Over the course of one week, students will apply and evaluate concepts in the context of their local community, culminating in the formulation and evaluation of Hazard Mitigation Plan recommendations presented in stakeholder position papers. These position papers, which will also serve as the summative assessment of the Major Storms and Community Resilience Module, will be presented and assessed during a Town Hall Meeting. In this role-playing activity, students apply and evaluate concepts in the context of assigned stakeholder positions from their local community. Over the course of the week, students formulate and evaluate Hazard Mitigation Plan recommendations for major storms, and then present those recommendations in a town hall-style meeting. These assignments demonstrate students' ability to develop strategies and recommendations to mitigate local community vulnerabilities to storms with specific emphasis on different sectors and/or stakeholders in that community. Instructors will assess student achievement of the learning goals through a formal oral presentation and a team policy position paper. As such, the culmination of Unit 3 in the Town Hall Meeting serves as the summative assessment for the Major Storms module.

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How do geoscientists confidently create landslide susceptibility maps based on empirical data? Together with Unit 2: Examining the Distribution of Mass Wasting Events, this exercise helps students use GIS to gain quantitative landslide analysis skills. In this unit, students model and statistically validate landslide susceptibility maps using a combination of some, or all, of the landslide susceptibility values calculated in Unit 2. From their model validations, students then propose and defend a final landslide susceptibility map to be adopted for use in risk assessment. This unit uses ArcMap software.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lectures are designed to be interactive and really need to be done synchronously. Discussion would be better that way too.

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After an opening discussion of systems thinking and models, student use webDICE , an online Dynamic Integrated Climate Economy model developed by Center for Robust Decision Making on Climate and Energy Policy at the University of Chicago. Students will manipulate input parameters and interpret output in small groups in-class and individually out of class to complete the major mid-module assignment. The goal is to develop their understanding of the sources of uncertainty around future predictions of climate change and its impacts. Students are also introduced to the concept of Social Cost of Carbon (SCC) which is central to subsequent units in this module.

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In this unit, we use energy flows within the climate system to introduce climate feedbacks and system diagrams. The class session uses an interactive lecture approach having students work on multiple tasks throughout the class session. A system diagram highlighting the complexity of climate change mitigation policy is created to highlight the interdisciplinary nature of addressing anthropogenically forced climate change. The climatic effects of volcanic eruptions are highlighted to provide necessary scaffolding for this module's capstone assessment.

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In the capstone, Unit 3, students are provided a real-world example of local community action to address the challenge of "healthy food access." The 2015 Leon County (Florida) Sustainable Communities Summit highlights the results of communities working together to promote environmental and food justice. By the end of Unit 3, instructors can deliver a call to action to empower students to be participatory citizens in their communities. The summative assessment will evaluate the students' ability to synthesize the module learning objectives and demonstrate the use of science practices.

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In this unit, students will design a survey (TLS and/or SfM) of a fault scarp. After conducting the survey in the field, students will analyze the data to identify the number and magnitude of possible fault displacement(s) by measuring offsets in the point cloud as well as calculate the recurrence interval of the fault based on either a known age or scarp morphometric age (or both). The goal is to create a brief report summarizing the methods used and Quaternary history of displacements on the fault. An optional extension exercise (Unit 3.5) has the students conduct a hillslope diffusion analysis is using MATLAB. Fault scarps are the topographic evidence of earthquakes large and shallow enough to break the ground surface, and are evidence of Quaternary fault activity. A primary goal of studying exposed scarps is to gain insight into the magnitude and frequency of fault slip. Scarps typically begin as step-shaped landforms and deteriorate with age through erosion. In some cases, the form of the scarp may record evidence of more than one earthquake, distinguished by a change in scarp slope. Assuming the same surface processes, the relative age of fault scarps can be determined by their morphology (shape).

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Students will be introduced to a few of the different methods used in paleoclimatology, including isotopic ratios as paleotemperature proxies. They will investigate the greenhouse gas connections of two ancient climate episodes, the cold "Snowball Earth" of the Neoproterozoic and the hot "Paleocene-Eocene Thermal Maximum" (PETM) of the Cenozoic.
The unit emphasizes the grand challenges of energy resources and climate change by grounding these issues in an understanding of ancient climate from a systems thinking perspective. Students will gain a more robust appreciation for the record of the movement of carbon between atmosphere, geosphere, hydrosphere, and biosphere over geologic time, and how various components of the Earth system respond to those perturbations. The unit practices geoscientific habits of mind, such as comparing modern processes to ancient analogues recorded by geologic processes, as well as the importance of converging lines of evidence, and recognition of Earth as a long-lived, dynamic, and complex system.

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This unit provides essential background information on GPS (global positioning system) and reference frames. Students learn how to access GPS location and velocity data from the Network of the Americas (NOTA). They calculate total horizontal motion graphically and mathematically and tie the observed motions to local strain.

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Note: Although the term GPS (Global Positioning System) is more commonly used in everyday language, it officially refers only to the USA's constellation of satellites. GNSS (Global Navigation Satellite System) is a universal term that refers to all satellite navigation systems including those from the USA (GPS), Russia (GLONASS), European Union (Galileo), China (BeiDou), and others. In this module, we use the term GPS even though, technically, some of the data may be coming from satellites in other systems.

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Online-ready: The exercise is electronic (including accessing an online data portal) and could be done individually or in small online groups. Lecture can be done in synchronous or asynchronous online format.

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GPS data can measure bedrock elevation change in response to the changing mass of glaciers. In this module, students will learn how to read GPS data to interpret how the mass of glaciers in Alaska and Greenland is changing, both annually and long-term. They will then apply the skills they developed and knowledge they gained to demonstrate their understanding of how their GPS data about glacial change has implications for sea level rise.

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Online-ready: All exercises are electronic and could be done individually or in small online groups. Lecture as currently provided is best done in synchronous format to retain interactive components. Authors provide a shortened version of Activities 1-3 combined into a single file used in their online courses. See below Condensed version for online.

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What is the contribution of melting ice sheets compared to other sources of sea-level rise? How much is the sea level projected to increase during the twenty-first century? In this unit students will use Gravity Recovery and Climate Experiment (GRACE) ice-mass loss time series from Greenland and Antarctica to calculate sea-level rise due to the addition of freshwater inputs from melting ice sheets, and use Interferometric Synthetic Aperture Radar (InSAR) ice-velocity data to extrapolate which regions of the ice sheets are losing the greatest mass. Sea-level rise from melting ice sheets is then contrasted to the other dominant causes of sea-level rise, including thermal expansion, melting glaciers, and changes in land water storage. Lastly, students will extrapolate how much sea-level rise will occur by year 2100 based on recent observed rates of sea-level rise and compare these values to sea-level rise projections from the Intergovernmental Panel on Climate Change.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture is best done synchronously due to the technical nature. Discussion would be better that way too.

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Students work in small groups to examine data and videos of earthquakes, submarine volcanic eruptions, and black smokers at submarine divergent plate boundaries, and then predict similar processes at subaerial divergent plate boundaries. The culminating activity has students use Google Earth to examine data for each plate boundary, connect seismic data with volcanic events to make connections between the style and scale of volcanic eruptions and seismic activity, and the resulting morphology of divergent plate boundaries. Data sets will include Google Earth, Smithsonian GVN, NOAA, USGS, and written accounts.

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Students use Google Earth to observe two river systems and characterize changes in gradient from the headwaters to the mouth, and relate changes in those gradients to different rock types. At one location, they observe historical changes in the river and infer how sediment erosion and deposition can alter a stream channel. Students also observe some ways in which humans attempt to prevent bank erosion.

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How can we tell what style of faulting was responsible for a particular earthquake? Especially in cases where there is limited instrumentation in a region, or where geologists have difficulty accessing the affected areas? What if the fault responsible does not break the surface? In this unit, we will show how modern space geodesy allows us to measure movements of Earth's surface over wide areas without the need to visit the region in question, and we will demonstrate the various Earth processes that we are able to measure and monitor in this way. Specifically, we will show how a technique known as Interferometric Synthetic Aperture Radar (InSAR) has revolutionized our ability to study earthquakes on the continents, by allowing us to measure where, over what spatial extent, how far, and in what direction, earthquakes have caused the ground to move.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture can be done in an online format. A synchronous session is recommended.

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The purpose of this unit is to learn some of the scientific tools used to determine hurricane location, path, and strength. Students plot the path of a recent hurricane (Irene, 2011), work with an online viewer to learn the typical tracks hurricanes follow, and use a measure of hurricane energy to compare individual hurricanes and yearly totals. In Activity 3.1, on a standard National Oceanic and Atmospheric Administration (NOAA) Atlantic Hurricane Map, students gain experience in plotting a hurricane track and in basic mapping skills. In Activity 3.2, students work with an online viewer to learn about the typical paths and landfall patterns of Atlantic hurricanes. Students compare the locations, paths, and variation of hurricane tracks from a century-scale record. In Activity 3.3, students use the Accumulated Cyclone Energy (ACE) index as a way of measuring hurricane season totals and consider the policy implications of a predicted above-normal hurricane year. Note: computer lab with Internet access (or student laptops in the lecture/lab room) required for Activity 3.2.

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This unit introduces systems modeling, which allows students to quantify and manipulate system components to create system responses. Students use a simple systems model of a bathtub to explore the effect of flow rates on system equilibrium. To complete the unit, students will need a method for creating and sharing diagrams (whiteboards, posters, etc.), and will ideally have access to free systems modeling software.

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This unit shows how GPS records of surface elevation can be used to monitor groundwater changes. Students calculate secular trends in the GPS time series and then use the original and detrended records to identify sites that are dominated by the elastic response to regional groundwater changes versus those dominated by local subsidence. They then compare the magnitude and timescales of fluctuations in Earth's surface elevation that result from sediment compaction, regional groundwater extraction, and natural climatic variability. This unit provides students with hands-on experience of the challenges and advantages of using geodetic data to study the terrestrial water cycle. The case study area is in California and the GPS records include the period of the profound 2012 -- 2016 drought.

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Note: Although the term GPS (Global Positioning System) is more commonly used in everyday language, it officially refers only to the USA's constellation of satellites. GNSS (Global Navigation Satellite System) is a universal term that refers to all satellite navigation systems including those from the USA (GPS), Russia (GLONASS), European Union (Galileo), China (BeiDou), and others. In this module, we use the term GPS even though, technically, some of the data may be coming from satellites in other systems.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture is best done synchronously due to the technical nature. Discussion would be better that way too.

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Students will identify their perceptions of erosion by examining images of mountain and agricultural landscapes and discussing which environment is more erosive. They will use geospatial figures to compare erosion rates associated with both natural and agricultural landscapes in the United States. Students will then consider how the presence of agriculture has reduced the areas of soil production, replacing them with regions of soil loss. They will reflect on the negative impact of agricultural erosion on soil sustainability.

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Students will be able to identify the functional roles that organisms play in ocean ecosystems. How do human-induced changes in ocean conditions affect biodiversity, and thereby the health and resilience of a coral reef? Students explore and discuss the direct and indirect impacts that ocean acidification can have on species, food web dynamics, ecosystem function, and commercial resources. At the end of this unit the students should be able to articulate how changes in ocean chemistry can create negative outcomes for humans who depend on living ocean resources.

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In this unit students will explore surface water and its relationship to the water cycle via watersheds and drainage divides. These topics will inform their analysis of the social and environmental impacts of the planned increase of hydroelectric dams in the Amazon. Case studies include the Ene River and the MaraÃÃn River in Peru.

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In this unit, students will develop protocols for the collection of sensory data (scents and/or sounds), plan and execute the field collection of sensory data using developed protocols, analyze collected data, and create a map that communicates findings and impacts on the local population.
The advantage of using sensory data is that students are equipped with the analytical equipment (ears and nose) and are familiar with its use. However, students may not have taken the time to consider the variety of perceptions that occur within a group of people who are sharing a sensory experience and the impact that variation can have when collecting and analyzing data and subsequently communicating the results.
In this unit, as in the entire module, sensory data is considered in two contexts: First, as an indicator of environmental conditions, and, in some instances, environmental disruption. Second, as a proxy for data that is not as easily collected or as readily analyzed such as air or water samples. One of the challenges of developing these protocols will be discerning individual components from a complex system and developing an approach for systematically recording these data. This, though, gives students important exposure to the challenges of understanding and characterizing today's societal problems, which tend to include many interrelated dynamic causes.

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