Tuesday May 18th
9:00 - 10:30am MST; Plenary keynote presentations
Lamont-Doherty Earth Observatory
Integrating numerical models with co-production to understand sea level change and its impact around Greenland Melting of the Greenland Ice Sheet contributes to rising global sea levels. However, local sea level along much of the Greenland coast is falling due to postglacial rebound and a decrease in gravitational attraction from the ice sheet. This affects Greenlandic coastal communities, which have to adapt their coastal infrastructure, shipping routes, and subsistence fisheries. The “Greenland Rising” project is a collaboration between Lamont-Doherty Earth Observatory and the Greenland Institute of Natural Resources that focuses on assessing and preparing for changing sea level along Greenland’s coastline. While sea level is predicted to fall, the exact magnitude varies widely depending on past and present ice change as well as the viscoelastic properties of the subsurface. I will demonstrate how current sea level change depends on these parameters and how we can integrate numerical models of glacial isostatic adjustment with observations of past sea level and present-day uplift to constrain them. I will further briefly describe the role of co-production in this project, which has allowed us to coordinate bathymetric surveys with local stakeholders from the municipality, industry, and local Hunters and Fishers organization. Combining numerical predictions of sea level change with baseline bathymetry and benthic mapping promises to provide communities with a clearer picture of future environmental change.
U.S. House of Representatives Transportation and Infrastructure Subcommittee on Coast Guard and Maritime Transportation; Formerly at Earth and Environmental Studies Department, Montclair State University
From Coastal Retreat to Seaward Growth: Emergent Behaviors from Paired Community Beach Nourishment Choices Coastal communities facing shoreline erosion preserve their beaches both for recreation and for property protection. One approach is nourishment, the placement of externally-sourced sand to increase the beach’s width, forming an ephemeral protrusion that requires periodic re-nourishment. Nourishments add value to beachfront properties, thereby affecting re-nourishment choices for an individual community. However, the shoreline represents an alongshore-connected system, such that morphodynamics in one community are influenced by actions in neighboring communities. Prior research suggests coordinated nourishment decisions between neighbors were economically optimal, though many real-world communities have failed to coordinate, and the geomorphic consequences of which are unknown. Toward understanding this geomorphic-economic relationship, we develop a coupled model representing two neighboring communities and an adjacent non-managed shoreline. Within this framework, we examine scenarios where communities coordinate nourishment choices to maximize their joint net benefit versus scenarios where decision-making is uncoordinated such that communities aim to maximize their independent net benefits. We examine how community-scale property values affect choices produced by each management scheme and the economic importance of coordinating. The geo-economic model produces four behaviors based on nourishment frequency: seaward growth, hold the line, slow retreat, and full retreat. Under current conditions, coordination is strongly beneficial for wealth-asymmetric systems, where less wealthy communities acting alone risk nourishing more than necessary relative to their optimal frequency under coordination. For a future scenario, with increased material costs and background erosion due to sea-level rise, less wealthy communities might be unable to afford nourishing their beach independently and thus lose their beachfront properties.
Atolls & Ecogeomorphology: Investigating the feedbacks between physical, anthropogenic, and ecological processes under changing climates via remote sensing, computational modeling, and fieldwork 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.
Western Washington University
Modeling bed material abrasion at the basin scale: why the classic approach fails us Bed material abrasion is a key control on the partitioning of basin scale sediment fluxes between coarse and fine material. While abrasion is traditionally treated as a simple exponential function of transport distance and a rock-specific abrasion coefficient, experimental studies have demonstrated greater complexity in the abrasion process: the rate of abrasion varies with clast angularity, transport rate, and grain size. Yet, few studies have attempted to assess the importance of these complexities in the field setting. Furthermore, existing approaches generally neglect the heterogeneity in size, abrasion potential, and clast density of the source sediment.</br>Combining detailed field measurements and new modeling approaches, we quantify abrasion in the Suiattle River, a basin in the North Cascades of Washington State dominated by a single coarse sediment source: large, recurrent debris flows from a tributary draining Glacier Peak stratovolcano. Rapid downstream strengthening of river bar sediment and a preferential loss of weak, low-density vesicular volcanic clasts relative to non-vesicular ones suggest that abrasion is extremely effective in this system. The standard exponential model for downstream abrasion fails to reproduce observed downstream patterns in lithology and clast strength in the Suiattle, even when accounting for the heterogeneity of source material strength and the underestimate of abrasion rates by tumbler experiments. Incorporating transport-dependent abrasion into our model largely resolves this failure. These findings hint at the importance of abrasion and sediment heterogeneity in the morphodynamics of sediment pulse transport in river networks. A new modeling tool will allow us to tackle these questions: the NetworkSedimentTransporter, a Landlab component to model Lagrangian bed material transport and channel bed evolution. This tool will allow for future work on the interplay of bed material abrasion and size selective transport at the basin scale.</br>While a simplified approach to characterizing abrasion is tempting, our work demonstrates that sediment heterogeneity and transport-dependent abrasion are important controls on the downstream fate of coarse sediment in fluvial systems.
The University of Sydney
A geomorphic perspective on Quaternary biogeographic connectivities across South East Asia Sundaland, the name given to the emerged parts of the Sunda Shelf during low sea level, currently lies approximately 100 m</br>beneath the Java Sea and southwestern part of the South China Sea. The region is of particular interest in biogeography and biodiversity studies for its position at the junction between two major zoogeographic provinces that extend across the Equator and for its prevailing connection with mainland Southeast Asia. Using landscape evolution and connectivity analysis models, we will investigate how changes induced by drainage basins reorganisation and river captures have transformed the environment into fragmented habitats over the past million years. We will see that physiographic evolution has a strong control on the preferential connectivity pathways and triggers successive phases of expansion and compression of the migratory corridors across the shelf and is an important mechanism to consider in order to improve our understanding of species richness dynamics in the region.
11:00am - 1pm MST; Clinics: choose clinic of interest (only 1 each day as these are given in parallel)
Doug Edmonds & Sam Roy
University of Indiana & Planet Labs
An Introduction to using Google Earth Engine 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/)
Do the work: Building a more equitable research unit Many geoscientists and geoscience organizations vowed to work towards equity and committed to anti-racist action in 2020. But getting started on and staying committed to diversity, equity, and inclusion (DEI) work takes time, energy, and education. This clinic will be a learning and sharing space for everyone who is on a journey towards building a more equitable research unit. Everyone can participate in this clinic, regardless of whether you are just starting your journey or you have travelled many miles and whether your research unit is one person or 100 people.</br></br>The clinic will begin with discussion and thought exercises about your personal identity. We will then think about what it means for our individual research units to be diverse, equitable, and inclusive. Finally, we will discuss actions you can take to build an anti-racist research unit. Participants will be invited to share their current DEI actions and discuss how they can be adapted for, or expanded in, other settings. The clinic aims to foster an environment in which participants can learn from each other, but participants will not be required to share. Upon completion of this clinic every participant should have a plan for implementing at least one new DEI action, including milestones and accountability checks.
AI/ML Initiative/CSDCS, UC, Boulder
Training Datasets for Modeling with AI across the Deep-Ocean Seafloor As agreed at earlier CSDMS forums, the major </br>impediment in using AI for modeling the deep-ocean</br>seafloor is a lack of training data, the data which guides the AI - </br>whichever set of algorithms is chosen. This clinic will expose participants to </br>globally-extensive datasets which are available through CSDMS.</br>It will debate the scientific questions of why certain data work well,</br>are appropriate to the processes, and are properly scaled.</br>Participants are encouraged to bring their own AI challenges to the clinic.
Allen Lee & Mark Piper
CoMSES Net; Arizona State University & CSDMS IF
Git good with FAIR enough practices for scientific software development This hands-on virtual clinic will go over good practices for scientific software development to help you develop and publish FAIR (Findable, Accessible, Interoperable, and Reusable) scientific software. We will cover basic principles and examples from the field and then dive into common collaboration workflows in Git and GitHub that facilitate comprehension and reuse of your codebases. We will engage in live-coding exercises with test repositories on GitHub and help you develop a clear conceptual model of how Git works and how to keep a codebase commit history clean and comprehensible with branches, merging / rebasing, and pull requests.
University of Colorado
Component-based Hydrologic Modeling: Getting Started with the TopoFlow 3.6 Python Package 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.
1:30 - 3:00pm MST; GroupMeeting / Posters