''Poster Information'': The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2016.<br><br>
''Poster Information'': The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2016.<br><br>
=Announcements=
<!--=Announcements=
# If you are participating in the clinics listed below, please bring your HPCC login information to the meeting. If you do not have an account, apply for one here by May 15: https://csdms.colorado.edu/wiki/HPCC_account_request<br>
# If you are participating in the clinics listed below, please bring your HPCC login information to the meeting. If you do not have an account, apply for one here by May 15: https://csdms.colorado.edu/wiki/HPCC_account_request<br>
#* WMT and the Dakota iterative systems toolkit<br>
#* WMT and the Dakota iterative systems toolkit<br>
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=Agenda=
=Agenda=
Click [[Media:Agenda_CSDMS_2015.pdf|here]] to view the final agenda
Click [[Media:Agenda_CSDMS_2015.pdf|here]] to view the final agenda-->
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==Keynote Speakers==
==Keynote Speakers==
{{Keynote-clinics
{{Keynote-clinics
| name = Brian Fath
| name =
| affiliation = Towson University; International Institute for Applied Systems Analysis
| affiliation =
| participants =
| participants =
| title = Quo Vadis Ecosystem? Insights from Ecological Modelling and Systems Ecology
| title =
| abstract = The question of ecosystem dynamics is relevant from a scientific and management perspective. Knowing the natural tendencies and trajectories of ecosystems will assist in planning for their development and restoration. One key feature is how the ecosystem uses the available energy flows to move further from thermodynamic equilibrium and increase its overall complexity in terms of total biomass, biodiversity, network connectivity, and information. In this presentation, I review some of the main concepts that have been used to identify these dynamic trajectories. Namely, it can be shown using network analysis that a number of ecological goal functions pertaining to energy, exergy, biomass, embodied energy, entropy, and information are complementary displaying various angles of the same general complexification phenomena.<br>
| abstract = <br>
}}{{Keynote-clinics
| name = Randy LeVeque
| affiliation = University of Washington
| participants =
| title = The GeoClaw Software
| abstract = 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.
}}{{Keynote-clinics
| name = Stefano Nativi
| affiliation = Institute of Atmospheric Pollution Research of the National Research Council of Italy (CNR-IIA)
| participants =
| title = GEOSS and its Common Infrastructure
| abstract = Established in 2005, GEO (http://www.earthobservations.org/) is a voluntary partnership of governments and organizations that envisions “a future wherein decisions and actions for the benefit of humankind are informed by coordinated, comprehensive and sustained Earth observations and information.” GEO Member governments include 96 nations and the European Commission, and 87 Participating Organizations comprised of international bodies with a mandate in Earth observations. Together, the GEO community is creating a Global Earth Observation System of Systems (GEOSS) that will link Earth observation resources world-wide across multiple Societal Benefit Areas - agriculture, biodiversity, climate, disasters, ecosystems, energy, health, water and weather - and make those resources available for better informed decision-making. Through the GEOSS Common Infrastructure (GCI), GEOSS resources, including Earth observation data (satellite, airborne, in situ, models), information services, standards and best practices, can be searched, discovered and accessed by scientists, policy leaders, decision makers, and those who develop and provide information services across the entire spectrum of users.<br><br>The presentation will cover the GCI overall architecture and some possible future developments.
}}{{Keynote-clinics
| name = Kyle Straub
| affiliation = Tulane
| participants =
| title = Signals of Relative Sea Level perturbations: Defining the divide between autogenic signal shredding vs. preservation in the stratigraphic record
| abstract = Kyle M. Straub and Qi Li<br>Tulane University, Department of Earth and Environmental Sciences<br><br>Recent theoretical work suggests that autogenic processes in sediment transport systems have the capacity to shred signals of environmental and tectonic perturbations prior to transfer to the stratigraphic record. We view this theory as a major conceptual and quantitative breakthrough in long time scale Earth-surface processes and stratigraphy, but the general theory still needs to be adapted to deal with specific types of signals. Many argue that the tug of Relative Sea Level (RSL) change represents the most important boundary condition forcing affecting continental margin transport systems. However, we still lack quantitative theory to explain what properties RSL cycles must have to be stored in stratigraphy, thus limiting the usefulness of stratigraphy for defining paleo-environments. Results from our previously conducted laboratory experiments suggest that RSL cycles with amplitudes less than a channel depth and of periodicities less than the amount of time necessary to deposit, on average, one channel depth of stratigraphy over a delta-top are susceptible to signal shredding. Our hypothesis is supported using existing data sets and new numerical and physical experiments in which the surface process response and preserved record of RSL cycles of varying magnitudes and periodicities is constrained. Quantitative theory and predictions produced from this work is benchmarked against stratigraphy from the Late Miocene to Quaternary stratigraphy of the Mississippi Delta. During this time interval a significant change in the magnitude and periodicity of RSL cycles occurred. RSL cycles in the Late Miocene for the Mississippi Delta are predicted to be shredded, while more recent cycles are predicted to be preserved.
}}{{Keynote-clinics
| name = Lejo Flores
| affiliation = Boise State University
| participants =
| title = Modeling the Critical Zone: Challenges and opportunities for network science
| abstract =
}}{{Keynote-clinics
| name = Phaedra Upton
| affiliation = GNS Science
| participants =
| title = Models meet Data, Earth Surface meet Geodynamics
| abstract = Phaedra Upton, Peter O. Koons, Sam G. Roy, Jamie D. Howarth, Dave Craw<br><br> The Earth’s surface is a boundary layer between internally-driven geodynamics and atmospheric forcing. In much of what we do as landscape modellers, our analysis of Earth surface can be enhanced by consideration and understanding of the substrate acted upon by hillslope, riverine and glacial processes. To explore the influence of crustal strength on patterns of fluvial incision, we use a conservative scaling rule to relate rock erodibility to field measurements of cohesive strength. In other models, grain sizes produced upon the erosion of rock are made a function of field measured fracture density values. By combining 3D geodynamic codes with landscape evolution models we are able to explore the sensitivity of surface processes to topographic and tectonic stresses, geological history, fault damage, seismic accelerations, pore pressures, and fluid flow. We present several examples where useful interpretations were made by integrating field, lab, and experimental data with geodynamic models, landscape evolution models, or a combination of both. Our examples are bias toward collisional settings – the Himalaya, the Southern Alps and Taiwan, but the approach is equally valid when considering strike-slip or extensional settings.
}}{{Keynote-clinics
| name = Forrest Hoffman
| affiliation = Oakridge National Laboratory
| participants =
| title =Computational Approaches for Model, Experiment, and Data Integration Supporting Site Characterization and Model Evaluation
| abstract =Forrest M. Hoffman, Jitendra Kumar, James T. Randerson, William J. Riley, David M. Lawrence, Damian M. Maddalena, Zachary L. Langford, and William W. Hargrove<br><br>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.<br><br>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.<br><br>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.
}}{{Keynote-clinics
| name = Mary Hill
| affiliation = University of Kansas
| participants =
| title = Testing model analysis frameworks
| abstract = Model analysis frameworks specify ideas by which models and data are combined to simulate a system on interest. A given modeling framework will provide methods for model parameterization, data and model error characterization, sensitivity analysis (including identifying observations and parameters important to calibration and prediction), uncertainty quantification, and so on. Some model analysis frameworks suggest a narrow range of methods, while other frameworks try to place a broader range of methods in context. Testing is required to understand how well a model analysis framework is likely to work in practice. Commonly models are constructed to produce predictions, and here the accuracy and precision of predictions are considered.<br><br> The design of meaningful tests depends in part on the timing of system dynamics. In some circumstances the predicted quantity is readily measured and changes quickly, such as for weather (temperature, wind and precipitation), floods, and hurricanes. In such cases meaningful tests involve comparing predictions and measured values and tests can be conducted daily, hourly or even more frequently. The benchmarking tests in rainfall-runoff modeling, such as HEPEX, are in this category. The theoretical rating curves of Kean and Smith provide promise for high flow predictions. Though often challenged by measurement difficulties, short timeframe systems provide the simplest circumstance for conducting meaningful tests of model analysis frameworks.<br><br> If measurements are not readily available and(or) the system responds to changes over decades or centuries, as generally occurs for climate change, saltwater intrusion of groundwater systems, and dewatering of aquifers, prediction accuracy needs to be evaluated in other ways. For example, in recent work two methods were used to identify the likely accuracy of different methods used to construct models of groundwater systems (including parameterization methods): (1) results of complex and simple models were compared and (2) cross-validation experiments. These and other tests can require massive computational resources for any but the simplest of problems. In this talk we discuss the importance of model framework testing in these longer-term circumstances and provide examples of tests from several recent publications. We further suggest that for these long-term systems, the design and performance of such tests are essential for the responsible development of model frameworks, are critical for models of these environmental systems to provide enduring insights, and are one of the most important uses of high performance computing in natural resource evaluation.
}}{{Keynote-clinics
| name = Raleigh Hood
| affiliation = University of Maryland
| participants =
| title = Modeling Chesapeake Bay
| abstract =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.
}}{{Keynote-clinics
| name = Ehab Meselhe
| affiliation = The Water Institute of the Gulf
| participants =
| title = Coastal Eco-System Integrated Compartment Model (ICM)
| abstract =The Integrated Compartment Model (ICM) is a comprehensive and computationally efficient numerical tool that can be used to provide insights about coastal ecosystems and evaluate restoration and protection strategies. It includes physical and ecological processes, such as, hydrology, nutrients, vegetation, and morphology. The ICM can be used to estimate the individual and cumulative effects of restoration projects or strategies on the landscape and ecosystem and the level of impact/risk to communities. The ICM utilizes habitat suitability indices (HSIs) to predict broad spatial patterns of habitat change. It also provides input parameters to a more dynamic fish and shellfish community models to quantitatively predict potential changes in important fishery resources in the future.<br><br>The model is also used to examine the impact of climate change and future environmental scenarios (e.g. precipitation, Eustatic sea level rise, subsidence, nutrient loading, riverine runoff, storms, etc.) on the landscape and on the effectiveness of restoration or protection strategies.<br><br> The ICM is publically accessible code and research groups in the coastal ecosystem restoration and protection field are encouraged to explore its utility as a computationally efficient tool to examine ecosystems’ response to physical or ecological changes either due to future projections or to the implementation of restoration strategies.
}}{{Keynote-clinics
| name = Jean-Arthur Olive
| affiliation = MIT / WHOI Joint Program in Oceanography
| participants =
| title = Modes of extensional faulting controlled by surface processes
| abstract = Jean-Arthur Olive, Mark D. Behn, and Luca C. Malatesta <br><br>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.
}}{{Keynote-clinics
| name = Nick Cohn
| affiliation = Oregon State University
| participants =
| title = Towards assessing the coastal zone as an integrated system: the development of a coupled nearshore and aeolian dune model
| abstract = N. Cohn, E.B. Goldstein, P. Ruggiero, L. J. Moore, O. Duran, J.A. Roelvink, B. Hoonhout<br><br> Coastal environments are complex because of the interplay between aeolian and nearshore processes. Waves, currents, tides, and winds drive significant short term (<weekly) changes to coastal landforms which augment longer term (> annual) geomorphic trends. Great strides have been made in recent years regarding our ability to model coastal geomorphic change in this range of societally relevant time scales. However, a great disparity exists in modeling coastal evolution because subaqueous and subaerial processes are typically assessed completely independent of one another. By neglecting the co-evolution of subtidal and supratidal regions within our current framework, we are precluded from fully capturing non-linear dynamics of these complex systems. This has implications for predicting coastal change during both fair weather and storm conditions, hindering our ability to answer important scientific questions related to coastal vulnerability and beach building.<br><br>Recognizing these historic limitations, here we present the outline for a coupled subaqueous (XBeach) and subaerial (Coastal Dune Model) morphodynamic modeling system that is in active development with the goal of exploring coastal co-evolution on daily to decadal timescales. Furthermore we present recently collected datasets of beach and dune morphology in the Pacific Northwest US that will be used to validate trends observed within the coupled model platform.
}}{{Keynote-clinics
| name = Jennifer Glaubius
| affiliation = University of Kansas
| participants =
| title = Coupled Human and Natural Systems: Testing the Impact of Agricultural Terraces on Landscape Evolution
| abstract =Jennifer E. Glaubius and Xingong Li<br><br>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.
}}
}}
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<!--* '''April 15<sup>th</sup>: Extended deadline for abstract submission & registration-->
<!--* '''April 15<sup>th</sup>: Extended deadline for abstract submission & registration-->
The meeting includes: 1) State-of-the art keynote presentations in earth-surface dynamics and modeling; 2) Hands-on clinics related to community models, tools and approaches; 3) Transformative software products and approaches designed to be accessible, easy to use, and relevant; 4) Breakout sessions for Working, Focus Research Groups and the Initiatives ; 5) Poster Sessions; and more.
Poster Information: The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2016.
Participants
Interested to see who registered for the meeting as of 06/21/2025?
Within its budget, CSDMS intends to support member applicants to attend the annual meeting. Towards this goal, we encourage members to fully or partially cover their expenses if capable. We additionally thank those in the industry and agency fields for understanding that 1) we cannot compensate federal agency participants since our own funding is from NSF, and 2) we request that our industrial/ corporate participants cover their own costs thereby allowing more academic participants to attend.
To the extent possible, CSDMS intends to reimburse the registration fee, lodging (shared rooms at 100% and single rooms at 50% at Millennium Harvest House Hotel), and a limited amount of travel expenses of qualified registrants - those members who have attended all three days of the meeting and are not industry or federal employees.
Important for foreign travelers requesting reimbursement: If you need a visa to travel to USA, select a business visa. If you need an invitation letter, please email csdms@colorado.edu as soon as possible. Also indicate whether specific wording is required in the letter. Second, we will need to copy the entry stamp in your passport sometime during the meeting as proof that you were here on business as required by US tax laws for reimbursement (especially when dealing with airfare.) We are only able to provide reimbursement for airfare within the U.S. All airfare that is being reimbursed must be for airlines that are U.S. flag carriers.
Submission for the student scholarships is closed. We will express who will receive the scholarship to all who applied shortly.
This year CSDMS is offering a limited number of scholarships (up to 12) for graduate students to attend the CSDMS annual meeting. Three scholarships will be offered for the purpose of increasing participation of underrepresented students.
To be eligible, graduate students need to meet the following requirements:
Attend the whole meeting (May 17-19, 2016)
Submit an abstract
Be enrolled as a graduate student at the time of the meeting (bring proof)
Submit a letter of motivation that states why you wish to participate in the meeting, and explain how your participation would enhance diversity in the field of surface dynamics modeling.
The CSDMS scholarships will cover:
Registration costs
Travel (air fare ONLY within the United States and local transport)
Per diem to help reimburse the cost of meals from 17-19 May 2016 not offered in the conference schedule
Important dates
January 15th: Registration opens
March 1st: Deadline for student scholarship applications
April 1st: Deadline for abstract submission & registration
May 17-19th: CSDMS annual meeting
May 20th: CSDMS Executive and Steering committees meeting (by invitation only)
