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<noinclude>__NOEDITSECTION__<center>__NOTOC__<span style="font-size:2.5em;">CSDMS 2014 Annual Meeting<br>Uncertainty and Sensitivity in Surface Dynamics Modeling</span><br>
<noinclude>__NOEDITSECTION__<center><span style="font-size:2.5em;">__NOTOC__The joint 2016 CSDMS - SEN<sup>*</sup> Annual Meeting<br>'''Capturing Climate Change'''</span><br><br>
<span style="font-size:2.0em;">May 20 - 22, 2014, Boulder Colorado, USA</span><br>
<span style="font-size:1.8em;">May 17 -19<sup>th</sup> 2016, Boulder Colorado, USA</span><br>
</center><br><br>
</center><br><br>
<span style="font-size:1.5em;">''Optional May 23<sup>rd</sup>: [[Code-bootcamp2014|Post-meeting Software Bootcamp]]'' (<small>Registration for bootcamp is full</small>)<br><br>
<span style="font-size:1.2em;"><font color="red">Optional:</font> May 16<sup>th</sup> 2016, [[Form:CSDMS_annual_meeting#Pre-conference one-day Software Carpentry bootcamp|pre-conference bootcamp]]<br></span><br>
<font color="red">Deadline abstract submission & registration extended till April 14<sup>th</sup></font></span>
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{{#ifexist:User:{{CURRENTUSER}}|::{{#show:User:{{CURRENTUSER}} |? First name member}}, continue<br>with '''step 2'''|
::<span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:CSDMS_annual_meeting }} Log in]</span> (<font size="0.6">or [[Special:RequestAccount | create account]] for non-CSDMS members</font>) <font color="gray" size="0.6"><br>Forgot username? <span class="plainlinks">[http://csdms.colorado.edu/wiki/Search_username Search]</span> or email:[mailto:CSDMSweb@colorado.edu CSDMSweb@colorado.edu]</font>}}
::<span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:CSDMS_annual_meeting }} Log in]</span> (<font size="0.6">or [[Special:RequestAccount | create account]] for non-CSDMS members</font>) <font color="gray" size="0.6"><br>Forgot username? <span class="plainlinks">[https://csdms.colorado.edu/wiki/Search_username Search]</span> or email:[mailto:CSDMSweb@colorado.edu CSDMSweb@colorado.edu]</font>}}
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::<big>'''Step 3'''</big>:
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::::* '''Pay registration fee ($200)'''<br>
::::* '''Academia or Government, registration fee: $200''' ''(After April 1st: $300)''<br>
<!--::::* '''or $240 when including Post-meeting Software Bootcamp--><br><font color="gray" size="0.6">''Third party website''</font>
::::* '''Industry, registration fee: $1,500 ''' ''(After April 1st: $1,600)''<br>
::::* '''Add $30 when joining pre-conference bootcamp'''<br><font color="gray" size="0.6">''Third party website''</font>
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::<span class="plainlinks">[[image:Pay_button.png|link=https://www.regonline.com/csdmsmeeting2014]]</span>
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Note 2: <font color="gray">Do you want to make changes to you abstract?</font>
Note 2: <font color="gray">Do you want to make changes to you abstract?</font>
# <span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:CSDMS_annual_meeting }} Log in].</span><font color="gray">
# <span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:CSDMS_annual_meeting }} Log in].</span><font color="gray">
#  Select your registration record in "[[CSDMS_meeting_2014_participant_list|participants]]" and start making changes by clicking "''Edit registration''"</font>.  
#  Select your registration record in "[[CSDMS_meeting_2015_participant_list|participants]]" and start making changes by clicking "''Edit registration''"</font>.  
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=Objectives and general description=
=Objectives and general description=
<div style="float:right;">{{#Widget:Meetinggallery2}}</div>
The joint CSDMS - SEN'''<sup>*</sup>''' 2016 annual meeting will focus on “advances in simulating the imprint of climate change on the land and seascapes, including the processes that influence them”. We would like presentations to either focus on the impacts of present and future climate change, or how climate change has impacted the earth in the past. Topics of interests also include modeling research that integrate different disciplines, different scales, and the synergy between models and experimental data. As in past meetings, keynote speakers are by invitation only, and poster presentations are the general media.
The CSDMS Meeting 2014 will bring '''Uncertainty and Sensitivity in Surface Dynamics Modeling''' to your attention.<br>
The meeting will include:
# ''State-of-the art keynote presentations'' in earth-surface dynamics and modeling
# ''Hands-on clinics'' related to community models, tools and approaches
# ''Transformative software products and approaches'' designed to be accessible, easy to use, and relevant
# ''Breakout sessions for Working, Focus Research Groups and the Initiatives''
# ''Poster Sessions''
and more!<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 15, 2016.<br><br>


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.<br><br>
<!--=Announcements=
''Poster Information'': The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2014.<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>
<br>
#* WMT and the Dakota iterative systems toolkit<br>
 
#* Exploring the influence of fault damage and fault slip on the patterns and rates of fluvial incision using CHILD and Matlab<br>
 
#* Modeling Coastal Sediment Transport Using OpenFOAM®<br>
==Invited Keynote speakers==
#* Coastline Evolution Model (CEM)<br>
#* Wrapping Existing Models with the Basic Modeling Interface<br>
#* Bringing CSDMS Models into the Classroom<br>
# Live streaming of meeting:
#* The keynote talks of this meeting will be available live online through one of the following links: http://www.fin.ucar.edu/it/mms/cg-live.htm, or http://ucarconnect.ucar.edu/live#.VVTV2NNVhHw
#* See the agenda below to plan which keynote talk you would like to follow. Time is presented as Mountain Standard Time (or UTC−07hrs).  
-->
=Agenda=
Click [[Media:2016_Annual_Meeting_Draft_Agenda_1.0.pdf|here]] to view the draft agenda of 12/29/2015.
<br><br>
==Keynote Speakers==
As of now:<br>
{{Keynote-clinics
| name = Jean Braun
| affiliation = Institut des Sciences de la Terre, Universitaire de Grenoble
| participants =  
| title = Links Between Mantle Convection, Tectonics, Erosion and Climate: Recent Model Developments and Results
| abstract = Plate tectonics is the primary process controlling the Earth’s surface topography. In recent years, geodynamicists have emphasised the role that deep mantle flow may play in directly creating long wavelength, low amplitude topography (a so-called “dynamic” contribution to surface topography). In parallel, geomorphologists have investigated how surface processes (erosion, transport and sedimentation) may affect dynamic topography, with the aim of better understanding its signature in the geological record. To achieve this, we have developed a new class of surface processes models that represent the combined effects of physical erosion and chemical alteration within continental interiors. In developing these models, we have paid much attention to maintaining high efficiency and stability such that they could be used to model large continental areas with sufficient spatial resolution to represent the processes at the appropriate scale. I will briefly present these algorithms as well as the results of two separate studies in which we explain the anomalously rapid erosion of surface material during the passage of a continent over a fixed source of dynamic topography driven by upward flow in the mantle. I will also comment on how these models are strongly dependent on precipitation patterns and, ultimately, will need to be fully coupled to climate models to provide more meaningful constraints on the past evolution of surface topography. <br>
}}
{{Keynote-clinics
| name = Enrique Curchitser
| affiliation = Institute of Marine and Coastal Sciences, Rutgers University
| participants =  
| title = draft - Multi-Scale Modeling of Ocean Boundary Currents
| abstract =
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Tom Hsu
| name = Mark Rounsevell
| affiliation = University of Delaware
| affiliation = University of Edinburgh
| title = Understanding wave-driven fine sediment transport through 3D turbulence resolving simulations – implications to offshore delivery of fine sediment
| participants =  
| abstract = Tian-Jian Hsu (Tom), Associate Professor<br />Center for Applied Coastal Research, Civil & Environmental Engineering<br />University of Delaware, Newark, DE 19716, USA<br /><br />One of the most intriguing issues in fine sediment transport, including turbidity currents, current-driven transport and wave-driven transport, is that the presence of sediments may significantly attenuate flow turbulence. Depending on the level of turbulence suppression, it may lead to the formation of lutocline (a sharp negative gradient of sediment concentration) which further encourages offshore-directed gravity flow; or it may cause catastrophic collapse of turbulence and sediment deposition. Through idealized 3D turbulence-resolving simulations of fine sediment (mud) transport in wave bottom boundary layer based on a pseudo-spectral scheme, our recent studies show that the transition of these flow modes can be caused by various degree of sediment-induced stable density stratification. This effort demonstrates the success of using a turbulence-resolving simulation tool to diagnose complex fine sediment transport processes. This talk further reports our recent development of this turbulence-resolving numerical model with a goal to provide a predictive tool for more realistic fine sediment transport applications.<br /><br />Assuming a small Stokes number (St<0.3), which is appropriate for typical fine sediment, the Equilibrium approximation to the Eulerian two-phase flow equations is applied. The resulting simplified equations are solved with a high-accuracy hybrid spectral-compact finite difference scheme. The numerical approach extends the earlier pseudo-spectral model with a sixth-order compact finite difference scheme in the bed-normal direction. The compact finite difference scheme allows easy implementation of flow-dependent sediment properties and complex bottom boundary conditions. Hence, several new capabilities are included in the numerical simulation, such as rheological stress (enhance viscosity in high sediment concentration), hindered settling, erodible/depositional bottom boundary, and higher order inertia terms critical for fine sand fraction.<br /><br />In the past decade, the role of wave bottom boundary layer in delivering fine sediment offshore via wave-supported gravity current (WSGC) has been well-recognized. We hypothesize that the generation, transport and termination of WSGC is directly associated with the flow modes discussed previously. In addition to the well-known Richardson number control (i.e., associated with sediment-induced density stratification), in this talk we will discuss how enhanced viscosity via rheological stress and high erodibility of the mud bed (e.g., low critical shear stress for unconsolidated mud bed) can trigger catastrophic collapse of turbulence and sediment deposition. The significance of bed erodibility in determining the resulting flow modes motivates future study regarding the effect of sand fraction on fine sediment transport via armoring.
| title = draft - Integrative assessment modeling and Climate Change
 
}}{{Keynote-clinics
| name = Jim McElwaine
| affiliation = Durham University (UK)
| title = The Dynamics of Granular Flows
| abstract = Professor of Geohazards<br /><br />Department of Earth Sciences<br /><br />Durham University UK<br /><br />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.
}}{{Keynote-clinics
| name = Alexey Voinov
| affiliation = Faculty of Geo-Information Science and Earth Observation (ITC)
| title = Exploring climate mitigation and low-carbon transitions: new challenges for model integration
| abstract = Alexey Voinov<br />University of Twente, Netherlands<br />aavoinov@gmail.com<br /><br />There are various visions of our future, but most policy-makers and scientists agree that life will be substantially different in the post-fossil era.  The cheap and abundant supply of fossil energy has led to unprecedented population growth and to staggering levels of consumption of natural resources, undermining the carrying capacity of nature.  Eroding ecosystems, the end of cheap oil and climate change call for new policies to support societal transformations toward low-carbon alternative futures. This understanding has already been expressed in recent EU legislation, which requires that domestic GHG emissions be cut by 80% between 1990 and 2050. Energy is a major driver of change and an important ‘currency’ that runs economic and social systems and influences environmental systems.  Being so used to the abundant and uninterrupted supply of fossil energy, we tend to forget the important role that it plays in our everyday lives.  Non-marginal, abrupt changes, such as during the Oil Crisis of the 1970s or the sudden sharp rise in oil prices in 2008 remind us how vulnerable societies are with respect to energy.  Future transitions and climate induced changes are also unlikely to be smooth and require new modeling paradigms and methods that can handle step-change dynamics and work across a wide range of spatio-temporal scales, integrating the knowledge of many stakeholder communities.<br /><br />Here we are operating in a generalized ‘socio-environmental model space’, which includes empirical models, conceptual stakeholder models, complex computer simulations, and data sets, and which can be characterized in several dimensions, such as model complexity, spatial and temporal resolution, disciplinary coverage, bias and focus, sensitivity and uncertainty, usability and relevance. In this space we need a ‘model calculus’ – a set of relationships and operations that can apply to individual models and groups of models. Model integration across disciplinary boundaries faces two big challenges.  First we need to learn to deal with a variety of modeling paradigms and techniques, allowing different types of models to exchange information in a meaningful way (agent based models talk to systems dynamics, to computed global equilibrium models, to empirical models, etc.).  Secondly, we need to provide integration techniques and tools that bring qualitative, conceptual, mental models of stakeholders together with the quantitative simulation models.<br /><br />Greater transparency and accessibility can be achieved through enhancing documentation and communication of model functioning and strengths and limitations of various models and approaches. This extensive model documentation following improved and enhanced meta model standards is an important first step that makes sure that models (both qualitative and conceptual) ‘talk the same language’ and can exchange information and knowledge at various stages of research.  This also helps us create the ontology, which can be further used for computer aided semantic mediation of models. This semantic mediation should include such functionality as consistency checks (checking for units, concepts, spatio-temporal resolution, etc.). This should also help to explore the different models along the complexity continuum to understand how information from more aggregated qualitative models can be transmitted to more elaborated and detailed quantitative simulations, and vice versa. This bears the promise of insight on the complex behavior of non-linear systems where regime shifts and non-equilibrium dynamics is usually better understood with simple models, while the more complicated models are easier to parametrize with data and can take into account more detailed information about particular systems and situations. 
}}{{Keynote-clinics
| name = Peter Koons
| affiliation = University of Maine
| title = Unifying Tectonics and Surface Processes in Geodynamics
| abstract =  Unifying Tectonics & Surface Processes in Geodynamics<br /><br />Peter Koons, Univ Maine, Earth and Climate Science Orono Maine, United States. peter.koons@maine.edu<br /><br />Phaedra Upton, GNS , new zealand. p.upton@gns.cri.nz<br /><br />Samuel Roy, U Mainel Earth and Climate Science Orono Maine, United States. sgroy27@gmail.com<br /><br />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.
}}{{Keynote-clinics
| name = Elowyn Yager
| affiliation = Center for Ecohydraulics, University of Idaho
| title = Predictions of bedload transport in vegetated channels: uncertainties and steps forward
| abstract = Vegetation in river channels and on floodplains alters mean flow conditions, turbulence, sediment transport rates and local sedimentation patterns.  Although many advances have been made to predict the impact of vegetation on flow conditions, relatively few studies have investigated how vegetation influences bedload fluxes.  We first investigate how known vegetation impacts on flow turbulence can be used to better predict bedload transport and sedimentation within vegetation patches.  To elucidate these mechanics we measured 2D velocity fields using PIV and bedload fluxes using high-speed video in simplified flume experiments.  We used these laboratory measurements to test and develop bedload transport equations for vegetated conditions.  Bedload transport equations did not accurately predict sediment fluxes unless they accounted for the spatial variability in the near-bed Reynolds stress.  We then use this patch scale understanding to better predict how vegetation impacts channel morphology.  Specifically, we investigate how vegetation influences point bar growth and shape through coupled laboratory experiments and 2D numerical modeling.  We measured bedload fluxes, flow conditions and sedimentation rates on a point bar planted with natural vegetation at the Saint Anthony Falls Outdoor Stream Lab.  We then calculated the detailed 2D flow field over the point bar throughout imposed flow hydrographs. Our results demonstrate that vegetation caused significant changes in the bar dimensions and depending on the flow level, led to the development of a side channel between the bar and the inner bank of the meander.  Such a side channel could precipitate a change in channel morphology to a multi-thread channel.  Accurate predictions of sedimentation caused by vegetation patches not only require an estimate of the spatial variation in shear stress (or velocity) within a patch but also how the vegetation alters the adjacent flow field and bedload sediment supply to the patch. 
}}{{Keynote-clinics
| name = David Pyles
| affiliation = Chevron Center of Research Excellence, Colorado School of Mines
| title = Testing the efficacy and uncertainty of outcrop- and model-based studies through collaboration:  A field geologist’s perspective
| abstract =David R. Pyles<br />Chevron Center of Research Excellence<br />Department of Geology and Geological Engineering<br />Colorado School of Mines<br />Golden, Colorado<br /><br />Recent technological advances in data collection techniques have yielded opportunities to better quantify stratigraphic stacking patterns, flow processes and sedimentation from outcrops of ancient sediment transport systems. These advancements created opportunities for field geologists to reduce uncertainty in the interpretation of the stratigraphic record and have likewise created data sets from which the efficacy of numerical models and physical experiments can be evaluated. The goals of this presentation are to (1) review some combined outcrop-model based studies, (2) discuss how these integrated studies test model and field-based uncertainty, and (3) share a vision for how field geologists and modelers can leverage from each other’s perspectives.<br /><br />Five examples of studies that bridged the gap between outcrop stratigraphy and experimental and/or numerical models include: (1) documentation of how mineralogy varies spatially in submarine fans, (2) relating flow processes to sedimentation in sinuous submarine channels, (3) evaluating compensational stacking in deltas and submarine fans, (4) relating stratigraphic architecture of deltas to inherited water depth and seafloor gradient, and (5) testing how shelf-edge deltas pipe coarse-grained sediment to submarine fans. These and similarly focused studies are important because they used common workflows and quantitative methods to evaluate similarities and differences between modeled and natural systems, resulting in a more complete view of the processes and products being studied. Whereas common workflows can provide a means to test the efficacy of physical and numerical modeling, it is critical to consider how modeling sheds insight into how one interprets the stratigraphic record from outcrop and subsurface data sets. 
 
}}{{Keynote-clinics
| name = Eric Larour
| affiliation = Jet Propulsion Laboratory
| title = Towards better quantifications of the uncertainty in polar ice-sheet projections using the open source framework ISSM
| abstract = Eric Larour, Jet Propulsion Laboratory Pasadena California, United States<br /><br />Helene Seroussi, Jet Propulsion Laboratory Pasadena California, United States. <br /><br />Mathieu Morlighem, University of California at Irvine Irvine California, United States. <br /><br />Eric Rignot, University of California at Irvine Irvine California, United States. <br /><br />Nicole Schlegel, Jet Propulsion Laboratory Pasadena California, United States<br /><br />Understanding and modeling the evolution of continental ice sheets such as Antarctica and Greenland can be a difficult task because a lot of the inputs used in transient ice flow models, either inferred from satellite or in-situ observations, carry large measurement errors that will propagate forward and impact projection assessments. Here, we aim at comprehensively quantifying error margins on model diagnostics such as mass outflux at the grounding line, maximum surface velocity and overall ice-sheet volume, applied to major outlet glaciers in Antarctica and Greenland. Our analysis relies on uncertainty quantification methods implemented in the Ice Sheet System Model (ISSM), developed at the Jet Propulsion Laboratory in collaboration with the University of California at Irvine. We focus in particular on sensitivity analysis to try and understand the local influence of specific inputs on model results, and sampling analysis to quantify error margins on model diagnostics. Our results demonstrate the expected influence of measurement errors in surface altimetry, bedrock position and basal friction
}}{{Keynote-clinics
| name = Mick van der Wegen
| affiliation = UNESCO-IHE
| title = How to quantify uncertainty in morphodynamics model predictions
| abstract =  
| abstract =  
}}{{Keynote-clinics
}}
| name = Rebecca Caldwell
{{Keynote-clinics
| affiliation = Indiana University
| name = Wonsuck Kim
| title = A numerical modeling study of the effects of sediment properties on deltaic processes and morphology
| affiliation = University of Texas
| abstract = Rebecca L. Caldwell and Douglas A. Edmonds, Department of Geological Sciences, Indiana University, Bloomington, Indiana, USA.<br /><br />We use numerical modeling to explain how deltaic processes and morphology are controlled by properties of the sediment input to the delta apex.  We conducted 36 numerical experiments of delta formation varying the following sediment properties: median grain size, grain-size distribution shape, and percent cohesive sediment.  As the dominant grain size increases deltas undergo a morphological transition from elongate with few channels to semi-circular with many channels.  This transition occurs because the critical shear stress for erosion and the settling velocity of grains in transport set both the number of channel mouths on the delta and the dominant delta-building process.  Together, the number of channel mouths and dominant process – channel avulsion, mouth bar growth, or levee growth – set the delta morphology.  Coarse-grained, non-cohesive deltas have many channels that are dominated by avulsion, creating semi-circular planforms with relatively smooth delta fronts.  Intermediate-grained deltas have many channels that are dominated by mouth bar growth, creating semi-circular planforms with bifurcated channel networks and rugose delta fronts.  Fine-grained, cohesive deltas have a few channels, the majority of which are dominated by levee growth, creating elongate planforms with smooth delta fronts.  The process-based model presented here provides a previously lacking mechanistic understanding of the effects of sediment properties on delta channel network and planform morphology.
| participants =  
}}{{Keynote-clinics
| title = draft - Sediment Experimentalists Network Activities and Future Direction
| name = Mariela Perignon
| affiliation = University of Colorado
| title = Predicting the influence of floodplain vegetation on the geomorphic effects of large floods
| abstract = The spatial distribution of vegetation along the banks and floodplains of a river can drastically affect its geomorphic response to large floods. Plants influence sediment transport dynamics and the resulting patterns of erosion and deposition by steering the flow, changing the scale and intensity of turbulence, and increasing the effective cohesiveness of surface material. Efficiently simulating these interactions over river reaches requires simplifying the small-scale processes into measurable parameters that can reproduce the large-scale behavior of the system.<br /><br />We present simulations of the evolution of the morphology of vegetated, mobile sand-bed rivers during this flows that were obtained by coupling the existing hydrodynamic model ANUGA with modules for sediment transport and vegetation. This model captures the effects of vegetation on mean flow velocity by treating plant stems as cylinders of specified diameter and spacing and calculating the drag they impart on the flow.<br /><br />The outputs of this model were tested against a well-constrained natural experiment to determine the accuracy of the model predictions. Multi-temporal airborne lidar datasets capture the topographic change that occurred along a 12-km reach of the Rio Puerco, New Mexico, as a result of a large flood in 2006. The magnitude of deposition on the floodplain was found to correlate with vegetation density as well as distance from the primary sediment source. This relationship is reproduced by the model using only the simplest drag formulation. The local variability in deposit thickness was seen to depend strongly on the dominant species present, suggesting that plant-scale processes are reflected in the patch-scale behavior of the system. This indicates a need for more complex parameters that reflect the changes in turbulent energy and shear stress that result from different plant characteristics.
}}{{Keynote-clinics
| name = Attila Lazar 
| affiliation = University of Southampton
| title = Coupling terrestrial and marine biophysical processes with livelihood dynamics for analysis of poverty alleviation in Bangladesh
| abstract =A.N. Lazar, R. J. Nicholls, C. Hutton, H. Adams, M.M. Rahman, M. Salehin, D. Clarke, A.R. Akanda, J. A. Dearing, Judith Wolf5, P.K. Streatfield<br /><br />1 Faculty of Engineering and Environment, University of Southampton, University Road, Southampton, Hampshire, United Kingdom, SO17 1BJ. a.lazar@soton.ac.uk<br />2 College of Life and Environmental Sciences, University of Exeter, Prince of Wales Road, Exeter,Devon United Kingdom, EX4 4SB<br />3 Bangladesh University of Engineering & Technology, Dhaka-1000, Bangladesh<br />4 Bangladesh Agriculture Research Institute, Joydebpur, Gazipur-1701, Bangladesh<br />5 National Oceanography Centre, Brownlow Street, Liverpool, L3 5DA, United Kingdom<br />6 International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka-1000, Bangladesh<br /><br />Summary<br />Food security and poverty in Bangladesh are very dependent on natural resources, which fluctuate with a changing environment. The ecosystem services supporting the rural population are affected by several factors including climate change, upstream river flow modifications, commercial fish catches in the Bay of Bengal, and governance interventions. The ESPA Deltas project aims to holistically describe the interaction between the interlinked bio-physical environment and the livelihoods of the rural poorest in coastal Bangladesh, who are highly dependent on natural resources and live generally on less than US$1.50 per day. Here we describe a new integrated model that allows a long-term analysis of the possible changes in this system by linking projected changes in physical processes (e.g. river flows, nutrients), with productivity (e.g. fish, rice), social processes (e.g. access, property rights, migration) and governance (e.g. fisheries, agriculture, water and land use management). Bayesian Networks and Bayesian Processes allow multidisciplinary integration and exploration of specific scenarios. This integrated approach is designed to provide Bangladeshi policy makers with science-based evidence of possible development trajectories. This includes the likely robustness of different governance options on natural resource conservation and poverty levels. Early results highlight the far reaching implications of sustainable resource use and international cooperation to secure livelihoods and ensure a sustainable environment in coastal Bangladesh.
}}{{Keynote-clinics
| name = Rudy Slingerland
| affiliation = Penn State
| title = The FESD Delta Dynamics Modeling Collaboratory: A Progress Report
| abstract =  
| abstract =  
}}{{Keynote-clinics
| name = Andrew Nicholas
| affiliation = University of Exeter
| title = Modelling the evolution of large river floodplains
| abstract = Floodplain construction involves the interplay between channel belt sedimentation and avulsion, overbank deposition of fines, and sediment reworking by channel migration. There has been considerable progress in numerical modelling of these processes over the past few years, for example, by using high resolution flow and sediment transport models to simulate river morphodynamics, albeit over relatively small time and space scales. Such spatially-distributed hydrodynamic models are also regularly used to simulate floodplain inundation and overbank sedimentation during individual floods. However, most existing models of long-term floodplain construction and alluvial architecture do not account for flood hydraulics explicitly. Instead, floodplain sedimentation is typically modelled as an exponential function of distance from the river, and avulsion thresholds are defined using topographic indices (e.g., lateral:downstream slope ratios or metrics of channel belt super-elevation). This presentation aims to provide an overview of these issues, and present results from a hydrodynamically-driven model of long-term floodplain evolution. This model combines a simple network-based model of channel migration with a 2D grid-based model of flood hydrodynamics and overbank sedimentation. The latter involves a finite volume solution of the shallow water equations and an advection-diffusion model for suspended sediment transport. Simulation results are compared with observations from several large lowland floodplains, and the model is used to explore hydrodynamic controls on long-term floodplain evolution and alluvial ridge construction.
}}{{Keynote-clinics
| name = Ajay Limaye
| affiliation = California Institute of Technology
| title = A vector-based method for bank-material tracking in coupled models of meandering and landscape evolution
| abstract = Sinuous channels commonly migrate laterally and interact with banks of different strengths—an interplay that links geomorphology and life, and shapes diverse landscapes from the seafloor to planetary surfaces. To investigate feedbacks between meandering rivers and landscapes over geomorphic timescales, numerical models typically represent bank properties using structured or unstructured grids. Grid-based models, however, implicitly include unintended thresholds for bank migration that can control simulated landscape evolution. I will present a vector-based approach to land surface- and subsurface-material tracking that overcomes the resolution-dependence inherent in grid-based techniques by allowing high-fidelity representation of bank-material properties for curvilinear banks and low channel lateral migration rates. The vector-based technique is flexible for tracking evolving topography and stratigraphy to different environments, including aggrading floodplains and mixed bedrock-alluvial river valleys. Because of its geometric flexibility, the vector-based material tracking approach provides new opportunities for exploring the co-evolution of meandering rivers and surrounding landscapes over geologic timescales.
}}
}}
<br>
{{Keynote-clinics
| name = Jean-Francois Lamarque
| affiliation = National Center for Atmospheric Research
| participants =
| title = draft - Community Earth System Model
| abstract =
}}
{{Keynote-clinics
| name = Nikki Lovenduski
| affiliation = Department of Atmospheric and Ocean Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder
| participants =
| title = Ocean Carbon Uptake and Acidification: Can We Predict the Future?
| abstract = The oceans have absorbed a large fraction of anthropogenic carbon dioxide emissions, having consequences for ocean biogeochemistry and ecosystems via ocean acidification.  Simulations with Earth System Models can be used to predict the future evolution of ocean carbon uptake and acidification in the coming decades and beyond, but there is substantial uncertainty in these model predictions, particularly on regional scales.  Such uncertainty challenges decision makers faced with protecting the future health of ocean ecosystems.  Uncertainty can be separated into three component parts: (1) uncertainty due to internal variability, (2) uncertainty due to model structure, and (3) uncertainty due to emission scenario. Here, we isolate and quantify the evolution of these three sources of prediction uncertainty in ocean carbon uptake over the next century using output from two sets of ensembles from the Community Earth System Model (CESM) along with output from models participating in the Fifth Coupled Model Intercomparison Project (CMIP5).  We find that the three sources of prediction uncertainty in ocean carbon uptake are not constant, but instead vary with prediction lead time and the scale of spatial averaging.  In order to provide valuable predictions to decision makers, we should invest in reducing the main sources of uncertainty.  <br>
}}
{{Keynote-clinics
| name = Bette Otto-Blisner
| affiliation = NCAR
| participants =
| title = Draft: Continental Modeling
| abstract =
}}
{{Keynote-clinics
| name = Jon Pelletier
| affiliation = University of Arizona
| participants =
| title = Modeling the Impact of Vegetation Changes on Erosion Rates and Landscape Evolution
| abstract = 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. 
}}
{{Keynote-clinics
| name = Zach Tessler
| affiliation = Environmental CrossRoads Initiative, CUNY Advanced Science Research Center
| participants =
| title = From Relative Sea Level Rise to Coastal Risk: Estimating Contemporary and Future Flood Risk in Deltas
| abstract = Deltas are highly sensitive to local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes.  In this talk, I’ll discuss a recently developed risk framework for estimating the sensitivity of deltas to relative sea level rise, and the expected impact on flood risk. We apply this framework to an integrated set of global environmental, geophysical, and social indicators over 48 major deltas to quantify how delta flood risk due to extreme events is changing over time.  Although geophysical and relative sea-level rise derived risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product–enabled infrastructure and coastal defense investments. However, when investments do not address the long-term drivers of land subsidence and relative sea-level rise, overall risk can be very sensitive to changes in protective capability. For instance, we show how in an energy-constrained future scenario, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. This suggests that the current emphasis on short-term solutions on the world’s deltas will greatly constrain options for designing sustainable solutions in the long term.
}}
{{Keynote-clinics
| name = Don Deangelis
| affiliation = USGS
| participants =
| title = Ecological Applications of Agent Based Models
| abstract =
}}<!---->


==Clinic Invitees==
==Clinic Leaders==
===Tuesday (1<sup>st</sup> day)===
{{Keynote-clinics
| name = Irina Overeem & Mark Piper
| affiliation = CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
| participants =
| title = Using TopoFlow in the classroom
| abstract = TopoFlow is a spatially distributed hydrologic model that includes meteorology, snow melt, evapotranspiration, infiltration and flow routing components. It can model many different physical processes in a watershed with the goal of accurately predicting how various hydrologic variables will evolve in time in response to climatic forcings. In the past year, CSDMS IF staff integrated TopoFlow into the CSDMS Web Modeling Tool (WMT, https://csdms.colorado.edu/wmt) and developed new lesson plans for use with it.<br><br>The first part of this clinic focuses on the technical aspects of working with TopoFlow in WMT, including how to: load and couple components, get information on a component, set parameters, upload data files, save a model, and run a model. We’ll discuss features of the TopoFlow implementation in WMT, and explain choices that were made in bringing TopoFlow to the web.<br><br>In the second part of the clinic, we’ll focus on science and education. We will run several TopoFlow simulations on the CSDMS HPCC through WMT. Participants will explore parameter settings, submit runs, and view netCDF output using NASA’s Panoply tool. <br><br>The learning outcomes of this clinic are to have better insight into the behavior of TopoFlow components, and the implementation of these in WMT. Participants will learn how to do TopoFlow model runs, and will have access to TopoFlow online labs and teaching resources lesson plans.
}}
{{Keynote-clinics
| name = Ehab Mesehle & Eric White
| affiliation = The Water Institute of the Gulf
| participants =
| title = Coastal Ecosystem Integrated Compartment Model (ICM): Modeling Framework
| abstract = The Integrated Compartment Model (ICM) was developed as part of the 2017 Coastal Master Plan modeling effort. It is a comprehensive and numerical hydrodynamic model coupled to various geophysical process models. Simplifying assumptions related to some of the flow dynamics are applied to increase the computational efficiency of the model.  The model can be used to provide insights about coastal ecosystems and evaluate restoration strategies. It builds on existing tools where possible and incorporates newly developed tools where necessary. It can perform decadal simulations (~ 50 years) across the entire Louisiana coast. It includes several improvements over the approach used to support the 2012 Master Plan, such as: additional processes in the hydrology, vegetation, wetland and barrier island morphology subroutines, increased spatial resolution, and integration of previously disparate models into a single modeling framework. The ICM includes habitat suitability indices (HSIs) to predict broad spatial patterns of habitat change, and it provides an additional integration to a dynamic fish and shellfish community model which quantitatively predicts potential changes in important fishery resources. It can be used to estimate the individual and cumulative effects of restoration and protection projects on the landscape, including a general estimate of water levels associated with flooding. The ICM is also used to examine possible impacts of climate change and future environmental scenarios (e.g. precipitation, Eustatic sea level rise, subsidence, tropical storms, etc.) on the landscape and on the effectiveness of restoration projects. The ICM code is publically accessible, and coastal restoration and protection groups interested in planning-level modeling are encouraged to explore its utility as a computationally efficient tool to examine ecosystem response to future physical or ecological changes, including the implementation of restoration and protection strategies.
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Fotis Sotiropoulos
| name = Mary Hill
| affiliation = University of Minnesota
| affiliation = University of Kansas
| title = The SAFL Virtual StreamLab (VSL3D): High Resolution Simulation of Turbulent Flow, Sediment Transport, and Morphodynamics in Waterways
| participants =  
| abstract = Ali Khosronejad and Fotis Sotiropoulos<br />St, Anthony Falls Laboratory and Department of Civil Engineering<br />University of Minnesota <br />Minneapolis, MN<br />fotis@umn.edu<br /><br />The St. Anthony Falls Laboratory Virtual StreamLab (VSL3D) is a powerful multi-resolution and multi-physics Computational Fluid Dynamics (CFD) model for simulating 3D, unsteady, turbulent flows and sediment transport processes in real-life streams and rivers with arbitrarily complex structures, such as man-made hydraulic structures, woody debris, and even hydrokinetic turbine arrays.  The code can handle arbitrarily complex geometry of waterways and embedded structures using novel immersed boundary strategies.  Turbulence can be handled either via Reynolds-averaged Navier-Stokes (RANS) turbulence models or via large-eddy simulation (LES) coupled with wall models.  Free-surface effects are simulated using a level-set, two-phase flow approach, which can capture complex free-surface phenomena, including hydraulic jumps, over arbitrarily complex bathymetry.  A fully-coupled hydro-morphodynamic module has also been developed for simulating bedload and suspended load sediment transport in meandering rivers.  A novel dual time-stepping quasi-synchronized approach has been developed to decouple the flow and sediment transport time scales, enabling efficient simulations of morphodynamic phenomena with long time scales, such as dune migration in rivers.    The  code is parallelized using MPI.  This clinic will present a comphrehensive overview of the VSL3D, report extensive grid sensivity and validation studies with experimental data, and present a series of applications, including: 1) LES and unsteady RANS of turbulent flow and scalar transport in natural meandering streams; 2) LES of sand wave growth and evolution in a laboratory scale flume; 2) unsteady RANS of dune formation and migration in large scale meandering rivers with in stream rock structures (rock vanes, j-hooks, w-weirs, etc.); 3) LES of free-surface flows in natural and enginnered open channels; and 4) LES of gravity currents.<br /><br />Representative references about the VSL3D code<br /><br />1. Khosronejad, A., Hill, C., Kang, S., and Sotiropoulos, F., “Computational and Experimental Investigation of Scour Past Laboratory Models of Stream Restoration Rock Structures,” Advances in Water Resources, Volume 54, Pages 191–207, 2013.<br /><br />2. Kang, S., and Sotiropoulos, F., “Assessing the predictive capabilities of isotropic, eddy-viscosity Reynolds-averaged turbulence models in a natural-like meandering channel,” Water Resources Research, Volume: 48, Article Number: W06505, DOI: 10.1029/2011WR011375, 2012. <br /><br />3. Kang, S., Khosronejad, A., and Sotiropoulos, F., “Numerical simulation of turbulent flow and sediment transport processes in arbitrarily complex waterways,” Environmental Fluid Mechanics, Memorial Volume in Honor of Prof. Gerhard H. Jirka, Eds. W. Rodi & M Uhlmann, CRC Press (Taylor and Francis group), pp. 123-151, 2012.<br /><br />4. Kang, S., and Sotiropoulos, F., “Numerical modeling of 3D turbulent free surface flow in natural waterways,” Advances in Water Resources, Volume: 40, Pages: 23-36, DOI: 10.1016/j.advwatres.2012.01.012, 2012. <br /><br />5. Kang, S., and Sotiropoulos, F., “Flow phenomena and mechanisms in a field-scale experimental meandering channel with a pool-riffle sequence: Insights gained via numerical simulation,” Journal of Geophysical Research – Earth Surface, Volume: 116, Article Number: F03011  DOI: 10.1029/2010JF001814  Published: AUG 20 2011.<br /><br />6. Khosronejad, A., Kang, S., Borazjani, I., and Sotiropoulos, F., “Curvilinear Immersed Boundary Method For Simulating Coupled Flow and Bed Morphodynamic Interactions due to Sediment Transport Phenomena,” Advances in Water Resources, Volume: 34, Issue: 7, Pages: 829-843  DOI: 10.1016/j.advwatres.2011.02.017, Published: JUL 2011. <br /><br />7. Kang, S., Lightbody, A., Hill, C., and Sotiropoulos, F., “High-resolution numerical simulation of turbulence in natural waterways,” Advances in Water Resources, Volume 34, Issue 1, January 2011, Pages 98-113.
| title = MODFLOW: Example applications and what we can learn from this amazingly successful piece of environmental modeling software.
 
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Greg Tucker & Daniel Hobley
| name = Scott Peckham and Allen Pope, University of Colorado, Boulder
| affiliation = CIRES
| affiliation = USC, ISI
| title = Creative computing with Landlab: A flexible Python package for rapidly building and exploring 2D surface-dynamics models
| participants =
| abstract = Daniel E. J. Hobley(Daniel.hobley@colorado.edu)(2), Jordan M. Adams(2), Nicole M. Gasparini(2), Eric Hutton(3), Erkan Istanbulluoglu(4), Sai Siddhartha(4), Gregory E. Tucker(1)<br /><br />1. CIRES and Department of Geological Sciences, University of Colorado, Boulder, CO, USA<br />2. Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA<br />3. Community Surface Dynamics Modeling System (CSDMS), University of Colorado, CO, USA<br />4. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA<br /><br />Computer models help us explore the consequences of scientific hypotheses at a level of precision and quantification that is impossible for our unaided minds. The process of writing and debugging the necessary code is often time-consuming, however, and this cost can inhibit progress. The code-development barrier can be especially problematic when a field is rapidly unearthing new data and new ideas, as is presently the case in surface dynamics.<br /><br />To help meet the need for rapid, flexible model development, we have written a prototype software framework for two-dimensional numerical modeling of planetary surface processes. The Landlab software can be used to develop new models from scratch, to create models from existing components, or a combination of the two. Landlab provides a gridding module that allows you to create and configure a model grid in just a few lines of code. Grids can be regular or unstructured, and can readily be used to implement staggered-grid numerical solutions to equations for various types of geophysical flow. The gridding module provides built-in functions for common numerical operations, such as calculating gradients and integrating fluxes around the perimeter of cells. Landlab is written in Python, a high-level language that enables rapid code development and takes advantage of a wealth of libraries for scientific computing and graphical output. Landlab also provides a framework for assembling new models from combinations of pre-built components.<br /><br />In this clinic we introduce Landlab and its capabilities. We emphasize in particular its flexibility, and the speed with which new models can be developed under its framework. In particular, we will introduce the many tools available within Landlab that make development of new functionality and new descriptions of physical processes both easy and fast. Participants will finish the clinic with all the knowledge necessary to build, run and visualize 2D models of various types of earth surface systems using Landlab.
| title = Geoscience Paper of the Future: Training Session on Best Practices for Publishing Your Research Products
 
| abstract = The Geoscience Paper of the Future (GPF) Initiative was created to encourage geoscientists to publish papers together with their associated digital research products following best practices of reproducible articles, open science, and digital scholarship. A GPF includes: 1) Data available in a public repository, including metadata, a license specifying conditions of use, and a citation using a unique and persistent identifier; 2) Software available in a public repository, with documentation, a license for reuse, and a unique and citable using a persistent identifier; 3) Provenance of the results by explicitly describing method steps and their outcome in a workflow sketch, a formal workflow, or a provenance record. Learn to write a GPF and submit to a special section of AGU’s Earth and Space Sciences Journal. More at http://www.ontosoft.org/gpf/.
}}
}}
===Wednesday (2<sup>nd</sup> day)===
{{Keynote-clinics
{{Keynote-clinics
| name = Eunseo Choi
| name = Wonsuck Kim
| affiliation = University of Memphis
| affiliation = The University of Texas at Austin
| title = SNAC: A 3D parallel explicit finite element code for long-term lithospheric deformation modeling
| participants =
| abstract = Eunseo Choi<br />echoi2@memphis.edu<br />Center for Earthquake Research and Information, University of Memphis<br /><br />SNAC (StGermaiN Analysis of Continua) is a 3D parallel explicit finite element code for modeling long-term deformations of lithosphere. It is an open source being distributed through Computational Infrastructure for Geodynamics (http://geodynamics.org/cig/software/snac/) as well as through CSDMS web site (http://csdms.colorado.edu/wiki/Model:SNAC).<br /><br />This clinic will provide an overview of SNAC and lead participants through a typical work procedure for producing a 3D lithospheric deformation model on a high performance cluster. Specifically, participants will take the following steps: 0) acquiring an account on the CSDMS HPC (to be done before the clinic); 1) checking out the source code through a version control system; 2) building SNAC on the cluster; 3) getting familiar with SNAC by running a cookbook example in parallel and visualizing outputs; 4) modifying the source codes to customize a model.
| title = SEN
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Courtney Harris
| name = Eric Hutton & Mark Piper
| affiliation = VIMS
| affiliation = CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
| title = Regional Ocean Modeling System (ROMS)
| participants =
| abstract =  
| title = BMI: Live!
| abstract = CSDMS has developed the Basic Model Interface (BMI) to simplify the conversion of an existing model in C, C++, Fortran, Java, or Python into a reusable, plug-and-play component. By design, the BMI functions are straightforward to implement. However, in practice, the devil is in the details.<br><br>In this hands-on clinic, we will take a model -- in this case, an implementation of the two-dimensional heat equation in Python -- and together, we will write the BMI functions to transform it into a component. As we develop, we’ll unit test our component with nose, and we’ll explore how to use the component with a Jupyter Notebook. Optionally, we can set up a GitHub repository to store and to track changes to the code we write.<br><br>To get the most out of this clinic, come prepared to code! We have a lot to write in the time allotted. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you skim:<br><br>&#10501; BMI description (https://csdms.colorado.edu/wiki/BMI_Description)<br>&#10501; BMI documentation (http://bmi-forum.readthedocs.org/en/latest)<br><br>before participating in the clinic.
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Chris Jenkins
| name = Courtney Harris, Julia Moriarty & Irina Overeem and Eric Hutton
| affiliation = INSTAAR
| affiliation = VIMS & Univ. of Colorado
| title = Carbonate Models Clinic - carbo* suite
| participants =
| abstract = Chris Jenkins, Peter Burgess, Donald Potts<br /><br>The carbo* set of modules use Lotka-Volterra population ecology, hydrodynamics, mesoscale simulators, an organism knowledge base (OKB), and habitat suitability indexes to model benthic carbonate production. The modeling covers coral reef, Halimeda and maerl, oyster, deep-water coral and bryozoan facies but can be extended to other types using the OKB. Recently the creation of rubble bioclasts has been addressed by modeling bioerosion, skeleton breakage, water column turbulence statistics, and clast ballistic trajectories in extreme weather.<br /><br> Model runs are initiated for modern situations by automatically gathering data from global database and remote sensed resources such as MODIS AQUA, World Ocean Atlas, WaveWatch, GEBCO. Idealized scenarios – from paleogeography - can also be constructed and submitted for modeling. Time spans of up to 10,000 years have been run, using a burst technique with annual time-stepping. Seasonal stepping for shorter time span is also possible. The model outputs include profiles of organism biofacies, accumulation geometries, (1m3) ‘block of rock’ fabric & porosity models for generated materials, and 3D and animated mappings of the sediment facies.<br /><br>The clinic will go through a typical setup and run, with some variations within the group. One of the modeled areas will be Molokai, Hawaii. Participants on the day will receive a copy of the software. Images of recent outputs are shown at [http://instaar.colorado.edu/~jenkinsc/carboClinic2014/carboClinicImages2014.htm http://instaar.colorado.edu/~jenkinsc/carboClinic2014/carboClinicImages2014.htm]. Future developments will be discussed, particularly integration with terrigenous sediment and suspendate models, and nutrient loadings.  
| title = Regional Ocean Modeling System (ROMS): An introductory web-based model implementation
 
| abstract = Participants in this clinic will learn how to run a Regional Ocean Modeling System (ROMS) test case for an idealized continental shelf model domain within the CSDMS Web Modeling Toolkit (WMT). The model implementation that we will use includes wave forcing, a riverine source, suspended sediment transport.<br><br>ROMS is an open source, three-dimensional primitive equation hydrodynamic ocean model that uses a structured curvilinear horizontal grid and a stretched terrain following vertical grid. For more information see https://www.myroms.org. It currently has more than 4,000 registered users, and the full model includes modules for sediment transport and biogeochemistry, and several options for turbulence closures and numerical schemes. In part because ROMS was designed to provide flexibility for the choice of model parameterizations and processes, and to run in parallel, implementing the code can seem daunting, but in this clinic, we will present an idealized ROMS model that can be run on the CSDMS cluster via the WMT. One goal is to provide a relatively easy introduction to the numerical modeling process that can be used within upper level undergraduate and graduate classes to explore sediment transport on continental shelves.<br><br>As a group, we will run an idealized ROMS model on the CSDMS computer, Beach. The group will choose a modification to the standard model. While the modified model runs, we will explore methods for visualizing model output. Participants who have access to WMT can run the model themselves. Clinic participants who have access to Matlab and/or Panoply will be able to browse model output files during the clinic.<br><br>Following the clinic, participants should have access to an example ROMS model run, experience running ROMS within the WMT and with ROMS input and output files, and. ROMS lesson plans.
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Laura Swiler
| name = Zheyu Zhou, Xiaofeng Liu & Tom Hsu
| affiliation = Sandia National Laboratories
| affiliation = Univ. Delaware, Penn State, Univ. Delaware,
| title = Dakota:  A Toolkit for Sensitivity Analysis, Uncertainty Quantification, and Calibration
| participants =
| abstract = Dakota is an open-source toolkit with several types of algorithms, including sensitivity analysis (SA), uncertainty quantification (UQ), optimization, and parameter calibration.  Dakota provides a flexible, extensible interface between computational simulation codes and iterative analysis methods such as UQ and SA methods.  Dakota has been designed to run on high-performance computing platforms and handles a variety of parallelism.  In this clinic, we will provide an overview of Dakota algorithms, specifically focusing on uncertainty quantification (including various types of sampling, reliability analysis, stochastic expansion, and epistemic methods), sensitivity analysis (including variance-based decomposition methods and design of experiments), and parameter calibration (including nonlinear least squares and Bayesian methods).  The tutorial will provide an overview of the methods and discuss how to use them.  In addition, we will briefly cover how to interface your simulation code to Dakota.
| title = Modeling coastal processes using OpenFOAM
| abstract =
}}
}}
===Thursday (3<sup>rd</sup> day)===
{{Keynote-clinics
{{Keynote-clinics
| name = Mark Piper & Irina Overeem
| name = Greg Tucker
| affiliation = CSDMS
| affiliation = CIRES, Univ. of Colorado
| title = WMT: The CSDMS Web Modeling Tool
| participants =
| abstract =Mark Piper, Eric Hutton and Irina Overeem, CSDMS Integration Facility Boulder Colorado, United States<br>(mark.piper@colorado.edu)<br /><br />The CSDMS Web Modeling Tool (WMT) is the web-based successor to the desktop Component Modeling Tool (CMT). WMT presents a drag-and-drop interface that allows users to build and run coupled surface dynamics models from a web browser on a desktop, laptop or tablet computer.<br /><br>With WMT, a user can:<br>&#149; Design a coupled model from a list of available components<br>&#149; Edit the parameters of the model components<br>&#149; Save the coupled model to a server, where it can be accessed from any computer<br>&#149; Set run parameters, including the computer/cluster on which to run the model<br>&#149; Share saved modeling projects with others in the community<br>&#149; Submit jobs to the high-performance computing system<br><br>Although WMT is web-based, the building and configuration of a model can be done offline. The user can then reconnect to save a model and submit it for a run.<br />In this clinic we present an overview of WMT, including an explanation of the user interface, a listing of the currently available models and a discussion of how models can be run in operational mode or in reduced-input mode for teaching. We cap the clinic with a live demonstration of setting up, saving and running a coupled model on the CSDMS supercomputer system. 
| title = LandLab
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Scott Peckham
| name = --
| affiliation = University of Colorado
| affiliation =  
| title = Introduction to the Basic Model Interface and CSDMS Standard Names
| participants =
| abstract = In order to simplify conversion of an existing model to a reusable, plug-and-play model component, CSDMS has developed a simple interface called the Basic Model Interface or BMI that model developers are asked to implement.  In this context, an interface is a named set of functions with prescribed function names, argument types and return types.  By design, the BMI functions are straightforward to implement in any of the languages supported by CSDMS, which include C, C++, Fortran (all years), Java and Python.  Also by design, the BMI functions are noninvasive.  A BMI-compliant model does not make any calls to CSDMS components or tools and is not modified to use CSDMS data structures. BMI therefore introduces no dependencies into a model and the model can still be used in a "stand-alone" manner.  Any model that provides the BMI functions can be easily converted to a CSDMS plug-and-play component that has a CSDMS Component Model Interface or CMI.<br><br>Once a BMI-enabled model has been wrapped by CSDMS staff to become a CSDMS component, it automatically gains many new capabilities. This includes the ability to be coupled to other models even if their (1) programming language, (2) variable names, (3) variable units, (4) time-stepping scheme or (5) computational grid is different. It also gains (1) the ability to write output variables to standardized NetCDF files, (2) a "tabbed-dialog" graphical user interface (GUI), (3) a standardized HTML help page and (4) the ability to run within the CSDMS Modeling Tool (CMT).<br><br>This clinic will explain the key concepts of BMI, with step-by-step examples.  It will also include an overview of the new CSDMS Standard Names, which provide a standard way to map input and output variable names between component models as part of BMI implementation.  Participants are encouraged to read the associated CSDMS wiki pages in advance and bring model code with specific questions. See<br>1) BMI Page:  [[BMI_Description]]<br>2) Standard Names Page:  [[CSDMS_Standard_Names]] 
| title = Numpy
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Monte Lunacek
| name = Wei Luo
| affiliation = University of Colorado
| affiliation = Northern Illinois University
| title = Interactive Data Analysis with Python
| participants =
| abstract = Recent additions to Python have made it an increasingly popular language for data analysis. In particular, the pandas library provides an R-like data-fame in Python, which is data structure that resembles a spreadsheet. This provides an efficient way to load, slice, reshape, query, summarize, and visualize your data. Combining this with numpy, maplotlib, and scikit-learn creates a powerful set of tools for data analysis. In this hands-on tutorial, we will cover the basics of numpy, matplotlib, pandas, and introduce scikit-learn.
| title = WILSIM as EKT tool
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Joshua Watts
| name = Randy LeVeque
| affiliation = Arizona State University
| affiliation = University of Washington, Seattle
| title = Agent-Based Modeling Research: Topics, Tools, and Methods
| participants =
| abstract =Agent-Based Modeling (ABM) or Individual-Based Modeling is a research method rapidly increasing in popularity -- particularly among social scientists and ecologists interested in using simulation techniques to better understand the emergence of interesting system-wide patterns from simple behaviors and interactions at the individual scale. ABM researchers frequently partner with other scientists on a wide variety of topics related to coupled natural and human systems. Human societies impact (and are impacted by) various earth systems across a wide range of spatial and temporal scales, and ABM is a very useful tool for better understanding the effect of individual and social decision-making on various surface processes. The clinic will focus on introducing the basic toolkit needed to understand and pursue ABM research, and consider how ABM work differs from other computational modeling approaches. The clinic: - Will explore examples of the kinds of research questions and topics suited to ABM methods. - Will (attempt to) define some key concepts relevant to ABM research, such as emergence, social networks, social dilemmas, and complex adaptive systems. - Will provide an introduction to ABM platforms, particularly focused on NetLogo. - Discuss approaches to verification, validation, and scale dependency in the ABM world. - Introduce the Pattern-Oriented Modeling approach to ABM. - Discuss issues with reporting ABM research (ODD specification, model publishing). - Brainstorm tips and tricks for working with social scientists on ABM research.  
| title = GeoClaw Software for Depth Average Flow
| abstract = GeoClaw (http://www.geoclaw.org) is an open-source software package for solving two-dimensional depth-averaged equations over general topography using high-resolution finite volume methods and adaptive mesh refinement. Wetting-and-drying algorithms allow modeling inundation or overland flows. The primary applications where GeoClaw has been used are tsunami modeling and storm surge, although it has also been applied to dam break floods and it forms the basis for the debris flow and landslide code D-Claw under development at the USGS Cascades Volcano Observatory.<br><br>This tutorial will give an introduction to setting up a tsunami modeling problem in GeoClaw including:<br>&#10501; Overview of capabilities,<br>&#10501; Installing the software,<br>&#10501; Using Python tools provided in GeoClaw to acquire and work with topography datasets and earthquake source models,<br>&#10501; Setting run-time parameters, including specifying adaptive refinement regions,<br>&#10501; Options to output snapshots of the solution or maximum flow depths, arrival times, etc.<br>&#10501; The VisClaw plotting software to visualize results using Python tools or display on Google Earth.<br><br>GeoClaw is distributed as part of Clawpack (http://www.clawpack.org), and available via the CSDMS model repository. Those who wish to install the software in advance on laptops, please see http://www.clawpack.org/installing.html.
}}
}}
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=Participants=
=Participants=
Interested to see who registered for the meeting?
Interested to see who registered for the meeting as of {{#time: m/d/Y|now}}?
*[[CSDMS_meeting_2014_participant_list|Participants]]
*[[CSDMS_meeting_2015_participant_list|Participants meeting]]
*[[CSDMS_meeting_2014_abstract_list|Submitted abstracts]]
*[[CSDMS_meeting_2015_abstract_list|Submitted abstracts]]
<br>
<br>
*[[CSDMS_pre-meeting_bootcamp|Participants bootcamp]] May 16<sup>th</sup>
<br><br>


=Reimbursement =
=Reimbursement =
[[File:4878178960_fe558ee9b0_o_TEDxBoulder.jpg|right]]
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.   
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.
To the extent possible, CSDMS intends to reimburse the registration fee, lodging (shared rooms at 100% and single rooms at 50% at conference hotels), and a limited amount of travel expenses for qualified registrants - those members who will attend all three days of the meeting and are not industry or federal employees.
 
Registration fee, lodging and possible additional travel costs for the one day Post-meeting Software Bootcamp will not be reimbursed.


'''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 [mailto:csdms@colorado.edu csdms@colorado.edu]  soonest. 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.   
'''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 [mailto:csdms@colorado.edu 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.   
<br><br>
<br><br>


=Travel, Lodging and Conference Center Information=
=Travel, Lodging and Conference Center Information=
The meeting will be held at [http://www2.ucar.edu/campus/center-green-campus UCAR Conference Center]<br>
The meeting will be held at [http://www.colorado.edu/supportcu/sustainability-energy-and-environment-complex/find-us SEEC]<br>
Lodging for meeting participants is at the [http://www.millenniumhotels.com/millenniumboulder/index.html Millennium Harvest House Hotel]<br>
Hotel: [http://www.millenniumhotels.com/usa/millenniumboulder/  Millennium Harvest House Hotel] <br>
Please visit the [[Contact_us|CSDMS contact page]] for advice on ways to reach Boulder from the Denver Airport.
Transportation:
You can book transportation between DIA and Boulder here: [http://greenrideco3.hudsonltd.net/res?USERIDENTRY=CSDMS&LOGON=GO Green Ride Boulder]. And information on how to find [[Media:Counter_location_Verbiage_from_Customs.pdf|Green Ride Boulder at DIA]].<br>
We will provide a bus between the hotels and the meeting venue each day. We will also provide transportation to the banquet.
<br><br>
<br><br>


=Student Scholarships=
=Pre-conference one-day Software Carpentry bootcamp=
''Note: <font color="gray">Scholarship submissions closed. For those who applied, we will reveal soon if you won a student scholarship''.</font>
<div style="float:right;">[[File:Boots.gif | 200px ]]</div>CSDMS will host a Pre-conference one-day [http://software-carpentry.org/ Software Carpentry bootcamp] on Monday May 16<sup>th</sup>, 2016. The objective is to teach basic programming skills that will be useful for scientific computing and model development. This is an intensive, hands-on workshop, during which certified instructors will cover basic elements of:
<!--This year CSDMS offers a limited number of scholarships (up to 10) for graduate students to attend the CSDMS annual meeting. To be eligible, graduate students need to meet the following requirements:
# the Unix bash shell,
* Attend the whole meeting (20-22 May 2014)
# Python programming and NumPy, and
* Submit an abstract
# Github for version control.
* Be enrolled as a graduate student at the time of the meeting (bring proof)
Our instructors are earth scientists and have familiarity with the CSDMS framework, such that lessons and examples will be targeted toward relevant problems in your field. The bootcamp intentionally precedes the CSDMS meeting, so the skills participants develop should be useful in the clinics during the meeting.
* Submit a letter of motivation that states why you wish to participate in the meeting


The CSDMS scholarships will cover:  
'''Note:'''
* Registration costs
* Registration is open till April 1<sup>st</sup> (or until program fill) and is handled through the 2016 meeting site.<br>
* Travel (air fare ''ONLY'' within the United States and local transport)
* The bootcamp is capped at 30 participants (first paid first serve), and it has a $30 registration fee.
* Per diem to help reimburse the cost of meals from 20-22 May 2014 not offered in the conference schedule
* Participant will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
* We will cover coffee and lunch during the bootcamp.
'''To be considered, scholarship applications must be sent to Lauren Borkowski: [mailto:csdms@colorado.edu csdms@colorado.edu] before March 1<sup>st</sup>, 2014.'''-->
<br><br>
<br><br>
 
=Student Scholarships (two options)=
'''CSDMS'''<br>
: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
'''SEN'''<br>
:The Sediment Experimentalist Network (SEN) is sponsoring a data-utilization contest for graduate-student and early-career geoscience modelers who feel passionate about advancing science through experimental data sharing and reuse. The top four winners of the data-utilization contest will have all travel and registration costs paid for.
:To apply:
:* Please check the box during registration to indicate that you are applying for the SEN travel grant.
:* Send your application materials (proposal, professional biography) to sedimentexp@gmail.com by April 1, 2016.
:* Full instructions for the [http://sedimentexperiments.blogspot.com/2016/01/sen-csdms-travel-grant-contest.html travel grant application are available here].<br><br>
=Important dates=
=Important dates=
* '''February 1<sup>st</sup>''': Registration opens
* '''January 15<sup>th</sup>''': Registration opens
* '''March 1<sup>st</sup>''': Deadline student scholarship applications
* '''March 1<sup>st</sup>''': Deadline for student scholarship applications
* <font color="red">'''April 14<sup>th</sup>'''</font>: Deadline abstract submission & registration ''(extended)''
* '''April 1<sup>st</sup>''': Deadline for abstract submission & early registration
* '''May 20-22<sup>th</sup>''': CSDMS annual meeting
* '''May 10<sup>th</sup>''': Deadline late registration. ''Notice additional costs do apply.''
* '''May 23<sup>rd</sup>''': Post-meeting Software Bootcamp
<!--* '''April 15<sup>th</sup>: Extended deadline for abstract submission & registration-->
* '''May 23<sup>rd</sup>''': CSDMS Executive and Steering committees meeting (''by invitation only'')
* '''May 16<sup>th</sup>''': <font color="red">Optional</font>: pre-conference bootcamp
* '''May 17-19<sup>th</sup>''': CSDMS annual meeting
* '''May 20<sup>th</sup>''': CSDMS Executive and Steering committees meeting (''by invitation only'')


<center>[[image:CSDMS_high_res_weblogo.jpg|300px]][[image:SEN-logo.jpeg|300px]]</center>
'''<sup>*</sup>'''  ''The Sediment Experimentalist Network (SEN) integrates the efforts of sediment experimentalists to build a knowledge base for guidance on best practices for data collection and management. The network facilitates cross-institutional collaborative experiments and communicates with the research community about data and metadata guidelines for sediment-based experiments. This effort aims to improve the efficiency and transparency of sedimentary research for field geologists and modelers as well as experimentalists.''
</noinclude><includeonly>
</noinclude><includeonly>
{{{info|page name=Abstract 2014 CSDMS meeting-<unique number;start=001>}}}
{{{info|page name=Abstract 2016 jointed SEN-CSDMS meeting-<unique number;start=001>}}}
<div id="wikiPreview" style="display: none; padding-bottom: 25px; margin-bottom: 25px; border-bottom: 1px solid #AAAAAA;"></div>
<div id="wikiPreview" style="display: none; padding-bottom: 25px; margin-bottom: 25px; border-bottom: 1px solid #AAAAAA;"></div>
{{{standard input|free text|hidden|preload=Template:CSDMS_meeting_2013_pay_template}}}
{{{standard input|free text|hidden|preload=Template:CSDMS_meeting_2013_pay_template}}}
== Registration form of {{BASEPAGENAME}} ==
== Registration form ==
<center><big>CSDMS Meeting 2014<br> '''Uncertainty and Sensitivity in Surface Dynamics Modeling'''</big></center><br><br>
<center><big>Joint CSDMS - SEN Meeting 2016<br> '''Capturing Climate Change'''</big></center><br><br>
{|style="width:900px;"
{|style="width:900px;"
|All submitted registrations will be reviewed by a CSDMS program committee. <br>
|All submitted registrations will be reviewed by a CSDMS program committee. <br>
Line 249: Line 306:
|
|
|-
|-
|Please direct all inquiries to Lauren Borkowski: [mailto:csdms@colorado.edu csdms@colorado.edu] with subject title: "CSDMS Meeting 2014"
|Please direct all inquiries to Lynn McCready: [mailto:csdms@colorado.edu csdms@colorado.edu] with subject title: "Joint CSDMS - SEN Meeting 2016"
|}<br><br>
|}<br><br>
__NOTOC__
__NOTOC__
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{{{for template|CSDMS meeting personal information template-2014}}}
{{{for template|CSDMS meeting personal information template-2014}}}
{| class="formtable"
{| class="formtable"
| valign=top style="width:400px;"|First name:
| valign=top style="width:300px;"|First name:
| valign=top | {{{field|CSDMS meeting first name|mandatory|input type=combobox|values from property=First name member}}}
| valign=top | {{{field|CSDMS meeting first name|mandatory|input type=combobox|values from property=First name member}}}
|-
|-
| valign=top style="width:400px;"|Last name:
| valign=top style="width:300px;"|Last name:
| valign=top | {{{field|CSDMS meeting last name|mandatory|input type=combobox|values from property=Last name member|size=35}}}
| valign=top | {{{field|CSDMS meeting last name|mandatory|input type=combobox|values from property=Last name member|size=35}}}
|-
|-
| valign=top |Organization:
| valign=top |Organization:
| valign=top | {{{field|CSDMS meeting institute|mandatory|size=30}}}
| valign=top | {{{field|CSDMS meeting institute|mandatory|cols=27|rows=1}}}
|-
|-
| valign=top |Town / City:
| valign=top |Town / City:
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<div id="USA">
<div id="USA">
{|class="formtable"
{|class="formtable"
| valign=top style="width:400px;"| State:
| valign=top style="width:300px;"| State:
| valign=top | {{{field|CSDMS meeting state|mandatory}}}
| valign=top | {{{field|CSDMS meeting state|mandatory}}}
|-
|-
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</div>
</div>
{|
{|
| valign=top style="width:400px;" |Email address:
| valign=top style="width:300px;" |Email address:
| valign=top | {{{field|CSDMS meeting email address|mandatory|size=30}}}
| valign=top | {{{field|CSDMS meeting email address|mandatory|cols=27|rows=1}}}
|-
|-
| valign=top | Phone:
| valign=top | Phone:
| valign=top | {{{field|CSDMS meeting phone|size=30}}}
| valign=top | {{{field|CSDMS meeting phone|cols=27|rows=1}}}
|-
|-
<!-- | valign=top | Will you for an extra $40 attend the Post-meeting<br><span class="plainlinks">[http://csdms.colorado.edu/wiki/Form:CSDMS_annual_meeting#Post-meeting_Software_Bootcamp software bootcamp]</span>?:
| valign=top colspan="2"| <br><font color="gray">''Please change your [[User:{{CURRENTUSER}}|user profile]] if you moved recently''.</font>
| valign=top | {{{field|CSDMS postmeeting bootcamp|mandatory|input type=radiobutton|default=no}}}
|- -->
| valign=top colspan="2"| <br><font color="gray">''Please change your [[User:{{CURRENTUSER}}|user profile]] if you need to update the above information''.</font>
|}
|}
{{{end template}}}
{{{end template}}}
{{#switchtablink:Select clinics|Continue ....}}


{{CSDMS_meeting_clinics}}
{{CSDMS_meeting_scholar_pre-meeting}}
<!--{{{for template|CSDMS meeting select clinics}}}
{{{for template|CSDMS_meeting_scholar_and_pre-meeting}}}
{| class="formtable"
| valign=top style="width:300px;"|Apply for scholarships:
| valign=top | {{{field|CSDMS meeting scholarships|mandatory|input type=radiobutton|default=No|show on select=CSDMS Scholarship=>scholarship_CSDMS;SEN Scholarship=>scholarship_SEN;No=>scholarship_no}}}
|}
<div id="scholarship_CSDMS">
'''Note''': ''This is only an indication that you would like to apply for the CSDMS offered student scholarships. See the meeting site to actually apply for the CSDMS student scholarships: [https://csdms.colorado.edu/wiki/Form:CSDMS_annual_meeting#Student_Scholarships_(two_options)]''
</div>
<div id="scholarship_SEN">
'''Note''': ''This is only an indication that you would like to apply for the SEN offered scholarships. See the meeting site to actually apply for the SEN student scholarships: [https://csdms.colorado.edu/wiki/Form:CSDMS_annual_meeting#Student_Scholarships_(two_options)]''
 
</div>
{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;"|Help us schedule the meeting!<br>Select up to '''''6 clinics''''' that you<br>would like to attend:
| valign=top style="width:300px;"|Join the pre-conference meeting:
| valign=top |{{{field|CSDMS_meeting_select_clinics}}}
| valign=top | {{{field|CSDMS meeting pre-conference|mandatory|input type=radiobutton|default=No|show on select=Yes=>pre_conference_yes;No=>pre_conference_no}}}
|-
|}
|}
{{{end template}}}-->
{{{end template}}}
<div id="pre_conference_yes">
'''Note''': ''Pre-Conference is an one day event, May 16<sup>th</sup> and will '''cost an additional $30'''. No reimbursement will be provided for extra night hotel or dinner.''
</div>
 
{{CSDMS_meeting_clinics}}
{{{for template|CSDMS meeting select clinics}}}
{{{for template|CSDMS meeting select clinics1}}}
{{{for template|CSDMS meeting select clinics1}}}
{| class="formtable"
{| class="formtable"
| valign=top colspan="2"| <br><font color="gray">''Help us schedule the meeting! Select for each day the clinic you would like to attend:''<br>''(See [https://csdms.colorado.edu/wiki/Form:CSDMS_annual_meeting#Clinic_Leaders clinic leaders] for more information)''</font><br><br>
|-
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 1<sup>st</sup> day<br>(<i>Parallel sessions</i>):
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 1<sup>st</sup> day<br>(<i>Parallel sessions</i>):
| valign=top |{{{field|CSDMS_meeting_select_clinics1|mandatory|input type=radiobutton|default=CMTWeb by CSDMS staff}}}
| valign=top |{{{field|CSDMS_meeting_select_clinics1|mandatory|input type=dropbox|default = 1) Using TopoFlow in the classroom}}}
|}
|}
{{{end template}}}
{{{end template}}}
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{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 2<sup>nd</sup> day<br>(<i>Parallel sessions</i>):
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 2<sup>nd</sup> day<br>(<i>Parallel sessions</i>):
| valign=top |{{{field|CSDMS_meeting_select_clinics2|mandatory|input type=radiobutton|default=Intro. Basic Model Interface and Standard Names by Scott Peckham}}}
| valign=top |{{{field|CSDMS_meeting_select_clinics2|mandatory|input type=dropbox|default=1) SEN}}}
|}
|}
{{{end template}}}
{{{end template}}}
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{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 3<sup>rd</sup> day<br>(<i>Parallel sessions</i>):
| valign=top style="width:300px;"|Select <b>one clinic</b> for the 3<sup>rd</sup> day<br>(<i>Parallel sessions</i>):
| valign=top |{{{field|CSDMS_meeting_select_clinics3|mandatory|input type=radiobutton|default=ROMS by Courtney Harris}}}
| valign=top |{{{field|CSDMS_meeting_select_clinics3|mandatory|input type=dropbox|default=1) LandLab}}}
|}
|}
{{{end template}}}
{{{end template}}}
{{#switchtablink:Abstract|Continue ....}}


{{CSDMS_meeting_abstract}}
{{CSDMS_meeting_abstract}}
{{{for template|CSDMS meeting abstract yes no}}}
{{{for template|CSDMS meeting abstract yes no}}}
{| class="formtable"
{| class="formtable"
| valign=top colspan="2"| <br><font color="gray">''Submit an abstract to present a poster.''</font><br><br>
|-
| valign=top style="width:300px;"|I am submitting an abstract:
| valign=top style="width:300px;"|I am submitting an abstract:
| valign=top style="width:50px"|{{{field|CSDMS meeting abstract submit|mandatory|input type=radiobutton|default=Yes|show on select=No=>submit_abstract_no;Yes=>submit_abstract_yes}}}
| valign=top style="width:50px"|{{{field|CSDMS meeting abstract submit|mandatory|input type=radiobutton|default=Yes|show on select=No=>submit_abstract_no;Yes=>submit_abstract_yes}}}
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{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;"|Title:
| valign=top style="width:300px;"|Title:
| valign=top |{{{field|CSDMS meeting abstract title|size=88}}}
| valign=top |{{{field|CSDMS meeting abstract title|cols=88|rows=1}}}
|}
|}
{{{end template}}}
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|-
|-
| valign=top |Institute / Organization:
| valign=top |Institute / Organization:
| {{{field|CSDMS meeting coauthor institute / Organization|size=30}}}
| {{{field|CSDMS meeting coauthor institute / Organization|cols=27|rows=1}}}
|-
|-
| valign=top |Town / City:
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{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;" |Email address:
| valign=top style="width:300px;" |Email address:
| {{{field|CSDMS meeting coauthor email address|size=30}}}
| {{{field|CSDMS meeting coauthor email address|cols=27|rows=1}}}
|}
|}
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{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;"|Abstract:
| valign=top style="width:300px;"|Abstract:
| valign=top |{{{field|CSDMS meeting abstract| autogrow}}}
| valign=top |{{{field|CSDMS meeting abstract|autogrow|rows=15|cols=88}}}
|}
|}
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|-
|-
|valign=top |Figure caption:
|valign=top |Figure caption:
|valign=top | {{{field|CSDMS meeting abstract figure caption}}}
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|}
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{{{for template|CSDMS meeting abstract movie|multiple|add button text=Add movie}}}
{{{for template|CSDMS meeting abstract movie|multiple|add button text=Add movie}}}
{| class="formtable"
{| class="formtable"
| valign=top style="width:300px;" |Upload model simulation:
| valign=top style="width:300px;" |Email movie to csdms@colorado.edu; we will add youtube code in this field:
| valign=top | {{{field|CSDMS meeting abstract simulation|uploadable|size=35}}}
| valign=top | {{{field|CSDMS meeting abstract simulation|rows=1}}}
|-
| valign=top | Upload image of model simulation:
| valign=top | {{{field|CSDMS meeting image simulation|uploadable|size=35}}}
|-
|-
|valign=top |Simulation caption:
|valign=top |Simulation caption:
|valign=top | {{{field|CSDMS meeting abstract simulation caption}}}
|valign=top | {{{field|CSDMS meeting abstract simulation caption|rows=1}}}
|}
|}
{{{end template}}}
{{{end template}}}
</div>
</div>
 
{|
{{{standard input|save|label=Save and continue registration}}} {{{standard input|cancel}}}
|valign=top style="width:300px;" |
<headertabs/>
|valign=top |<br><br><br> {{{standard input|save|label=Save and continue registration}}} {{{standard input|cancel}}}<br><br>
</includeonly><noinclude></noinclude><!--
|}
=Helpful Information for Travels Home=
</includeonly><noinclude></noinclude>
SuperShuttle: 303-227-0000
Boulder Taxi Cab Service: 303-777-7777
 
If booking SuperShuttle, they will ask you if you are South or North of Jay Road. The UCAR Facility is SOUTH of Jay Road.
 
The meeting facility address is UCAR Center Green, Bldg. #CG1, 3080 Center Green Drive, Boulder CO 80301
 
==Program==
[[media:CSDMS_Meeting_2013_Schedule_23Mar.pdf|Program Schedule]] updated March 23<sup>rd</sup>
<br>
 
==Join online Pre meeting discussions==
[[Coastal_WG_Discussion|Coastal Work Group]]<br>
[[Terrestrial_WG_Discussion|Terrestrial email send March 18th]]
<br>-->

Latest revision as of 17:16, 19 February 2018

The joint 2016 CSDMS - SEN* Annual Meeting
Capturing Climate Change

May 17 -19th 2016, Boulder Colorado, USA



Optional: May 16th 2016, pre-conference bootcamp


Registration

The online conference registration is a three step process:

Step 1:
  • Log in
Log in (or create account for non-CSDMS members)
Forgot username? Search or email:CSDMSweb@colorado.edu
Step 2:
  • Register
  • Abstract submission
Step 3:
  • Academia or Government, registration fee: $200 (After April 1st: $300)
  • Industry, registration fee: $1,500 (After April 1st: $1,600)
  • Add $30 when joining pre-conference bootcamp
    Third party website

Note 1: You only are successfully registered by fulfilling the above steps
Note 2: Do you want to make changes to you abstract?

  1. Log in.
  2. Select your registration record in "participants" and start making changes by clicking "Edit registration".




Objectives and general description

The joint CSDMS - SEN* 2016 annual meeting will focus on “advances in simulating the imprint of climate change on the land and seascapes, including the processes that influence them”. We would like presentations to either focus on the impacts of present and future climate change, or how climate change has impacted the earth in the past. Topics of interests also include modeling research that integrate different disciplines, different scales, and the synergy between models and experimental data. As in past meetings, keynote speakers are by invitation only, and poster presentations are the general media. The meeting will include:

  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 15, 2016.

Agenda

Click here to view the draft agenda of 12/29/2015.

Keynote Speakers

As of now:

Jean Braun
Institut des Sciences de la Terre, Universitaire de Grenoble
Links Between Mantle Convection, Tectonics, Erosion and Climate: Recent Model Developments and Results
Plate tectonics is the primary process controlling the Earth’s surface topography. In recent years, geodynamicists have emphasised the role that deep mantle flow may play in directly creating long wavelength, low amplitude topography (a so-called “dynamic” contribution to surface topography). In parallel, geomorphologists have investigated how surface processes (erosion, transport and sedimentation) may affect dynamic topography, with the aim of better understanding its signature in the geological record. To achieve this, we have developed a new class of surface processes models that represent the combined effects of physical erosion and chemical alteration within continental interiors. In developing these models, we have paid much attention to maintaining high efficiency and stability such that they could be used to model large continental areas with sufficient spatial resolution to represent the processes at the appropriate scale. I will briefly present these algorithms as well as the results of two separate studies in which we explain the anomalously rapid erosion of surface material during the passage of a continent over a fixed source of dynamic topography driven by upward flow in the mantle. I will also comment on how these models are strongly dependent on precipitation patterns and, ultimately, will need to be fully coupled to climate models to provide more meaningful constraints on the past evolution of surface topography.
Enrique Curchitser
Institute of Marine and Coastal Sciences, Rutgers University
draft - Multi-Scale Modeling of Ocean Boundary Currents
Mark Rounsevell
University of Edinburgh
draft - Integrative assessment modeling and Climate Change
Wonsuck Kim
University of Texas
draft - Sediment Experimentalists Network Activities and Future Direction
Jean-Francois Lamarque
National Center for Atmospheric Research
draft - Community Earth System Model
Nikki Lovenduski
Department of Atmospheric and Ocean Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder
Ocean Carbon Uptake and Acidification: Can We Predict the Future?
The oceans have absorbed a large fraction of anthropogenic carbon dioxide emissions, having consequences for ocean biogeochemistry and ecosystems via ocean acidification. Simulations with Earth System Models can be used to predict the future evolution of ocean carbon uptake and acidification in the coming decades and beyond, but there is substantial uncertainty in these model predictions, particularly on regional scales. Such uncertainty challenges decision makers faced with protecting the future health of ocean ecosystems. Uncertainty can be separated into three component parts: (1) uncertainty due to internal variability, (2) uncertainty due to model structure, and (3) uncertainty due to emission scenario. Here, we isolate and quantify the evolution of these three sources of prediction uncertainty in ocean carbon uptake over the next century using output from two sets of ensembles from the Community Earth System Model (CESM) along with output from models participating in the Fifth Coupled Model Intercomparison Project (CMIP5). We find that the three sources of prediction uncertainty in ocean carbon uptake are not constant, but instead vary with prediction lead time and the scale of spatial averaging. In order to provide valuable predictions to decision makers, we should invest in reducing the main sources of uncertainty.
Bette Otto-Blisner
NCAR
Draft: Continental Modeling
Jon Pelletier
University of Arizona
Modeling the Impact of Vegetation Changes on Erosion Rates and Landscape Evolution
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.
Zach Tessler
Environmental CrossRoads Initiative, CUNY Advanced Science Research Center
From Relative Sea Level Rise to Coastal Risk: Estimating Contemporary and Future Flood Risk in Deltas
Deltas are highly sensitive to local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. In this talk, I’ll discuss a recently developed risk framework for estimating the sensitivity of deltas to relative sea level rise, and the expected impact on flood risk. We apply this framework to an integrated set of global environmental, geophysical, and social indicators over 48 major deltas to quantify how delta flood risk due to extreme events is changing over time. Although geophysical and relative sea-level rise derived risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product–enabled infrastructure and coastal defense investments. However, when investments do not address the long-term drivers of land subsidence and relative sea-level rise, overall risk can be very sensitive to changes in protective capability. For instance, we show how in an energy-constrained future scenario, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. This suggests that the current emphasis on short-term solutions on the world’s deltas will greatly constrain options for designing sustainable solutions in the long term.
Don Deangelis
USGS
Ecological Applications of Agent Based Models

Clinic Leaders

Tuesday (1st day)

Irina Overeem & Mark Piper
CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
Using TopoFlow in the classroom
TopoFlow is a spatially distributed hydrologic model that includes meteorology, snow melt, evapotranspiration, infiltration and flow routing components. It can model many different physical processes in a watershed with the goal of accurately predicting how various hydrologic variables will evolve in time in response to climatic forcings. In the past year, CSDMS IF staff integrated TopoFlow into the CSDMS Web Modeling Tool (WMT, https://csdms.colorado.edu/wmt) and developed new lesson plans for use with it.

The first part of this clinic focuses on the technical aspects of working with TopoFlow in WMT, including how to: load and couple components, get information on a component, set parameters, upload data files, save a model, and run a model. We’ll discuss features of the TopoFlow implementation in WMT, and explain choices that were made in bringing TopoFlow to the web.

In the second part of the clinic, we’ll focus on science and education. We will run several TopoFlow simulations on the CSDMS HPCC through WMT. Participants will explore parameter settings, submit runs, and view netCDF output using NASA’s Panoply tool.

The learning outcomes of this clinic are to have better insight into the behavior of TopoFlow components, and the implementation of these in WMT. Participants will learn how to do TopoFlow model runs, and will have access to TopoFlow online labs and teaching resources lesson plans.
Ehab Mesehle & Eric White
The Water Institute of the Gulf
Coastal Ecosystem Integrated Compartment Model (ICM): Modeling Framework
The Integrated Compartment Model (ICM) was developed as part of the 2017 Coastal Master Plan modeling effort. It is a comprehensive and numerical hydrodynamic model coupled to various geophysical process models. Simplifying assumptions related to some of the flow dynamics are applied to increase the computational efficiency of the model. The model can be used to provide insights about coastal ecosystems and evaluate restoration strategies. It builds on existing tools where possible and incorporates newly developed tools where necessary. It can perform decadal simulations (~ 50 years) across the entire Louisiana coast. It includes several improvements over the approach used to support the 2012 Master Plan, such as: additional processes in the hydrology, vegetation, wetland and barrier island morphology subroutines, increased spatial resolution, and integration of previously disparate models into a single modeling framework. The ICM includes habitat suitability indices (HSIs) to predict broad spatial patterns of habitat change, and it provides an additional integration to a dynamic fish and shellfish community model which quantitatively predicts potential changes in important fishery resources. It can be used to estimate the individual and cumulative effects of restoration and protection projects on the landscape, including a general estimate of water levels associated with flooding. The ICM is also used to examine possible impacts of climate change and future environmental scenarios (e.g. precipitation, Eustatic sea level rise, subsidence, tropical storms, etc.) on the landscape and on the effectiveness of restoration projects. The ICM code is publically accessible, and coastal restoration and protection groups interested in planning-level modeling are encouraged to explore its utility as a computationally efficient tool to examine ecosystem response to future physical or ecological changes, including the implementation of restoration and protection strategies.
Mary Hill
University of Kansas
MODFLOW: Example applications and what we can learn from this amazingly successful piece of environmental modeling software.
Scott Peckham and Allen Pope, University of Colorado, Boulder
USC, ISI
Geoscience Paper of the Future: Training Session on Best Practices for Publishing Your Research Products
The Geoscience Paper of the Future (GPF) Initiative was created to encourage geoscientists to publish papers together with their associated digital research products following best practices of reproducible articles, open science, and digital scholarship. A GPF includes: 1) Data available in a public repository, including metadata, a license specifying conditions of use, and a citation using a unique and persistent identifier; 2) Software available in a public repository, with documentation, a license for reuse, and a unique and citable using a persistent identifier; 3) Provenance of the results by explicitly describing method steps and their outcome in a workflow sketch, a formal workflow, or a provenance record. Learn to write a GPF and submit to a special section of AGU’s Earth and Space Sciences Journal. More at http://www.ontosoft.org/gpf/.

Wednesday (2nd day)

Wonsuck Kim
The University of Texas at Austin
SEN
Eric Hutton & Mark Piper
CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
BMI: Live!
CSDMS has developed the Basic Model Interface (BMI) to simplify the conversion of an existing model in C, C++, Fortran, Java, or Python into a reusable, plug-and-play component. By design, the BMI functions are straightforward to implement. However, in practice, the devil is in the details.

In this hands-on clinic, we will take a model -- in this case, an implementation of the two-dimensional heat equation in Python -- and together, we will write the BMI functions to transform it into a component. As we develop, we’ll unit test our component with nose, and we’ll explore how to use the component with a Jupyter Notebook. Optionally, we can set up a GitHub repository to store and to track changes to the code we write.

To get the most out of this clinic, come prepared to code! We have a lot to write in the time allotted. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you skim:

⤅ BMI description (https://csdms.colorado.edu/wiki/BMI_Description)
⤅ BMI documentation (http://bmi-forum.readthedocs.org/en/latest)

before participating in the clinic.
Courtney Harris, Julia Moriarty & Irina Overeem and Eric Hutton
VIMS & Univ. of Colorado
Regional Ocean Modeling System (ROMS): An introductory web-based model implementation
Participants in this clinic will learn how to run a Regional Ocean Modeling System (ROMS) test case for an idealized continental shelf model domain within the CSDMS Web Modeling Toolkit (WMT). The model implementation that we will use includes wave forcing, a riverine source, suspended sediment transport.

ROMS is an open source, three-dimensional primitive equation hydrodynamic ocean model that uses a structured curvilinear horizontal grid and a stretched terrain following vertical grid. For more information see https://www.myroms.org. It currently has more than 4,000 registered users, and the full model includes modules for sediment transport and biogeochemistry, and several options for turbulence closures and numerical schemes. In part because ROMS was designed to provide flexibility for the choice of model parameterizations and processes, and to run in parallel, implementing the code can seem daunting, but in this clinic, we will present an idealized ROMS model that can be run on the CSDMS cluster via the WMT. One goal is to provide a relatively easy introduction to the numerical modeling process that can be used within upper level undergraduate and graduate classes to explore sediment transport on continental shelves.

As a group, we will run an idealized ROMS model on the CSDMS computer, Beach. The group will choose a modification to the standard model. While the modified model runs, we will explore methods for visualizing model output. Participants who have access to WMT can run the model themselves. Clinic participants who have access to Matlab and/or Panoply will be able to browse model output files during the clinic.

Following the clinic, participants should have access to an example ROMS model run, experience running ROMS within the WMT and with ROMS input and output files, and. ROMS lesson plans.
Zheyu Zhou, Xiaofeng Liu & Tom Hsu
Univ. Delaware, Penn State, Univ. Delaware,
Modeling coastal processes using OpenFOAM

Thursday (3rd day)

Greg Tucker
CIRES, Univ. of Colorado
LandLab
--

Numpy
Wei Luo
Northern Illinois University
WILSIM as EKT tool
Randy LeVeque
University of Washington, Seattle
GeoClaw Software for Depth Average Flow
GeoClaw (http://www.geoclaw.org) is an open-source software package for solving two-dimensional depth-averaged equations over general topography using high-resolution finite volume methods and adaptive mesh refinement. Wetting-and-drying algorithms allow modeling inundation or overland flows. The primary applications where GeoClaw has been used are tsunami modeling and storm surge, although it has also been applied to dam break floods and it forms the basis for the debris flow and landslide code D-Claw under development at the USGS Cascades Volcano Observatory.

This tutorial will give an introduction to setting up a tsunami modeling problem in GeoClaw including:
⤅ Overview of capabilities,
⤅ Installing the software,
⤅ Using Python tools provided in GeoClaw to acquire and work with topography datasets and earthquake source models,
⤅ Setting run-time parameters, including specifying adaptive refinement regions,
⤅ Options to output snapshots of the solution or maximum flow depths, arrival times, etc.
⤅ The VisClaw plotting software to visualize results using Python tools or display on Google Earth.

GeoClaw is distributed as part of Clawpack (http://www.clawpack.org), and available via the CSDMS model repository. Those who wish to install the software in advance on laptops, please see http://www.clawpack.org/installing.html.



Participants

Interested to see who registered for the meeting as of 06/22/2025?




Reimbursement

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 conference hotels), and a limited amount of travel expenses for qualified registrants - those members who will attend 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.

Travel, Lodging and Conference Center Information

The meeting will be held at SEEC
Hotel: Millennium Harvest House Hotel
Transportation: You can book transportation between DIA and Boulder here: Green Ride Boulder. And information on how to find Green Ride Boulder at DIA.
We will provide a bus between the hotels and the meeting venue each day. We will also provide transportation to the banquet.

Pre-conference one-day Software Carpentry bootcamp

CSDMS will host a Pre-conference one-day Software Carpentry bootcamp on Monday May 16th, 2016. The objective is to teach basic programming skills that will be useful for scientific computing and model development. This is an intensive, hands-on workshop, during which certified instructors will cover basic elements of:

  1. the Unix bash shell,
  2. Python programming and NumPy, and
  3. Github for version control.

Our instructors are earth scientists and have familiarity with the CSDMS framework, such that lessons and examples will be targeted toward relevant problems in your field. The bootcamp intentionally precedes the CSDMS meeting, so the skills participants develop should be useful in the clinics during the meeting.

Note:

  • Registration is open till April 1st (or until program fill) and is handled through the 2016 meeting site.
  • The bootcamp is capped at 30 participants (first paid first serve), and it has a $30 registration fee.
  • Participant will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
  • We will cover coffee and lunch during the bootcamp.



Student Scholarships (two options)

CSDMS

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

SEN

The Sediment Experimentalist Network (SEN) is sponsoring a data-utilization contest for graduate-student and early-career geoscience modelers who feel passionate about advancing science through experimental data sharing and reuse. The top four winners of the data-utilization contest will have all travel and registration costs paid for.
To apply:
  • Please check the box during registration to indicate that you are applying for the SEN travel grant.
  • Send your application materials (proposal, professional biography) to sedimentexp@gmail.com by April 1, 2016.
  • Full instructions for the travel grant application are available here.

Important dates

  • January 15th: Registration opens
  • March 1st: Deadline for student scholarship applications
  • April 1st: Deadline for abstract submission & early registration
  • May 10th: Deadline late registration. Notice additional costs do apply.
  • May 16th: Optional: pre-conference bootcamp
  • May 17-19th: CSDMS annual meeting
  • May 20th: CSDMS Executive and Steering committees meeting (by invitation only)

* The Sediment Experimentalist Network (SEN) integrates the efforts of sediment experimentalists to build a knowledge base for guidance on best practices for data collection and management. The network facilitates cross-institutional collaborative experiments and communicates with the research community about data and metadata guidelines for sediment-based experiments. This effort aims to improve the efficiency and transparency of sedimentary research for field geologists and modelers as well as experimentalists.

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