impacts of maintenance and abandonment. In this research we modify the terrace model to include a wider variety of terrace forms and couple it with a landscape evolution model to test the extent terraced terrain morphology is related to terrace form. We also test how landscape evolution, after abandonment of terraced fields, differs based on length of time the terraces were maintained. We argue that construction and maintenance of terraces has a significant impact on the spatial patterning of sediment erosion and deposition and thus landscape evolution modeling of terraced terrain requires coupling with a dynamic model of terrace use.pling with a dynamic model of terrace use.)
- Presenters-0496 + (Hurricanes can greatly modify the sediment … Hurricanes can greatly modify the sedimentary record, but our coastal scientific modeling community has rather limited capability to predict such process. A three-dimensional sediment transport model was developed in the Regional Ocean Modeling System (ROMS) to study seabed erosion and deposition on the Louisiana shelf in response to Hurricanes Katrina and Rita in the year 2005. Conditions to either side of Hurricane Rita‚ storm track differed substantially, with the region to the east having stronger winds, taller waves and thus deeper erosions. This study indicated that major hurricanes can disturb the shelf at centimeter to meter levels on seabed.f at centimeter to meter levels on seabed.)
- Presenters-0414 + (Hydrology is a science of extremes; drough … Hydrology is a science of extremes; droughts and floods. In either case, the hydrologic response arises from the combination of many factors, such as terrain, land cover, land use, infrastructure, etc. Each has different, overlapping spatial domains. Superimposed upon these are temporal variations, driven by stochastic weather events that follow seasonal climatic regimes. To calculate risk (expected loss) requires a loss function (damage) and a response domain (flood depths) over which that loss is integrated. The watershed provides the spatial domain that collects all these factors. This talk will discuss the data used to characterize hydrologic response. used to characterize hydrologic response.)
- Presenters-0576 + (I will discuss an application of the Migra … I will discuss an application of the Migration, Intensification, and Diversification as Adaptive Strategies (MIDAS) agent-based modeling framework to modeling labor migration across Bangladesh under the stressor of sea-level rise (SLR). With this example, I hope to highlight some hard-to-resolve challenges in representing adaptive decision-making under as-yet unexperienced stressors in models. Drawing together what is more and what is less known in projections for future adaptation, I will discuss strategies for ‘responsible’ presentation and dissemination of model findings.ation and dissemination of model findings.)
- Presenters-0049 + (If one system comes to (my) mind where the … If one system comes to (my) mind where the human element is intertwined with the environment, it is the Louisiana coastal area in the Southern United States. Often referred to as the working coast, coastal Louisiana supports large industries with its ports, navigation channels, oil, and productive fisheries. In addition to that, Louisianians have a significant cultural connection to the coastal wetlands and their natural resources. Unfortunately, the land is disappearing into the sea with coastal erosion rates higher than anywhere else in the US. Due to these high rates of land loss, this system needs rigorous protection and restoration. While the restoration plans are mostly focused on building land, the effects on, for example, fisheries of proposed strategies should be estimated as well before decisions can be made on how to move forward. Through several projects I have been involved in, from small modeling projects to bold coastal design programs, I present how coupled models play a key role in science-based coastal management that considers the natural processes as well as the human element.al processes as well as the human element.)
- Presenters-0588 + (In dry regions, escarpments are key landfo … In dry regions, escarpments are key landforms for exploring landform-rainfall interactions. Here we present a modeling approach for arid cliffs and sub-cliff slopes evolution incorporating rainfall forcing at the scale of individual rainstorms. We used numerical experiments to mechanistically test how arid cliffs and sub-cliff slopes evolve according to different geomorphic characteristics and variations in rainstorm properties.cs and variations in rainstorm properties.)
- Presenters-0127 + (In formulating tectono-geomorphic models o … In formulating tectono-geomorphic models of landscape evolution, Earth is typically divided into two domains; the surface domain in which “geomorphic” processes are solved for and a tectonic domain of earth deformation driven generally by differential plate movements. Here we present a single mechanical framework, Failure Earth Response Model (FERM), that unifies the physical description of dynamics within and between the two domains. FERM is constructed on the two, basic assumptions about the three-dimensional stress state and rheological memory: I) Material displacement, whether tectonic or geomorphic in origin, at or below Earth’s surface, is driven by local forces overcoming local resistance, and II) Large displacements, whether tectonic or geomorphic in origin, irreversibly alter Earth material properties enhancing a long term strain memory mapped into the topography. In addition to the gathering of stresses arising from far field tectonic processes, topographic relief, and the inertial surface processes into a single stress state for every point, the FERM formulation allows explicit consideration of the contributions to the evolving landscape of pore pressure fluctuations, seismic accelerations, and fault damage. Incorporation of these in the FERM model significantly influences the tempo of landscape evolution and leads to highly heterogeneous and anisotropic stress and strength patterns, largely predictable from knowledge of mantle kinematics. The resulting unified description permits exploration of surface-tectonic interactions from outcrop to orogen scales and allows elucidation of the high fidelity orogenic strain and climate memory contained in topography.nd climate memory contained in topography.)
- Presenters-0082 + (In landscape evolution models, climate cha … In landscape evolution models, climate change is often assumed to be synonymous with changes in rainfall. In many climate changes, however, the dominant driver of landscape evolution is changes in vegetation cover. In this talk I review case studies that attempt to quantify the impact of vegetation changes on landscape evolution, including examples from hillslope/colluvial, fluvial, and aolian environments, spatial scales of ~10 m to whole continents, and time scales from decadal to millennial. Particular attention is paid to how to parameterize models using paleoclimatic and remote sensing data.ing paleoclimatic and remote sensing data.)
- Presenters-0658 + (In response to the CSDMS community’s inter … In response to the CSDMS community’s interest, the Human Dimensions group is excited to host a virtual Coffee Hour on community engagement in earth systems science and policy projects. Please join us for our first Coffee Hour, which will include an engaging panel on the topic: “Engaging diverse stakeholders in earth-systems modeling projects.” We recognize the importance of working collaboratively with stakeholders in scientific projects (e.g., for knowledge co-creation, for guidance, and for implementation of solutions derived from the research), but we are not traditionally trained to do so. Rigorous scientific practices can sometimes be alienating and extractive, eroding the trust between the scientific community and the public that is necessary for the advancement of science, policy, and human wellbeing. We discuss here the challenges involved in community engagement and possible ways to overcome them. </br></br>Our panelists are Leilah Lyons, NSF, Laura Schmitt Olabisi, Michigan State University and Mehana Vaughan, University of Hawaii. The Coffee Hour will begin with a short introduction by each panelist, followed by a set of questions by the facilitators, and concluding with a period of open questions and discussion with the audience.uestions and discussion with the audience.)
- Presenters-0420 + (In software engineering, an interface is a … In software engineering, an interface is a group of functions with prescribed names, argument types, and return types. When a developer implements an interface for a piece of software, they fill out the details for each function while keeping the signatures intact. CSDMS has developed the Basic Model Interface (BMI) for facilitating the conversion of a model written in C, C++, Fortran, Python, or Java into a reusable, plug-and-play component. By design, BMI functions are simple. However, when trying to implement them, the devil is often in the details.</br></br>In this hands-on clinic, we'll take a simple model of the two-dimensional heat equation, written in Python, and together we'll write the BMI functions to wrap it, preparing it for transformation into a component. As we develop, we’ll explore how to use the wrapped model with a Jupyter Notebook.</br></br>To get the most out of this clinic, come prepared to code! We'll have a lot to write in the time allotted for the clinic. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you review the</br>* BMI description (http://csdms.colorado.edu/wiki/BMI_Description), and the</br>* BMI documentation (https://bmi-spec.readthedocs.io)</br>before the start of the clinic.hedocs.io) before the start of the clinic.)
- Presenters-0019 + (In software engineering, an interface is a … In software engineering, an interface is a set of functions with prescribed names, argument types, and return types. When a developer implements an interface for a piece of software, they fill out the details for each function while keeping the signatures intact. CSDMS has developed the Basic Model Interface (BMI) for facilitating the conversion of an existing model written in C, C++, Fortran, Python or Java into a reusable, plug-and-play component. By design, BMI functions are straightforward to implement. However, when trying to match BMI functions to model behaviors, the devil is often in the details.<br>In this hands-on clinic, we'll take a simple model--an implementation of the two-dimensional heat equation in Python--and together, we'll write the BMI functions to wrap it, preparing it for transformation into a component. As we develop, we’ll explore how to use the wrapped model with a Jupyter Notebook.<br>To get the most out of this clinic, come prepared to code! We'll have a lot to write in the time allotted for the clinic. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you read over:<br>BMI description (https://csdms.colorado.edu/wiki/BMI_Description)<br>BMI documentation (http://bmi-python.readthedocs.io)<br>before participating in the clinic./bmi-python.readthedocs.io)<br>before participating in the clinic.)
- Presenters-0168 + (In the modeler community, hindcasting (a w … In the modeler community, hindcasting (a way to test models based on knowledge of past events) is required for all computer models before providing reliable results to users. CSDMS 2.0 “Moving forward” has proposed to incorporate benchmarking data into its modeling framework. Data collection in natural systems has been significantly advanced, but is still behind the resolution in time and space and includes natural variability beyond our understanding, which makes thorough testing of computer models difficult.<br><br>In the experimentalist community, research in Earth-surface processes and subsurface stratal development is in a data-rich era with rapid expansion of high-resolution, digitally based data sets that were not available even a few years ago. Millions of dollars has been spent to build and renovate flume laboratories. Advanced technologies and methodologies in experiment allow more number of sophisticated experiments in large scales at fine details. Joint effort between modelers and experimentalists is a natural step toward a great synergy between both communities.<br><br>Time for a coherent effort for building a strong global research network for these two communities is now. First, the both communities should initiate an effort to figure out a best practice, metadata for standardized data collection. Sediment experimentalists are an example community in the “long tail”, meaning that their data are often collected in one-of-a-kind experimental set-ups and isolated from other experiments. Second, there should be a centralized knowledge base (web-based repository for data and technology) easily accessible to modelers and experimentalists. Experimentalists also have a lot of “dark data,” data that are difficult or impossible to access through the Internet. This effort will result in tremendous opportunities for productive collaborations.<br><br>The new experimentalist and modeler network will be able to achieve the CSDMS current goal by providing high quality benchmark datasets that are well documented and easily accessible.igh quality benchmark datasets that are well documented and easily accessible.)
- Presenters-0604 + (In this clinic I will give an overview of … In this clinic I will give an overview of lsdtopotools so that, by the end of the session, you will be able to run and visualise topographic analyses using lsdtopotools and lsdviztools. I will show how to start an lsdtopotools session in google colab in under 4 minutes, and will also give a brief overview for more advanced users of how to use our docker container if you want access to local files. I will then use jupyter notebooks to give example analyses including simple data fetching and hillshading, basin selection, simple topographic metrics and channel extraction. Depending on the audience I will show examples of a) channel steepness analysis for applications in tectonic geomorphology b) calculation of inferred erosion rates based on detrital CRN concentrations c) terrace and valley extraction d) channel-hillslope coupling. In addition I will show our simple visualisation scripts that allow you to generate publication-ready images. All you need prior to the session is a google account that allows you to access colab, and an opentopography account so you can obtain an API key. The latter is not required but will make the session more fun as you can use data from anywhere rather than example datasets. If you are not an advanced user please do not read the next sentence, as you don’t need it and it is nerdy compu-jargon that will put you off the session. If you are an advanced user and wish to try the docker container you should install the docker client for your operating system and use the command “docker pull lsdtopotools/lsdtt_pytools_docker” when you have access to a fast internet connection.have access to a fast internet connection.)
- Presenters-0023 + (In this clinic we will explore how to use … In this clinic we will explore how to use the new cloud-based remote sensing platform from Google. Our hands-on clinic will teach you the basics of loading and visualizing data in Earth Engine, sorting through data, and creating different types of composite images. These techniques are a good starting point for more detailed investigations that monitor changes on earth’s surface. Prerequisites:<br>1) Bring your own laptop.<br>2) Chrome installed on your system: It will work with Firefox but has issues.<br>3) An active Google account - Register for an account with Google Earth Engine (https://earthengine.google.com/signup/)Google Earth Engine (https://earthengine.google.com/signup/))
- Presenters-0531 + (In this clinic we will explore how to use … In this clinic we will explore how to use the cloud-based remote sensing platform from Google. Our hands-on clinic will teach you the basics of loading and visualizing data in Earth Engine, sorting through data, and creating different types of composite images. These techniques are a good starting point for more detailed investigations that monitor changes on earth’s surface. Prerequisites include having Chrome installed on your system: It will work with Firefox but has issues and an active Google account. Once you have those please register for an account with Google Earth Engine (https://earthengine.google.com/signup/)e (https://earthengine.google.com/signup/))
- Presenters-0626 + (In this clinic we will first review concep … In this clinic we will first review concepts of glacial isostatic adjustment and the algorithm that is used to solve the sea level equation. We will then provide an overview of the sea level code, which calculates the viscoelastic response of the solid Earth, Earth’s gravity field, and rotation axis to changes in surface load while conserving water between ice sheets and oceans. Participants will run the code, explore manipulating the input ice changes, and investigate its effect on the predicted changes in sea level, solid Earth deformation, and gravity field.olid Earth deformation, and gravity field.)
- Presenters-0533 + (In this clinic, we will explore RivGraph, … In this clinic, we will explore RivGraph, a Python package for extracting and analyzing fluvial channel networks from binary masks. We will first look at some background and motivation for RivGraph's development, including some examples demonstrating how RivGraph provides the required information for building models, developing new metrics, analyzing model outputs, and testing hypotheses about river network structure. We will then cover--at a high level--some of the logic behind RivGraph's functions. The final portion of this clinic will be spent working through examples showing how to process a delta and a braided river with RivGraph and visualizing results.</br></br></br>Please note: This clinic is designed to be accessible to novice Python users, but those with no Python experience may also find value. If you'd like to work through the examples during the workshop, please install RivGraph beforehand, preferably to a fresh Anaconda environment. Instructions can be found here: https://github.com/jonschwenk/RivGraph. It is also recommended that you have a GIS (e.g. QGIS) available for use for easy display/interrogation of results.for easy display/interrogation of results.)
- Presenters-0421 + (In this clinic, we will first demonstrate … In this clinic, we will first demonstrate existing interactive computer-based activities used for teaching concepts in sedimentology and stratigraphy. This will be followed by a hands-on session for creating different modules based on the participants’ teaching and research interests. Active learning strategies improve student exam performance, engagement, attitudes, thinking, writing, self-reported participation and interest, and help students become better acquainted with one another (Prince, 2004). Specifically, computer-based active learning is an attractive educational approach for post-secondary educators, because developing these activities takes advantage of existing knowledge and skills the educator is likely to already have.</br></br>The demonstration portion of the clinic will focus on the existing rivers2stratigraphy (https://github.com/sededu/rivers2stratigraphy) activity, which illustrates basin-scale development of fluvial stratigraphy through adjustments in system kinematics including sandy channel migration and subsidence rates. The activity allows users to change these system properties, so as to drive changing depositional patterns. The module utilizes a rules based model, which produces realistic channel patterns, but simplifies the simulation to run efficiently, in real-time. The clinic will couple rivers2stratigraphy to a conventional laboratory activity which interprets an outcrop photograph of fluvial stratigraphy, and discuss logistics of using the module in the classroom.</br></br>For the second part of the clinic, familiarity with Python will be beneficial (but is not required); we will utilize existing graphical user interface (GUI) frameworks in developing new activities, aimed to provide a user-friendly means for students to interact with model codes while engaging in geological learning. Participants should plan to have Python installed on their personal computers prior to the workshop, and a sample module will be emailed beforehand to let participants begin exploring the syllabus.</br></br>''Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231. doi: 10.1002/j.2168-9830.2004.tb00809.x''.doi: 10.1002/j.2168-9830.2004.tb00809.x''.)
- Presenters-0559 + (In this clinic, we will introduce and expe … In this clinic, we will introduce and experiment with open-source tools designed to promote rapid hypothesis testing for river delta studies. We will show how pyDeltaRCM, a flexible Python model for simulating river delta evolution, can be extended to incorporate any arbitrary processes or forcings. We will highlight how object-oriented model design enables community-driven model development, and how this promotes reproducible science. Our clinic will develop an extended model to simulate deltaic evolution into receiving basins with different slopes. Then, the clinic will step through some basic analyses of the model runs, interrogating both surface processes and subsurface structure. Our overall goal is to familiarize you with the tools we are developing and introduce our approach to software design, so that you may adopt these tools or strategies in your research.</br></br>Please note that familiarity with Python will be beneficial for this clinic, but is not required. Hands-on examples will be made available via an online programming environment (Google CoLab or similar); instructions for local installation on personal computers will be provided prior to the workshop as well.be provided prior to the workshop as well.)
- Presenters-0467 + (In this clinic, we will provide a brief in … In this clinic, we will provide a brief introduction to a selection of models (USGS and others), including FaSTMECH (2D/3D hydraulic) and PRMS (watershed hydrology), that have implemented a Basic Model Interface (BMI) and are available in the Python Modeling Toolkit (PyMT). We will interactively explore Jupyter Notebook examples of both stand-alone model operation and, as time permits, loosely coupled integrated modeling applications.</br>Participants will need a laptop with a web browser. Knowledge of Python, Jupyter Notebook, and hydrologic/hydraulic modeling is helpful, but not required.lic modeling is helpful, but not required.)
- Presenters-0465 + (In this clinic, we will talk about diversi … In this clinic, we will talk about diversity in a way that makes it approachable and actionable. We advocate that actions in support of diversity can happen at all career levels, so everyone who is interested can partake.</br>We will discuss concrete strategies and opportunities to help you bring a diverse research group together. Creating a diverse group can be through reaching out to undergraduate minority students to engage in undergraduate research experiences. This can be done ground-up, i.e. by graduate students in a mentoring role as productively as a faculty in a hiring role. We are all supervisors and mentors in our own ways.</br>We will highlight a number of approaches to engage with underrepresented minority students when recruiting new graduate students, and suggest some concrete adjustments of your recruitment processes to be as inclusive as possible. </br>But being proactive does not stop after recruitment. The clinic will have dedicated discussion time to engage in role play, and provide stories about situations in which you can be an ally. We will identify some pitfalls, ways to reclaim, and provide ideas for more inclusive meetings and mentoring.</br>Lastly, together we can work on creating an overview of current programs that focus on diversity and inclusion, to apply for funding to take action.sion, to apply for funding to take action.)
- Presenters-0599 + (In this clinic, we will use flow routing i … In this clinic, we will use flow routing in models to determine various earth surface processes such as river incision and others. Landlab has several flow routing components that address multiflow-routing, depression-filling and the diversity of grid types. We'll see how to design a landscape evolution model with relatively rapid flow routing execution time on large grids.low routing execution time on large grids.)
- Presenters-0099 + (In this presentation several modeling effo … In this presentation several modeling efforts in Chesapeake Bay will be reviewed that highlight how we can use 3-dimensional, time-dependent hydrodynamic models to provide insight into biogeochemical and ecological processes in marine systems. Two modeling studies will be discussed which illustrate the application of individual based modeling approaches to simulate the impact of 3-dimensional currents and mixing on pelagic organisms and how these interact with behavior to determine the fate of planktonic species. There are many applications of this approach related to fish and invertebrate (e.g., oyster) larvae transport and fate and also plankton that can be used to inform management efforts.<br><br>A long-term operational modeling project will be discussed that combines mechanistic and empirical modeling approaches to provide nowcasts and short-term forecasts of Sea Nettles, HAB, pathogen and also physical and biogeochemical properties for research, management and public uses in Chesapeake Bay. This is a powerful technique can be expanded to any marine system that has a hydrodynamic model and any marine organism for which the habitat can be defined. <br><br>Finally, a new research project will be reviewed where we are assessing the readiness of a suite of existing estuarine community models for determining past, present and future hypoxia events within the Chesapeake Bay, in order to accelerate the transition of hypoxia model formulations and products from academic research to operational centers. This work, which will ultimately provide the ability to do operational oxygen modeling in Chesapeake Bay (e.g., oxygen weather forecasts), can be extended to other coastal water bodies and any biogeochemical property.ded to other coastal water bodies and any biogeochemical property.)
- Presenters-0649 + (In this presentation, James Byrne (Lead Re … In this presentation, James Byrne (Lead Research Software Engineer) and</br>Jonathan Smith (Principal Research Scientist) from the British Antarctic</br>Survey will be describing existing digital infrastructure projects and</br>developments happening in and around BAS. They will give a flavour of</br>how technology is influencing the development of environmental and polar</br>science, covering numerous research and operational domains. They will</br>be focusing on the digital infrastructure applied to IceNet, an AI-based</br>deep learning infrastructure. We will then show how generalized</br>approaches to digital infrastructure are being applied to other areas,</br>including cutting-edge Autonomous Marine Operations Planning (AMOP) capabilities. </br></br>We will end highlighting the challenges that need solving in working towards an Antarctic Digital Twin and how we might approach them.gital Twin and how we might approach them.)
- Presenters-0650 + (In this talk, I will discuss the need for … In this talk, I will discuss the need for low carbon and sustainable computing. The current emissions from computing are almost 4% of the world total. This is already more than emissions from the airline industry and ICT emissions are projected to rise steeply over the next two decades. By 2040 emissions from computing alone will account for more than half of the emissions budget to keep global warming below 1.5°C. Consequently, this growth in computing emissions is unsustainable. The emissions from production of computing devices exceed the emissions from operating them, so even if devices are more energy efficient producing more of them will make the emissions problem worse. Therefore we must extend the useful life of our computing devices. As a society we need to start treating computational resources as finite and precious, to be utilized only when necessary, and as effectively as possible. We need frugal computing: achieving our aims with less energy and material.</br></br>'''Additional links:'''<br></br>* Blog posts: </br>** On climate cost of AI</br>*** https://wimvanderbauwhede.codeberg.page/articles/the-insatiable-hunger-of-openai/</br>*** https://wimvanderbauwhede.codeberg.page/articles/google-search-vs-chatgpt-emissions/</br>*** https://wimvanderbauwhede.codeberg.page/articles/climate-cost-of-ai-revolution/</br>** On Frugal Computing</br>*** https://wimvanderbauwhede.codeberg.page/articles/frugal-computing/</br>*** https://wimvanderbauwhede.codeberg.page/articles/frugal-computing-consumer/</br>*** https://wimvanderbauwhede.codeberg.page/articles/frugal-computing-developer/</br>* University web site with slides and videos of seminar talks</br>** https://www.gla.ac.uk/schools/computing/research/researchthemes/lowcarbon/</br>* Low Carbon Computing Learning and Teaching Resources</br>** https://codeberg.org/jgrizou/Low-Carbon-Computing-Teaching-Resources/jgrizou/Low-Carbon-Computing-Teaching-Resources)
- Presenters-0449 + (In this webinar, I will present a new fram … In this webinar, I will present a new framework termed “Bayesian Evidential Learning” (BEL) that streamlines the integration of these four components common to building Earth systems: data, model, prediction, decision. This idea is published in a new book: “Quantifying Uncertainty in Subsurface Systems” (Wiley-Blackwell, 2018) and applied to five real case studies in oil/gas, groundwater, contaminant remediation and geothermal energy. BEL is not a method, but a protocol based on Bayesianism that lead to the selection of relevant methods to solve complex modeling and decision problems. In that sense BEL, focuses on purpose-driven data collection and model-building. One of the important contributions of BEL is that is a data-scientific approach that circumvents complex inversion modeling relies on machine learning from Monte Carlo with falsified priors. The case studies illustrate how modeling time can be reduced from months to days, making it practical for large scale implementations. In this talk, I will provide an overview of BEL, how it relies on global sensitivity analysis, Monte Carlo, model falsification, prior elicitation and data scientific methods to implement the stated principle of its Bayesian philosophy. I will cover an extensive case study involving the managing of the groundwater system in Denmark.ging of the groundwater system in Denmark.)
- Presenters-0022 + (In this workshop we will explore publicly … In this workshop we will explore publicly available socioeconomic and hydrologic datasets that can be used to inform riverine flood risks under present-day and future climate conditions. We will begin with a summary of different stakeholders’ requirements for understanding flood risk data, through the lens of our experience working with federal, state and local clients and stakeholders. We will then guide participants through the relevant data sources that we use to inform these studies, including FEMA floodplain maps, census data, building inventories, damage functions, and future projections of extreme hydrologic events. We will gather and synthesize some of these data sources, discuss how each data source can be used in impact analyses; and discuss the limitations of each available data source. We will conclude with a brainstorming session to discuss how the scientific community can better produce actionable information for community planners, floodplain managers, and other stakeholders who might face increasing riverine flood risks in the future.easing riverine flood risks in the future.)
- Presenters-0030 + (Increased computing power, high resolution … Increased computing power, high resolution imagery, new geologic dating techniques, and a more sophisticated comprehension of the geodynamic and geomorphic processes that shape our planet place us on the precipice of major breakthroughs in understanding links among tectonics and surface processes. In this talk, I will use University of Washington’s “M9 project” to highlight research progress and challenges in coupled tectonics and surface processes studies over both short (earthquake) and long (mountain range) timescales. A Cascadia earthquake of magnitude 9 (M9) would cause shaking, liquefaction, landslides and tsunamis from British Columbia to northern California. The M9 project explores this risk, resilience and the mechanics of Cascadia subduction. At the heart of the project are synthetic ground motions generated from 3D finite difference simulations for 50 earthquake scenarios including factors not previously considered, such as the distribution and timing of energy release on the fault, the coherent variation of frequency content of fault motion with fault depth, and the 3D effects of the deep basins along Puget Sound. Coseismic landslides, likely to number in the thousands, represent one of the greatest risks to the millions of people living in Cascadia. Utilizing the synthetic ground motions and a Newmark sliding block analysis, we compute the landscape response for different landslide failure modes. Because an M9 subduction earthquake is well known to have occurred just over 300 years ago, evidence of coseismic landslides triggered by this event should still be present in Washington and Oregon landscapes. We are systematically hunting for these landslides using a combination of radiocarbon dating and surface roughness analysis, a method first developed to study landslides near to the Oso 2014 disaster site, to develop more robust regional landslide chronologies to compare to model estimations. Resolved ground motions and hillslope response for a single earthquake can then be integrated into coupled landscape evolution and geodynamic models to consider the topographic and surface processes response to subduction over millions of years. This example demonstrates the power of an integrative, multidisciplinary approach to provide deeper insight into coupled tectonic and surface processes phenomena over a range of timescales.sses phenomena over a range of timescales.)
- Presenters-0606 + (Increasing physical complexity, spatial re … Increasing physical complexity, spatial resolution, and technical coupling of numerical models for various earth systems require increasing computational resources, efficient code bases and tools for analysis, and community codevelopment. In these arenas, climate technology industries have leapfrogged academic and government science, particularly with regards to adoption of open community code and collaborative development and maintenance. In this talk, I will discuss industry coding practices I learned to bring into my workflow for efficient and rapid development, easier maintenance, collaboration and learning, and reproducibility.oration and learning, and reproducibility.)
- Presenters-0685 + (Individual-based vegetation models are ess … Individual-based vegetation models are essential for understanding and predicting ecosystem responses to environmental change. While these models rely on well-established process descriptions - such as vegetation establishment, growth and mortality - they are often developed from scratch, leading to inefficiencies. We present pyMANGA, an open-source, modular platform designed to streamline model development and enable systematic hypothesis testing. By allowing researchers to combine, modify and extend different concepts of plant growth, competition and resource dynamics, pyMANGA supports flexible, reproducible modelling. The platform is particularly suited to the study of ecohydrological interactions, including soil-plant feedback loops in coastal ecosystems. Transparency is ensured through open-source access, version control and automated benchmarking, while a structured review process fosters collaboration. Defined interfaces make it easy to compare models of varying complexity and abstraction, improving reproducibility and robustness. By providing an efficient and extensible framework, pyMANGA advances ecological modelling and improves decision making in environmental science. decision making in environmental science.)
- Presenters-0423 + (Interested in which variables influence yo … Interested in which variables influence your model outcome? SALib (Sensitivity Analysis Library) provides commonly used sensitivity analysis methods implemented in a Python programming language package. In this clinic we will use these methods with example models to apportion uncertainty in model output to model variables. We will use models built with the Landlab Earth-surface dynamics framework, but the analyses can be easily adapted for other model software. No prior experience with Landlab or Python is necessary.ience with Landlab or Python is necessary.)
- Presenters-0488 + (Introduction for the CSDMS 2020 annual meeting, presenting last years accomplishments and available resources for the community.)
- Presenters-0549 + (Introduction for the CSDMS 2021 annual meeting)
- Presenters-0028 + (Introduction to the Natural Hazard workshop)
- Presenters-0634 + (It is now well established that the evolut … It is now well established that the evolution of terrestrial species is highly impacted by long term topographic changes (e.g., high biodiversity in mountain ranges globally). Recent advances in landscape and biological models have opened the gate for deep investigation of the feedback between topographic changes and biological processes over millions of years timescale (e.g., dispersal, adaptation, speciation). In this clinic, we will use novel codes that couple biological processes with FastScape, a widely used landscape evolution model, and explore biological processes and speciation during and after mountain building under different magnitudes of tectonic rock uplift rates. We will explore and deduce how the magnitude and pace of mountain building impact biodiversity and how such interactions can be tracked in mountain ranges today. Python and Jupyter Notebook will be used in the clinic, and basic knowledge in python is desirable.nd basic knowledge in python is desirable.)
- Presenters-0592 + (It is well established that coupling and s … It is well established that coupling and strong feedbacks may occur between solid Earth deformation and surface processes across a wide range of spatial and temporal scales. As both systems on their own encapsulate highly complex and nonlinear processes, fully-coupled simulations require advanced numerical techniques and a flexible platform to explore a multitude of scenarios. Here, we will demonstrate how the Advanced Solver for Problems in Earth's Convection and Tectonics (ASPECT) can be coupled with FastScape to examine feedbacks between lithospheric deformation and landscape evolution. The clinic will cover the fundamental equations being solved, how to design coupled simulations in ASPECT, and examples of coupled continental extension and landscape evolution.inental extension and landscape evolution.)