AGU2016-CSDMS

CSDMS sessions at AGU fall meeting

CSDMS annual meeting 2014 Uncertainty and Sensitivity in Surface Dynamics Modeling took place May 20-22, 2014 in Boulder Colorado. One of the outcomes was a special issue of Computers & Geosciences, volume 90 part B, ISSN 0098-3004, published April, 2016. Below is an overview of the papers with their abstracts.
We would like to thank all authors as well as the reviewers for their effort!

CSDMS sponsored AGU sessions

Moving Down the Chain - Studying Earth Surface Processes Using Computational Fluid Dynamics Approaches Across Scales Conveners: Tian-Jian Hsu, Scott Peckham, Eckart Meiburg, Xiaofeng Liu

Related to CSDMS group: Cyberinformatics and Numerics Working Group Modeling the dynamics of surface processes, e.g., the movement of fluids, and the flux of sediment and solutes requires a multi-scale approach. From a sand grain to regional scales, computational fluid dynamics (CFD) is a vital tool in the understanding of competing mechanisms, their interactions as well as accurate predictions. CFD has been applied to understand processes relevant to geomorphology and sediment source to sink, such as sedimentation, resuspension and turbidity currents. A grand challenge, e.g., as has been addressed by the Community Surface Dynamics Modeling System (CSDMS), is to effectively integrate key processes of different scales through parameterizations, model coupling, adaptive mesh refinement, and assimilative methodology. The purpose of this session is to get together researchers who use CFD to tackle earth surface processes. Particularly, we welcome abstracts addressing how model development and applications at different scales can collectively improve our physical understanding and prediction of earth surface processes. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Advances in Integration of Earth System Dynamics and Social System Models Conveners: Kimberly G Rogers, Isaac Ullah, Albert J. Kettner, Mark D.A. Rounsevell

Related to CSDMS group: Human Dimensions Focus Research Group The dynamics of the Earth’s atmosphere, geosphere and biosphere are increasingly affected by human activities. At the same time, the outcome of these dynamics significantly impact human decisions and societies. Process models improve our ability to simulate how our planet is shaped, but have typically considered humans as exogenous to the Earth system. We know, however, that complex bidirectional feedbacks between human and natural processes greatly affect the system and the people inhabiting it. We invite contributions presenting diverse, interdisciplinary examples that push the boundaries of coupled social and biogeophysical modeling. We encourage both numerical and conceptual models, including socio-ecological and socio-hydrologic systems, integrated assessment, agent-based approaches, dynamic networks, and social informatics. These may address successes and challenges arising from scaling local processes to global dynamics, time lags, socio-natural feedbacks, disentangling complexity, multi-scalar problems, and emergent properties produced by coupled social-biogeophysical models. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Connecting Geodynamics and Surface Processes: Theoretical and Field-Based Approaches Conveners: Phaedra Upton, Samual Roy, Jean-Arthur L. Olive, Claude Malatesta

Related to CSDMS group: Geodynamics Focus Research Group Understanding the feedbacks between solid-Earth deformation, surface processes and landscape evolution requires a process-based approach that integrates observations and models across all spatial and temporal scales. The Earth’s surface is a dynamic interface that evolves through the influence of tectonic and geomorphic drivers. Changes in tectonic forcings generally have spectacular geomorphological consequences. In turn, processes of surface erosion and transport can alter the near-surface stress field and influence fault evolution, uplift/subsidence patterns and surface heat flow. These mechanisms feed back on topography, and thus on the activity of geomorphic agents. This session sets out to explore current research into coupled problems of geomorphology, surface processes and geodynamics. We welcome contributions utilizing a combination of field, experimental, analytical and numerical approaches. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Earth surface modeling for education: adaptation, successes, and challenges Conveners: Wei Luo, Mariela C. Perignon, Peter N. Adams, Carol J. Ormand

Related to CSDMS group: Education and Knowledge Transfer (EKT) Working Group Earth's surface is the ever-changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. Surface dynamics models (SDMs) enable researchers to predict the movement of water and the flux of sediment and solutes in the environment. SDMs can also help students understand complicated surface processes and their interactions by exploring different scenarios and observing the associated outcomes. In addition, modeling exposes students to quantitative analysis and associated uncertainty, which are critical skills to master. However, for SDMs to be useful for education (especially at the undergraduate level), simplifications and adaptations are necessary. Furthermore, the efficacy of SDMs in enhancing students’ learning should be documented with classroom assessment statistics. The proposed session aims to bring together researchers/educators to discuss the latest efforts in adapting SDMs for educational purposes, successes as demonstrated by classroom use, and challenges and issues to be addressed in the future. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Bridging Boundaries in Surface Dynamics of Estuarine, Coastal, and Marine Systems using Models, Laboratory Studies, and Observations Conveners: Courtney K. Harris, Raleigh R. Hood, A. Brad Murray, Patricia Wiberg

Related to CSDMS group: Coastal Working Group Marine Working Group Chesapeake Focus Research Group Researchers investigating morphodynamics and transport in specific environments increasingly must consider impacts of neighboring domains, either as parts of an integrated system or as boundary conditions or forcing. This is especially true along continental margins, where the coastline, continental shelf, and estuaries themselves mark boundaries between terrestrial, fluvial, and oceanic domains; and experience feedbacks with atmospheric systems. Understanding coastal systems depends on observational and lab studies that bridge spatial or disciplinary divides to characterize interactions of system components and fluxes across geographic boundaries. Advances in numerical modeling have also facilitated such transdisciplinary research through model coupling and nesting, e.g., Community Surface Dynamics Modeling System (CSDMS) provides tools for combining modeling approaches for system components. This session highlights coastal-system research that explores processes and feedbacks across traditional disciplinary and environmental boundaries. Observational, laboratory, and modeling studies bridging spatial domains, or interdisciplinary studies that blend physical, chemical, and biological processes are welcome. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Modeling the Terrestrial Landscape Conveners: Gregory E. Tucker, Nicole M. Gasparini, Erkan Istanbulluoglu

Related to CSDMS group: Terrestrial Working Group This session explores computational models for earth-surface processes, and data sets that can be used to test them. Models for a wide variety of terrestrial systems, including geomorphic, hydrologic, biogeochemical, fluvial, sedimentary, eolian, cryospheric, ecologic, and morphotectonic, continue to advance in both explanatory power and sophistication. We welcome contributions that deal with the various facets of models and model-data comparison: creating and exploring new models and concepts, comparing models with data sets, new data sets that demand better models, community modeling projects that foster connection and collaboration, novel computational algorithms, new data that challenge current models, models that capture (or fail to capture) the essence of a particular pattern or phenomenon, models that explore a previously underappreciated process or feedback, and beyond. Especially encouraged are studies that examine the coupling between processes and/or domains, as enabled for example by advances such as the Community Surface Dynamics Modeling System’s model-coupling technology. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Advancing Decision Making techniques and environmental future projections to better address and reduce uncertainty Conveners: Albert J. Kettner, David Groves, Joseph R. Kasprzyk, Mary C. Hill

Related to CSDMS group: Hydrology Focus Research Group Management of coupled natural-human systems increasingly focused on building resilience in coupled natural-human systems to climate change and other severe stressors. Supporting numerical projections the natural-human coupled systems, including hydrology, can be at best considered deeply uncertain. Although scenario-based planning is helpful in creating narratives of plausible futures for such systems, decision makers do not know or cannot agree on the full suite of risks in the system. This session welcomes advances in bottom-up, robust decision making approaches and contributions on state of the art numerical methods to estimate hydrological future projections: (i) methodological advances in decision making and other bottom-up approaches, especially relating to combating climate change, (ii) interdisciplinary case studies that include stakeholder engagement, (iii) uncertainty quantification approaches to support decision making, (iv) advances in quantifying changes in freshwater availability and hydrological extremes (both droughts and floods), and (v) new methods for evaluating uncertainties in hydrological projections. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]

Modeling Benthic Sedimentary Ecosystems under Ocean Acidification Conveners: Christopher J. Jenkins, Donald C. Potts

Related to CSDMS group: Carbonate Focus Research Group A session focusing on dissolution of skeletal carbonates and derived sediments under ocean acidification. It is in response to recently published papers arguing for better understanding of the carbonate substrates / grounds that seawater interacts with. The session covers shallow- and deep-water ocean areas. Dissolution affects carbonate grains and frameworks differently depending on location, exposure, mineralogy, biologic factors, and aspects like porosity and sediment turnover rates. The availability of materials for dissolution over coming decades and centuries affects projections of ocean CO2 uptake and the pH response. We seek papers on models that integrate benthic population ecology, structural integrity of coral reefs, the role of seawater saturation states, carbonate sediment ecosystems, seafloor physical properties, ocean acidification, and dissolution rates and effects. Papers showing a transdisciplinary approach (e.g. within the Community Surface Dynamics Modeling System, CSDMS), combining observational and modeling fields, or with novel computing methods are especially welcome. Session ID: {{{AGU-id1}}}. {{{session_info1}}}: [{{{URL1}}} {{{URL1}}}] Session ID: {{{AGU-id2}}}. {{{session_info2}}}: [{{{URL2}}} {{{URL2}}}] Session ID: {{{AGU-id3}}}. {{{session_info3}}}: [{{{URL3}}} {{{URL3}}}]