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<noinclude>__NOEDITSECTION__<center>__NOTOC__<span style="font-size:2.5em;">Welcome to the CSDMS 2013 annual meeting</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;">'''CSDMS 2.0: Moving Forward'''</span>
<span style="font-size:1.8em;">May 17 -19<sup>th</sup> 2016, Boulder Colorado, USA</span><br>
<span style="font-size:1.5em;">March 23-25<sup>th</sup> 2013 Boulder Colorado, USA</span></center><br><br><br>
</center><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>
<div style="float:right;">{{TOC limit|3}}</div>
<br>
=Registration=
=Registration=
<div style="float:right;">{{#Widget:Meetinggallery2}}</div>
The online conference registration is a three step process:
<!--The online conference registration is a three step process:
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{{#ifexist:User:{{CURRENTUSER}}|::{{#show:User:{{CURRENTUSER}} |? First name member}}, continue<br>with '''step 2'''|
{{#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:SemanticSignup | create account]] for none 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 2'''</big>:
::<big>'''Step 2'''</big>:
::::* '''Register'''  
::::* '''Register'''
::::* '''Abstract submission'''
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::{{#formlink:form=CSDMS_annual_meeting|link text=Start registration|link type=button|query string=namespace=Meeting|namespace=Meeting}}
::{{#formlink:form=CSDMS_annual_meeting|link text=Start registration|link type=button|query string=namespace=Meeting|new window|namespace=Meeting}}
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::<big>'''Step 3'''</big>:
::<big>'''Step 3'''</big>:
::::* '''Pay registration fee ($200)'''<br><font color="gray" size="0.6">''Third party website''</font>
::::* '''Academia or Government, registration fee: $200''' ''(After April 1st: $300)''<br>
::::* '''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/csdmsmeeting2013]]</span>
::<span class="plainlinks">[[image:Pay_button.png|link=https://www.regonline.com/csdmsmeeting2016]]</span>


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Note 1: <font color="gray">''You only are successfully registered by fulfilling the above steps''</font><br>
Note 1: <font color="gray">''You only are successfully registered by fulfilling the above steps''</font><br>
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Note 2: <font color="gray">Do you want to make changes to you abstract?</font>
Registration is now officially closed. Any requests to attend may be sent to [mailto:csdms@colorado.edu csdms@colorado.edu] with subject line: CSDMS Mtg 2013.<br><br><br>
Note: <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_2013_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>.  
 
<br><br>
=Helpful Information for Travels Home=
SuperShuttle: 303-227-0000
Taxi Cab Service: 303-777-7777
 
Reminder: The meeting address is UCAR Center Green, Bldg. #CG1, 3080 Center Green Drive, Boulder CO 80301




=Objectives and general description=
=Objectives and general description=
The CSDMS Meeting 2013 is designed to launch CSDMS 2.0 and shape its direction through engaging on the technical and community challenges over the next five years. <br>
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 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) ''New community initiatives'' to advance earth-surface process modeling across many disciplines; 5) ''Breakout sessions for Working and Focus Research Groups'' to update their strategic plans and define their long, medium and short term goals; 6) ''Poster Sessions''; and more.<br><br>
<!--=Announcements=
''Poster Information'': Those who are bringing posters have been assigned to one of the two poster sessions via an email that was sent on March 11th. (If you did not receive that email, contact: csdms@colorado.edu). The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. There are only a few spots available for posters with landscape orientation.
# 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>
==Program==
#* Coastline Evolution Model (CEM)<br>
[[media:CSDMS_Meeting_2013_Schedule_23Mar.pdf|Program Schedule]] updated March 23<sup>rd</sup>
#* Wrapping Existing Models with the Basic Modeling Interface<br>
<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
==Join online Pre meeting discussions==
#* See the agenda below to plan which keynote talk you would like to follow. Time is presented as Mountain Standard Time (or UTC−07hrs).  
[[Coastal_WG_Discussion|Coastal Work Group]]<br>
-->
[[Terrestrial_WG_Discussion|Terrestrial email send March 18th]]
=Agenda=
<br>
Click [[Media:2016_Annual_Meeting_Draft_Agenda_1.0.pdf|here]] to view the draft agenda of 12/29/2015.
 
<br><br>
 
==Keynote Speakers==
==Keynote speakers==
As of now:<br>
{{Keynote-clinics
{{Keynote-clinics
| name = John Atkinson
| name = Jean Braun
| affiliation = ARCADIS U.S., Inc.
| affiliation = Institut des Sciences de la Terre, Universitaire de Grenoble
| title = A Coupled ADCIRC and SWAN model of Hurricane Surge and Waves.
| participants =
| abstract = This presentation will briefly introduce the formulation, numerics, and parallel implementation of the coastal circulation model ADCIRC, discuss the strategy of coupling with the SWAN wave model, and provide background on recent enhancements of the bottom-friction formulation.  Several recent applications of the coupled modeling system will be presented.
| 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
{{Keynote-clinics
| name = Katy Barnhart
| name = Enrique Curchitser
| affiliation = University of Colorado
| affiliation = Institute of Marine and Coastal Sciences, Rutgers University
| title = Melting Coasts and Toppled Blocks: Modeling Coastal Erosion in Ice-Rich Permafrost Bluffs, Beaufort Sea, Alaska
| participants =  
| abstract =<span style="font-size:0.8em;"><i>(with Robert S. Anderson, Irina Overeem, Gary Clow, and Frank Urban)<br>(thanks to Adam LeWinter and Tim Stanton)</i></span><br><br>Rates of coastal cliff erosion are a function of the geometry and substrate of the coast; storm frequency, duration, magnitude, and wave field; and regional sediment sources. In the Arctic, the duration of sea ice-free conditions limits the time over which coastal erosion can occur, and sea water temperature modulates erosion rates where ice content of coastal bluffs is high. Predicting how coastal erosion rates in this environment will respond to future climate change requires that we first understand modern coastal erosion rates.<br><br>Arctic coastlines are responding rapidly to climate change. Remotely sensed observations of coastline position indicate that the mean annual erosion rate along a 60-km reach of Alaska’s Beaufort Sea coast, characterized by high ice content and small grain size, doubled from 7 m yr-1 for the period 1955-1979 to 14 m yr-1 for 2002-2007. Over the last 30 years the duration of the open water season expanded from ∼45 days to ∼95 days, increasing exposure of permafrost bluffs to seawater by a factor of 2.5. Time-lapse photography indicates that coastal erosion in this environment is a halting process: most significant erosion occurs during storm events in which local water level is elevated by surge, during which instantaneous submarine erosion rates can reach 1-2 m/day. In contrast, at times of low water, or when sea ice is present, erosion rates are negligible.<br><br>We employ a 1D coastal cross-section numerical model of the erosion of ice-rich permafrost bluffs to explore the sensitivity of the system to environmental drivers. Our model captures the geometry and style of coastal erosion observed near Drew Point, Alaska, including insertion of a melt-notch, topple of ice-wedge-bounded blocks, and subsequent degradation of these blocks. Using consistent rules, we test our model against the temporal pattern of coastal erosion over two periods: the recent past (~30 years), and a short (~2 week) period in summer 2010. Environmental conditions used to drive model runs for the summer of 2010 include ground-based measurements of meteorological conditions (air temperature, wind speed, wind direction) and coastal waters (water level, wave field, water temperature), supplemented by high temporal frequency (4 frames/hour) time-lapse photography of the coast. Reconstruction of the 30-year coastal erosion history is accomplished by assembling published observations and records of meteorology and sea ice conditions, including both ground and satellite-based records, to construct histories of coastline position and environmental conditions. We model wind-driven water level set-up, the local wave field, and water temperature, and find a good match against the short-term erosion record. We then evaluate which environmental drivers are most significant in controlling the rates of coastal erosion, and which melt-erosion rule best captures the coastal history, with a series of sensitivity analyses. The understanding gained from these analyses provides a foundation for evaluating how continuing climate change may influence future coastal erosion rates in the Arctic.
| title = draft - Multi-Scale Modeling of Ocean Boundary Currents
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Chris Duffy
| name = Mark Rounsevell
| affiliation = Penn State University
| affiliation = University of Edinburgh
| title = Modeling The Isotopic “Age” of  Water in Hydroecological Systems with PIHM
| participants =  
| abstract = Co-authors: Gopal Bhatt and Evan Thomas<br><br>Theories have been proposed using idealized tracer age modeling for ocean ventilation, atmospheric circulation, soil, stream and groundwater flow. In this research we developing new models for the dynamic age of water in hydroecological systems. Approaches generally assume a steady flow regime and stationarity in the concentration (tracer) distribution function for age, although recent work shows that this is not a necessary assumption. In this paper a dynamic model for flow, concentration, and age for soil water is presented including the effect of macropore behavior on the relative age of recharge and transpired water.  Several theoretical and practical issues are presented including some new results for Shale Hills CZO (G. Bhatt, 2012).
| title = draft - Integrative assessment modeling and Climate Change
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Michael S. Eldred
| name = Wonsuck Kim
| affiliation = Sandia NL
| affiliation = University of Texas
| title = DAKOTA: An Object-Oriented Framework for Simulation-Based Iterative Analysis
| participants =
| abstract = The DAKOTA project began in 1994 with the primary objective of reusing software interfaces to design optimization tools. Over nearly 20 years of development, it has grown into an open source toolkit supporting a broad range of iterative analyses, typically focused on high-fidelity modeling and simulation on high-performance computers. Today, DAKOTA provides a delivery vehicle for uncertainty quantification research for both the NNSA and the office of science, enabling an emphasis on predictive science for stockpile stewardship, energy, and climate mission areas.<br /><br />Starting with an overview of the DAKOTA architecture, this presentation will introduce processes for setting up iterative analyses, interfacing with computational simulations, and managing high-fidelity workflows. Algorithmic capabilities in optimization, calibration, sensitivity analysis, and uncertainty quantification (UQ) will be briefly overviewed, with special emphasis given to UQ. Core UQ capabilities include random sampling methods, local and global reliability methods, stochastic expansion methods, and epistemic interval propagation methods. This UQ foundation enables a variety of higher level analyses including design under uncertainty, mixed aleatory-epistemic UQ, and Bayesian inference.
| title = draft - Sediment Experimentalists Network Activities and Future Direction
| abstract =  
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Courtney Harris
| name = Jean-Francois Lamarque
| affiliation = VIMS
| affiliation = National Center for Atmospheric Research
| title = Linking Sediment Transport Processes and Biogeochemistry with Application to the Louisiana Continental Shelf
| participants =
| abstract = Though it enhances the exchange of porewater and solids with the overlying water, the role that sediment resuspension and redeposition play in biogeochemistry of coastal systems is debated.  Numerical models of geochemical processes and diagenesis have traditionally parameterized relatively long timescales, and rarely attempted to include resuspension.  Meanwhile, numerical models developed to represent sediment transport have largely ignored geochemistry. Here, we couple the Community Sediment Transport Modeling System (CSTMS) to a biogeochemical model within the Regional Ocean Modeling System (ROMS). The multi-layered sediment bed model accounts for erosion, deposition, and biodiffusion.  It has recently been modified to include dissolved porewater constituents, particulate organic matter, and geochemical reactions.<br><br>For this talk, we explore the role that resuspension and redeposition play in biogeochemical cycles within the seabed and in benthic boundary layer by running idealized, one-dimensional test cases designed to represent a 20-m deep site on the Louisiana Shelf.  Results from this are contrasted to calculations from an implementation similar to a standard diagenesis model. Comparing these, the results indicate that resuspension acts to enhance sediment bed oxygen consumption.
| title = draft - Community Earth System Model
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Wonsuck Kim
| name = Nikki Lovenduski
| affiliation = University of Texas
| affiliation = Department of Atmospheric and Ocean Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder
| title = Building a Network for Sediment Experimentalists and Modelers
| participants =
| abstract ='''Wonsuck Kim''', ''University of Texas at Austin''<br>'''Leslie Hsu''', ''Lamont-Doherty Earth Observatory, Columbia University''<br>'''Brandon McElroy''', ''University of Wyoming, Laramie''<br>'''Raleigh Martin''', ''University of Pennsylvania''<br><br>In the modeler community, hindcasting (a way to test models based on knowledge of past events) is required for all computer models before providing reliable results to users. CSDMS 2.0 “Moving forward” has proposed to incorporate benchmarking data into its modeling framework. Data collection in natural systems has been significantly advanced, but is still behind the resolution in time and space and includes natural variability beyond our understanding, which makes thorough testing of computer models difficult.<br><br>In the experimentalist community, research in Earth-surface processes and subsurface stratal development is in a data-rich era with rapid expansion of high-resolution, digitally based data sets that were not available even a few years ago. Millions of dollars has been spent to build and renovate flume laboratories. Advanced technologies and methodologies in experiment allow more number of sophisticated experiments in large scales at fine details. Joint effort between modelers and experimentalists is a natural step toward a great synergy between both communities.<br><br>Time for a coherent effort for building a strong global research network for these two communities is now. First, the both communities should initiate an effort to figure out a best practice, metadata for standardized data collection. Sediment experimentalists are an example community in the “long tail”, meaning that their data are often collected in one-of-a-kind experimental set-ups and isolated from other experiments. Second, there should be a centralized knowledge base (web-based repository for data and technology) easily accessible to modelers and experimentalists. Experimentalists also have a lot of “dark data,” data that are difficult or impossible to access through the Internet. This effort will result in tremendous opportunities for productive collaborations.<br><br>The new experimentalist and modeler network will be able to achieve the CSDMS current goal by providing high quality benchmark datasets that are well documented and easily accessible.
| 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
{{Keynote-clinics
| name = Louis Moresi
| name = Bette Otto-Blisner
| affiliation = Monash University
| affiliation = NCAR
| title = Underworld: A high-performance, modular long-term tectonics code
| participants =
| abstract = Co-authors: John Mansour, Steve Quenette and Guillaume Duclaux<br><br>The Underworld code was designed for solving (very) long timescale geological deformations accurately, tracking deformation and evolving interfaces to very high strains. It uses a particle-in-cell based finite element method to track the material history accurately and highly-tuned multigrid solvers for fast implicit solution of the equations of motion. The implementation has been fully parallel since the inception of the project, and a plugin/component architecture ensures that extensions can be built without significant exposure to the underlying technicalities of the parallel implementation. We also paid considerable attention to model reproducibility and archiving — each run defines its entire input state and the repository state automatically.<br>A typical geological problems for which the code was designed is the deformation of the crust and lithospheric mantle by regional plate motions — these result in the formation of localised structures (e.g. faults), basins, folds and in the generation of surface topography. The role of surface processes — redistributing surface loads and changing boundary conditions, is known to be significant in modifying the response of the lithosphere to the plate-derived forces. The coupling of surface process codes to Underworld is feasible, but raises some interesting challenges (and opportunities !) such as the need to track horizontal deformations and match changes to the topography at different resolutions in each model. We will share some of our insights into this problem.
| title = Draft: Continental Modeling
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Jaap Nienhuis
| name = Jon Pelletier
| affiliation = WHOI/MIT
| affiliation = University of Arizona
| title = Growth and Abandonment: Quantifying First-order Controls on Wave Influenced Deltas.
| participants =
| abstract = What determines the style of river delta growth? How do deltas change after fluvial sediment supply is cut off? River delta evolution is characterized by the progradation and transgression of individual (deltaic) lobes: the delta cycle. We investigate the behaviour of wave-influenced deltas with a simple shoreline model, and quantitatively relate several first-order controls.
| 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
{{Keynote-clinics
| name = Mark Schmeeckle
| name = Zach Tessler
| affiliation = Arizona State University
| affiliation = Environmental CrossRoads Initiative, CUNY Advanced Science Research Center
| title = Turbulence- and Particle-Resolving Numerical Modeling of Sediment Transport.
| participants =
| abstract = Turbulence, bedload, and suspended sediment transport are directly simulated by a coupled large eddy simulation of the fluid and a distinct element method for every sediment grain. This modeling system directly calculates the motion of all grains by resolved turbulence structures. The model directly calculates modification of the flow and turbulence by the grains, such as the effects of grain momentum extraction and density stratification. Simulations such as these can be used in the future to parameterize sediment transport in large-scale morphodynamic simulations.
| 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
{{Keynote-clinics
| name = Mauro Werder
| name = Don Deangelis
| affiliation = Simon Fraser University
| affiliation = USGS
| title = Modeling channelized and distributed subglacial drainage in 2D
| participants =
| abstract = This model of the subglacial drainage system simulates the pressurised flow of water at the ice-bed interface of glaciers and ice sheets.  It includes both distributed and channelized water flow.  Notably the model determines the geometry of the channel network as part of the solution.  The resulting channel network is similar to subaerial stream networks with channels carving out hydraulic potential "valleys".  However, there are some pronounced differences to subaerial drainage, for example that the time for a network to form (and decay) is on the order of weeks to months; or that, channels originating at point sources can lie on ridges of the hydraulic potential.  The model employs a novel finite element approach to solve the parabolic equations for the hydraulic potential simultaneously on the 1D channel network and 2D distributed system.
| title = Ecological Applications of Agent Based Models
}}
| abstract =
<br>
}}<!---->


==Clinics==
==Clinic Leaders==
===Tuesday (1<sup>st</sup> day)===
{{Keynote-clinics
{{Keynote-clinics
| name = Peter Burgess & Chris Jenkins
| name = Irina Overeem & Mark Piper
| affiliation = Royal Holloway, UK & Univ. of Co.
| affiliation = CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
| title = Three carbonate sedimentation models for CSDMS
| participants =
| abstract = This workshop will showcase three different models of carbonate sedimentation, produced under the CSDMS umbrella: carboCat for facies, carboCell for guilds, carboPop for communities. Participants will be able to download and run (on own or provided machines) these models in Python and Matlab environments, discuss how to select appropriate parameters for them using the various databases being developed in concert with the models, and contribute to plans for further development of models and databases.
| 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
{{Keynote-clinics
| name = Gary Clow
| name = Ehab Mesehle & Eric White
| affiliation = USGS
| affiliation = The Water Institute of the Gulf
| title = Introduction to the Weather Research & Forecasting (WRF) System, a High-Resolution Atmospheric Model
| participants =
| abstract = WRF is a highly parallel state-of-the-art numerical weather prediction model hosted by the National Center for Atmospheric Research (NCAR)This community model was designed from the onset to be fairly flexible, supporting both operational forecasting and atmospheric research needs at scales ranging from meters to thousands of kilometers. Given the model’s physics implementation and it’s modular design, WRF naturally became the core for a number of more specialized models, including: HWRF (used to forecast the track and intensity of tropical cyclones), WRF-CHEM (simulates the emission, transport, mixing, and chemical transformation of trace gases and aerosols simultaneously with meteorology), Polar WRF (a version of WRF optimized for the polar regions), CWRF and CLWRF (versions of WRF modified to enable regional climate modeling), and planetWRF (a general purpose numerical model for planetary atmospheres used thus far for Mars, Venus, and Titan).<br><br>The goal of this clinic is to provide an overview of the WRF model, including: model architecture, physics options, data required to drive the model, standard model output, model applications, and system requirements. Several examples will be presented.  A Basic Model Interface (BMI) is currently being developed for WRF to facilitate the coupling of this atmospheric model with other earth system models.
| 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 = Scott Peckham
| name = Mary Hill
| affiliation = University of Colorado
| affiliation = University of Kansas
| 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 = MODFLOW: Example applications and what we can learn from this amazingly successful piece of environmental modeling software.
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Irina Overeem
| name = Scott Peckham and Allen Pope, University of Colorado, Boulder
| affiliation = University of Colorado
| affiliation = USC, ISI
| title = CMT clinic
| participants =
| abstract = This clinic will look at the CSDMS Modeling Tool (CMT). We share the philosophy behind CMT, will demo the functionality of CMT and show what models are incorporated into it. New educational material on several models allows scientists and students to more easily use CSDMS models for classes and simple simulations and we will provide clinic participants with the latest information on these resources. The CMT clinic will be hands-on, we will run a few simple runs and visualize them. Finally, we will spend some time on discussing common problems and strategic solutions.
| 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 = Thomas Hauser & Monte Lunacek
| name = Wonsuck Kim
| affiliation = University of Colorado
| affiliation = The University of Texas at Austin
| title = Python for Matlab users clinic
| participants =
| abstract = This workshop is a hands-on introduction to using Python for computational science. Python is a powerful open source interpreted language that has been adopted widely in many application areas. The goal of this workshop is to teach participants how to use Python as an open source alternative for MATLAB in their computational workflows. While we will demonstrate how to implement MATLAB-based scientific computing workflows in Python, attendees are not required to have MATLAB or Python experience. The goal of this tutorial is to show how an open source alternative to MATLAB can be used productively for computational science research.  In the first part of this workshop we will introduce basic Python concepts and iPython with a focus on migrating from MATLAB to Python. We will show how the Python modules Numpy and Scipy, for scientific computing, and Matplotlib, for plotting, can make Python as capable as MATLAB for computational science research. In the second part of the tutorial we will discuss on how to interface Python with compiled languages like C or Fortran to improve performance of numerical codes. Additionally we will show how to use distributed parallel computing on a supercomputer from interactive python notebooks. <br><br>This tutorial will be hands on, so we would like you to install python on your laptop before you arrive.  The easiest way to get everything you need is to download the FREE Enthought distribution:<br>[https://www.enthought.com/products/epd_free.php https://www.enthought.com/products/epd_free.php]<br><br>The installation is fairly straight forward, but if you have any questions, please feel free to email Monte: [mailto:Monte.Lunacek@colorado.edu Monte.Lunacek@colorado.edu].
| title = SEN
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Mary Hill
| name = Eric Hutton & Mark Piper
| affiliation = USGS
| affiliation = CSDMS Integration Facility, INSTAAR, University of Colorado Boulder
| title = Toward Transparent, Refutable Hydrologic Models in Kansas or Oz.
| participants =
| abstract = Numerical models are critical to integrating knowledge and data for environmental systems and understanding future consequences of management decisions, weather variability, climate change, and so on. To attain the transparency and refutability needed to understand predictions and uncertainty and use models wisely, this clinic presents a strategy that emphasizes fundamental questions about model adequacy, sensitivity analysis, and uncertainty evaluation, and consistent use of carefully designed metrics. Emphasizing fundamental questions reveals practical similarities in methods with widely varying theoretical foundations and computational demands. In a field where models take seconds to months for one forward run, a credible strategy must include frugal methods for those in Kansas who can only afford 10s to 100s of highly parallelizable model runs in addition to demanding methods for those in Oz who can afford to do 10,000s to 1,000,000s of model runs. Advanced computing power notwithstanding, people may be in Kansas because they have chosen complex, high-dimensional models, want quick insight into individual models, and/or need systematic comparison of many alternative models. This class will briefly review the fundamental questions, demonstrate relations between existing theoretical approaches, and address challenges and limitations. Students will be able to examine a model constructed using FUSE and compare results from computationally frugal method evaluations conducted in class and demanding methods for which results are provided.<br><br>'''Notice:'''<br>During the clinic you will have the opportunity to run an exercise on your laptop. The exercise uses R, which is freely downloadable. The clinic is only an hour, so it will really be necessary to have downloaded and installed R prior to arriving. Do this as follows<br>go to [http://cran.cnr.berkeley.edu/ http://cran.cnr.berkeley.edu/]<br>Install version 2.15.3<br>Linux, Mac, or Windows versions are available.<br><br>You can install with or without administrative privileges.<br><br>The R scripts you will be working with and the file with results from Sobol' can be downloaded from ftp://ftpext.cr.usgs.gov/pub/cr/co/boulder/mchill, in case you would like to try it out. Here are the rest of the instructions for doing that, but you can wait and do this in class if you like, as long as you have downloaded R.<br><br>2) Open Rgui.exe In the bin subdirectory of the R distribution<br>3) Go to File > Open script "Sensitivities_Global_Local_v02.r"<br>4) Set your current working directory in the R script: setwd("full path") on line 17. This is the directory with the .r files distributed for class. Change any \ to /. There can be spaces in the pathname.<br>5) Run by using the shortcuts Ctrl+a and Ctrl+r.<br><br>PDF files are produced showing plots of results. We will go through what these mean in class.<br><br>The Sobol’ results take 6,000,000 model runs and about 12 hours, so can not be run in class. They are provided in the file:<br>SOBOL_pergridpoint_K_c_9999samplesize_1000bootstrap.txt<br>Each line presents average results for a bootstrapped Sobol’ sample for a portion of the full parameter space. The averages for the entire range of parameters is on the line with grid index=101<br>The R script using this file to create plots; it does not do the runs.  
| 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
| name = Courtney Harris, Julia Moriarty & Irina Overeem and Eric Hutton
| affiliation = VIMS & Univ. of Colorado
| participants =
| 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 = Xiaofeng Liu
| name = Zheyu Zhou, Xiaofeng Liu & Tom Hsu
| affiliation = UT San Antonio
| affiliation = Univ. Delaware, Penn State, Univ. Delaware,
| title = Modeling of Earth Surface Dynamics and Related Problems using OpenFOAM®.
| participants =
| abstract = This clinic aims to introduce the open source computational fluid dynamics (CFD) platform, OpenFOAM®, to the earth surface dynamics research community and to foster collaborations. OpenFOAM® is essentially a computational toolbox which solves general physical models (differential equations) using finite volume method. This short clinic is tailored to be suitable for an audience at various levels (from beginners to experienced code developers). It will provide an overview of OpenFOAM. We will demonstrate its usage in a variety of applications, including hydrodynamics, sedimentation, groundwater flows, buoyant plumes, etc. Participants can also bring the problems in their fields of interest and explore ways to solve them in OpenFOAM®. Knowledge of C++, object-oriented programming, and parallel computing is not required but will be helpful.
| title = Modeling coastal processes using OpenFOAM
| abstract =
}}
}}
===Thursday (3<sup>rd</sup> day)===
{{Keynote-clinics
{{Keynote-clinics
| name = Eckart Meiburg & students
| name = Greg Tucker
| affiliation = University of California, SB
| affiliation = CIRES, Univ. of Colorado
| title = TURBINS using PETSc
| participants =
| abstract = This clinic will provide information on how laboratory scale flows and field scale flows can be simulated by direct numerical simulations (DNS) and large-eddy simulations (LES) using parallel, high-performance computing facilities. DNS results, from the software TURBINS, of gravity and turbidity currents propagating over complex sea floor topography will be discussed. The use of the PETSc software package within the DNS simulations will be highlighted. LES results of high Reynolds number gravity and turbidity currents, and reversing buoyancy currents over a flat topography will be discussed. Issues relevant to LES such as grid resolution, grid convergence, subgrid models and wall-layer modeling will also be discussed.
| title = LandLab
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Helena Mitasova
| name = --
| affiliation = North Carolina State Univ.
| affiliation =  
| title = Modeling and analysis of evolving landscapes in GRASS GIS
| participants =
| abstract = This clinic will introduce participants to GRASS6.4.3 with special focus on  terrain modeling, geomorphometry, watershed analysis and modeling of landscape processes such as surface water flow and erosion/deposition. The hands-on section will explore lidar-based terrain models, multiple surface visualization, analysis of coastal lidar time series and visualization of terrain evolution using space-time cube. Overview of new capabilities in the GRASS7 development version will also be provided.<br><br>Notice: The participants will be expected to download and install GRASS6.4.3 as well as the practice data sets from the provided web site prior to the clinic. (see below)<br><br>Everything used in the clinic will be available through the following web site: http://courses.ncsu.edu/gis582/common/media/GRASS_clinic2013/GRASS_clinic.html<br>(''I am still working on the material, but the install info is there'').<br><br>Anytime before the clinic (which is on Monday March 25), please:<br>- download the data following the instructions for # 3. Data for the practice<br>- download and install GRASS following # 4. Software<br>- try opening GRASS following [http://courses.ncsu.edu/gis582/common/media/GRASS_clinic2013/IntroGRASS.html the instructions here], especially the video capture [http://courses.ncsu.edu/gis582/common/media/GRASS_clinic2013/gettingstartedGRASS643edit3.mov Getting started with GRASS]<br><br>You don't need to go through the entire video or the instructions - we will do it in Boulder, for now just open GRASS and make sure you can display one of the provided map layers.<br>Please let Helena know if you have any problems: [mailto:hmitaso@ncsu.edu hmitaso@ncsu.edu]
| title = Numpy
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Ad Reniers
| name = Wei Luo
| affiliation = University of Miami
| affiliation = Northern Illinois University
| title = Dune erosion and overwash with XBeach
| participants =
| abstract = A short tutorial and hands-on workshop to set up and run XBeach to predict the morphodynamic response of dune protected areas under hurricane conditions. We will cover the set up of the computational grid, boundary conditions, model processes and data analysis.<br><br> The XBeach model runs on a windows platform. If you have a Mac, you can still run the model provided you have software (like parallels or vmware) that enables you to run windows programs. To download XBeach, see: [http://oss.deltares.nl/ http://oss.deltares.nl/]
| title = WILSIM as EKT tool
| abstract =
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = Hari Rajaram
| name = Randy LeVeque
| affiliation = University of Colorado
| affiliation = University of Washington, Seattle
| title = A very basic introduction to numerical methods for scientific computing
| participants =
| abstract = I will give a overview of the basic foundations of numerical methods for modeling earth systems described by ordinary and partial differential equations.  I will discuss the underlying foundations of finite-difference, finite-volume and finite-element methods using diffusion/conduction equations as an example. I will discuss explicit and implicit methods for time-stepping, and stability analysis of time-integration schemes.  All numerical methods for ODEs and PDEs in some form arrive at algebraic approximations, translating them into systems of algebraic equations. I will discuss basic algorithms for solving systems of algebraic equations, and how they are incorporated into various software packages, and also emphasize the importance of sparsity
| title = GeoClaw Software for Depth Average Flow
in matrix computations. I will include examples derived from practical problems in reactive transport and glacier dynamics to illustrate how basic concepts apply to real-world problems and make a difference when we want to develop efficient and accurate models.
| 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.
}}
}}
<br>
<br><br>


=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_2013_participant_list|Participants]]
*[[CSDMS_meeting_2015_participant_list|Participants meeting]]
*[[CSDMS_meeting_2013_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.
 
'''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>
 
=Travel, Lodging and Conference Center Information=
The meeting will be held at [http://www.colorado.edu/supportcu/sustainability-energy-and-environment-complex/find-us SEEC]<br>
Hotel: [http://www.millenniumhotels.com/usa/millenniumboulder/  Millennium Harvest House Hotel] <br>
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>


'''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.
=Pre-conference one-day Software Carpentry bootcamp=
<br>
<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:
# the Unix bash shell,
# Python programming and NumPy, and
# 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.  


=Student Scholarships=
'''Note:'''
The application period for the student scholarship is now closed.
* Registration is open till April 1<sup>st</sup> (or until program fill) and is handled through the 2016 meeting site.<br>
* 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.
<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=
* '''January 15<sup>th</sup>''': Registration opens
* '''March 1<sup>st</sup>''': Deadline for student scholarship applications
* '''April 1<sup>st</sup>''': Deadline for abstract submission & early registration
* '''May 10<sup>th</sup>''': Deadline late registration. ''Notice additional costs do apply.''
<!--* '''April 15<sup>th</sup>: Extended deadline for abstract submission & registration-->
*  '''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'')


=Travel, Lodging and Conference Center Information=
<center>[[image:CSDMS_high_res_weblogo.jpg|300px]][[image:SEN-logo.jpeg|300px]]</center>
The meeting will be held at [http://www2.ucar.edu/campus/center-green-campus UCAR Conference Center]<br>
'''<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.''
Lodging for meeting participants is at the [http://www.millenniumhotels.com/millenniumboulder/index.html  Millennium Harvest House Hotel]<br>
Please visit the [[Contact_us|CSDMS contact page]] for advice on ways to reach Boulder from the Denver Airport.
</noinclude><includeonly>
</noinclude><includeonly>
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== Registration form of {{BASEPAGENAME}} ==
== Registration form ==
<center><big>CSDMS Meeting 2013<br> '''CSDMS 2.0: Moving Forward'''</big></center><br><br>
<center><big>Joint CSDMS - SEN Meeting 2016<br> '''Capturing Climate Change'''</big></center><br><br>
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|All submitted registrations were reviewed by a CSDMS program committee. <br>
|All submitted registrations will be reviewed by a CSDMS program committee. <br>
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|Please direct all inquiries to: [mailto:csdms@colorado.edu csdms@colorado.edu] with subject title: CSDMS Meeting 2013
|Please direct all inquiries to Lynn McCready: [mailto:csdms@colorado.edu csdms@colorado.edu] with subject title: "Joint CSDMS - SEN Meeting 2016"
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| valign=top | {{{field|CSDMS meeting email address|mandatory|cols=27|rows=1}}}
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| valign=top | Phone:
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| valign=top style="width:300px;"|Apply for scholarships:
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<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)]''
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<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)]''
 
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{| class="formtable"
| valign=top style="width:300px;"|Join the pre-conference meeting:
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'''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.''
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| 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>
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| 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=dropbox|default = 1) Using TopoFlow in the classroom}}}
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| 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=dropbox|default=1) SEN}}}
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| valign=top |{{{field|CSDMS_meeting_select_clinics3|mandatory|input type=dropbox|default=1) LandLab}}}
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{{#switchtablink:Abstract|Continue ....}}


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| valign=top style="width:300px;"|I am submitting an abstract:
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|valign=top width="500" style="padding-left: 75px;"|<div id="submit_abstract_no">'''''You have till February 14<sup>th</sup> to change your mind and submit an abstract. No poster space will be reserved for you. '''''</div>
|valign=top width="500" style="padding-left: 75px;"|<div id="submit_abstract_no">'''''You have till April 1<sup>st</sup> to change your mind and submit an abstract. No poster space will be reserved for you for now. '''''</div>
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| valign=top style="width:300px;" |Email movie to csdms@colorado.edu; we will add youtube code in this field:
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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
Pay button.png

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 09/28/2021?




Reimbursement

4878178960 fe558ee9b0 o TEDxBoulder.jpg

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

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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)
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* 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.