Form:CSDMS annual meeting

CSDMS 2015 Annual Meeting
Models meet Data, Data meet Models

May 26 -28^th 2015, Boulder Colorado, USA

Registration deadline extended with 2weeks, till: April 15^th

Registration

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Objectives and general description

The CSDMS Meeting 2015 will bring the interaction between data and models to your attention.

The meeting includes: 1) State-of-the art keynote presentations in earth-surface dynamics and modeling; 2) Hands-on clinics related to community models, tools and approaches; 3) Transformative software products and approaches designed to be accessible, easy to use, and relevant; 4) Breakout sessions for Working, Focus Research Groups and the Initiatives ; 5) Poster Sessions; and more.

Poster Information: The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2015.

Draft Agenda

Keynote Speakers

Brian Fath Towson University; International Institute for Applied Systems Analysis {{{participants}}}

Quo Vadis Ecosystem? Insights from Ecological Modelling and Systems Ecology

The question of ecosystem dynamics is relevant from a scientific and management perspective. Knowing the natural tendencies and trajectories of ecosystems will assist in planning for their development and restoration. One key feature is how the ecosystem uses the available energy flows to move further from thermodynamic equilibrium and increase its overall complexity in terms of total biomass, biodiversity, network connectivity, and information. In this presentation, I review some of the main concepts that have been used to identify these dynamic trajectories. Namely, it can be shown using network analysis that a number of ecological goal functions pertaining to energy, exergy, biomass, embodied energy, entropy, and information are complementary displaying various angles of the same general complexification phenomena.

Randy LeVeque University of Washington {{{participants}}}

The GeoClaw Software

GeoClaw is an open source Fortran/Python package based on Clawpack (conservation laws package), which implements high-resolution finite volume methods for solving wave propagation problems with adaptive mesh refinement. GeoClaw was originally developed for tsunami modeling and been validated via benchmarking workshops of the National Tsunami Hazard Mitigation Program for use in hazard assessment studies funded through this program. Current project include developing new tsunami inundation maps for the State of Washington and the development of new probabilistic tsunami hazard assessment (PTHA) methodologies. The GeoClaw code has also been extended to the study of storm surge and forms the basis for D-Claw, a debris flow and landslide code being developed at the USGS and recently used to model the 2014 Oso, Washington landslide, for example.

Stefano Nativi Institute of Atmospheric Pollution Research of the National Research Council of Italy (CNR-IIA) {{{participants}}}

GEOSS and its Common Infrastructure

Kyle Straub Tulane {{{participants}}}

Signals of Relative Sea Level perturbations: Defining the divide between autogenic signal shredding vs. preservation in the stratigraphic record

Kyle M. Straub and Qi Li Tulane University, Department of Earth and Environmental Sciences Recent theoretical work suggests that autogenic processes in sediment transport systems have the capacity to shred signals of environmental and tectonic perturbations prior to transfer to the stratigraphic record. We view this theory as a major conceptual and quantitative breakthrough in long time scale Earth-surface processes and stratigraphy, but the general theory still needs to be adapted to deal with specific types of signals. Many argue that the tug of Relative Sea Level (RSL) change represents the most important boundary condition forcing affecting continental margin transport systems. However, we still lack quantitative theory to explain what properties RSL cycles must have to be stored in stratigraphy, thus limiting the usefulness of stratigraphy for defining paleo-environments. Results from our previously conducted laboratory experiments suggest that RSL cycles with amplitudes less than a channel depth and of periodicities less than the amount of time necessary to deposit, on average, one channel depth of stratigraphy over a delta-top are susceptible to signal shredding. Our hypothesis is supported using existing data sets and new numerical and physical experiments in which the surface process response and preserved record of RSL cycles of varying magnitudes and periodicities is constrained. Quantitative theory and predictions produced from this work is benchmarked against stratigraphy from the Late Miocene to Quaternary stratigraphy of the Mississippi Delta. During this time interval a significant change in the magnitude and periodicity of RSL cycles occurred. RSL cycles in the Late Miocene for the Mississippi Delta are predicted to be shredded, while more recent cycles are predicted to be preserved.

Lejo Flores Boise State University {{{participants}}}

Critical Zone Observratory

Phaedra Upton GNS Science {{{participants}}}

Models meet Data, Earth Surface meet Geodynamics

Phaedra Upton, Peter O. Koons, Sam G. Roy, Jamie D. Howarth, Dave Craw The Earth’s surface is a boundary layer between internally-driven geodynamics and atmospheric forcing. In much of what we do as landscape modellers, our analysis of Earth surface can be enhanced by consideration and understanding of the substrate acted upon by hillslope, riverine and glacial processes. To explore the influence of crustal strength on patterns of fluvial incision, we use a conservative scaling rule to relate rock erodibility to field measurements of cohesive strength. In other models, grain sizes produced upon the erosion of rock are made a function of field measured fracture density values. By combining 3D geodynamic codes with landscape evolution models we are able to explore the sensitivity of surface processes to topographic and tectonic stresses, geological history, fault damage, seismic accelerations, pore pressures, and fluid flow. We present several examples where useful interpretations were made by integrating field, lab, and experimental data with geodynamic models, landscape evolution models, or a combination of both. Our examples are bias toward collisional settings – the Himalaya, the Southern Alps and Taiwan, but the approach is equally valid when considering strike-slip or extensional settings.

Forrest Hoffman Oakridge National Laboratory {{{participants}}}

International Land Model Benchmarking Project

Mary Hill University of Kansas {{{participants}}}

Testing model analysis frameworks

Model analysis frameworks specify ideas by which models and data are combined to simulate a system on interest. A given modeling framework will provide methods for model parameterization, data and model error characterization, sensitivity analysis (including identifying observations and parameters important to calibration and prediction), uncertainty quantification, and so on. Some model analysis frameworks suggest a narrow range of methods, while other frameworks try to place a broader range of methods in context. Testing is required to understand how well a model analysis framework is likely to work in practice. Commonly models are constructed to produce predictions, and here the accuracy and precision of predictions are considered. The design of meaningful tests depends in part on the timing of system dynamics. In some circumstances the predicted quantity is readily measured and changes quickly, such as for weather (temperature, wind and precipitation), floods, and hurricanes. In such cases meaningful tests involve comparing predictions and measured values and tests can be conducted daily, hourly or even more frequently. The benchmarking tests in rainfall-runoff modeling, such as HEPEX, are in this category. The theoretical rating curves of Kean and Smith provide promise for high flow predictions. Though often challenged by measurement difficulties, short timeframe systems provide the simplest circumstance for conducting meaningful tests of model analysis frameworks. If measurements are not readily available and(or) the system responds to changes over decades or centuries, as generally occurs for climate change, saltwater intrusion of groundwater systems, and dewatering of aquifers, prediction accuracy needs to be evaluated in other ways. For example, in recent work two methods were used to identify the likely accuracy of different methods used to construct models of groundwater systems (including parameterization methods): (1) results of complex and simple models were compared and (2) cross-validation experiments. These and other tests can require massive computational resources for any but the simplest of problems. In this talk we discuss the importance of model framework testing in these longer-term circumstances and provide examples of tests from several recent publications. We further suggest that for these long-term systems, the design and performance of such tests are essential for the responsible development of model frameworks, are critical for models of these environmental systems to provide enduring insights, and are one of the most important uses of high performance computing in natural resource evaluation.

Raleigh Hood University of Maryland {{{participants}}}

Modeling the Chesapeake Bay

Ehab Meselhe The Water Institute of the Gulf {{{participants}}}

Coastal Eco-System Integrated Compartment Model (ICM)

The Integrated Compartment Model (ICM) is a comprehensive and computationally efficient numerical tool that can be used to provide insights about coastal ecosystems and evaluate restoration and protection strategies. It includes physical and ecological processes, such as, hydrology, nutrients, vegetation, and morphology. The ICM can be used to estimate the individual and cumulative effects of restoration projects or strategies on the landscape and ecosystem and the level of impact/risk to communities. The ICM utilizes habitat suitability indices (HSIs) to predict broad spatial patterns of habitat change. It also provides input parameters to a more dynamic fish and shellfish community models to quantitatively predict potential changes in important fishery resources in the future. The model is also used to examine the impact of climate change and future environmental scenarios (e.g. precipitation, Eustatic sea level rise, subsidence, nutrient loading, riverine runoff, storms, etc.) on the landscape and on the effectiveness of restoration or protection strategies. The ICM is publically accessible code and research groups in the coastal ecosystem restoration and protection field are encouraged to explore its utility as a computationally efficient tool to examine ecosystems’ response to physical or ecological changes either due to future projections or to the implementation of restoration strategies.

Jean-Arthur Olive MIT / WHOI Joint Program in Oceanography {{{participants}}}

Modes of extensional faulting controlled by surface processes

Jean-Arthur Olive, Mark D. Behn, and Luca C. Malatesta We investigate the feedbacks between surface processes and tectonics in an extensional setting by coupling a 2-D geodynamical model with a landscape evolution law. Focusing on the evolution of a single normal fault, we show that surface processes significantly enhance the amount of horizontal extension a fault can accommodate before being abandoned in favor of a new fault. In simulations with very slow erosion rates, a 15 km- thick brittle layer extends via a succession of crosscutting short-lived faults (heave < 5 km). By contrast, when erosion rates are comparable to the regional extension velocity deformation is accommodated on long-lived faults (heave >10 km). Using simple scaling arguments, we quantify the effect of surface mass removal on the force balance acting on a growing normal fault. This leads us to propose that the major range-bounding normal faults observed in many continental rifts owe their large offsets to erosional and depositional processes.

Nick Cohn Oregon State University {{{participants}}}

Towards assessing the coastal zone as an integrated system: the development of a coupled nearshore and aeolian dune model

N. Cohn, E.B. Goldstein, P. Ruggiero, L. J. Moore, O. Duran, J.A. Roelvink, B. Hoonhout Coastal environments are complex because of the interplay between aeolian and nearshore processes. Waves, currents, tides, and winds drive significant short term (<weekly) changes to coastal landforms which augment longer term (> annual) geomorphic trends. Great strides have been made in recent years regarding our ability to model coastal geomorphic change in this range of societally relevant time scales. However, a great disparity exists in modeling coastal evolution because subaqueous and subaerial processes are typically assessed completely independent of one another. By neglecting the co-evolution of subtidal and supratidal regions within our current framework, we are precluded from fully capturing non-linear dynamics of these complex systems. This has implications for predicting coastal change during both fair weather and storm conditions, hindering our ability to answer important scientific questions related to coastal vulnerability and beach building. Recognizing these historic limitations, here we present the outline for a coupled subaqueous (XBeach) and subaerial (Coastal Dune Model) morphodynamic modeling system that is in active development with the goal of exploring coastal co-evolution on daily to decadal timescales. Furthermore we present recently collected datasets of beach and dune morphology in the Pacific Northwest US that will be used to validate trends observed within the coupled model platform.

Jennifer Glaubius University of Kansas {{{participants}}}

Coupled Human and Natural Systems: Testing the Impact of Agricultural Terraces on Landscape Evolution

Jennifer E. Glaubius and Xingong Li Humans alter natural geomorphic systems by modifying terrain morphology and through on-going actions that change patterns of sediment erosion, transport, and deposition. Long-term interactions between humans and the environment can be examined using numerical modeling. Human modifications of the landscape such as land cover change and agricultural tillage have been implemented within some landscape evolution models, yet little effort has been made to incorporate agricultural terraces. Terraces of various forms have been constructed for millennia in the Mediterranean, Southeast Asia, and South America; in those regions some terraces have undergone cycles of use, abandonment, and reuse. Current implementations of terraces in existing models are as static objects that uniformly impact landscape evolution, yet empirical studies have shown that terrace impact depends upon whether they are maintained or abandoned. We previously tested a simple terrace model that included a single terrace wall on a synthetic hillside with 20% slope for the impacts of maintenance and abandonment. In this research we modify the terrace model to include a wider variety of terrace forms and couple it with a landscape evolution model to test the extent terraced terrain morphology is related to terrace form. We also test how landscape evolution, after abandonment of terraced fields, differs based on length of time the terraces were maintained. We argue that construction and maintenance of terraces has a significant impact on the spatial patterning of sediment erosion and deposition and thus landscape evolution modeling of terraced terrain requires coupling with a dynamic model of terrace use.

Clinic Leaders

Tuesday (1^st day)

Mark Piper & Eric Hutton CSDMS, University of Colorado {{{participants}}}

WMT and the Dakota iterative systems toolkit

Dakota (https://dakota.sandia.gov) is an open-source software toolkit, designed and developed at Sandia National Laboratories, that provides a library of iterative systems analysis methods, including sensitivity analysis, uncertainty quantification, optimization, and parameter estimation. Dakota can be used to answer questions such as: ·What are the important parameters in my model? ·How safe, robust, and reliable is my model? ·What parameter values best match my observational data? Dakota has been installed on the CSDMS supercomputer, beach, and is available to all registered users. The full set of Dakota methods can be invoked from the command line on beach; however, this requires detailed knowledge of Dakota, including how to set up a Dakota input file, and how to pass parameters and responses between a model and Dakota. To make Dakota more accessible to the CSDMS community, a subset of its functionality has been configured to run through the CSDMS Web Modeling Tool (WMT; https://csdms.colorado.edu/wmt). WMT provides access to the following Dakota methods: ·vector, centered, list and multidimensional parameter studies ·design and analysis of computer experiments with Monte Carlo and Latin Hypercube sampling methods ·uncertainty quantification with sampling, polynomial chaos expansion and stocastic collocation techniques In this clinic, we'll provide an overview of Dakota, then, through WMT, set up and perform a series of numerical experiments with Dakota on beach, and evaluate the results.

Chris Duffy Pennsylvania State University {{{participants}}}

Accessing National Data and Distributed Models for Catchment Simulation

Chris Duffy, Gopal Bhatt, Lorne Leonard The objective of the clinic is: (1) to introduce the concept of essential terrestrial variables (ETVs) and HydroTerre1 as a continental scale ETV-repository for catchment modeling, and (2) to demonstrate the use of ETV’s with the Penn State Integrated Hydrologic Model (PIHM) for simulating the catchment water cycle. PIHM2 is a multi-process, multi-scale hydrologic model where the hydrologic processes are fully coupled using the semi-discrete finite volume method. PIHMgis3 is an open source, platform independent, and extensible distributed modeling framework for setup, execute, and analyze model simulations. Through the procedural framework of PIHMgis, participants will be introduced to multiple data processing tools, and presented with a live demonstration of (i) accessing HydroTerre ETV service, (ii) ETV geodata translator for PIHM, (iii) automated ingestion of model parameters from national geospatial databases, (iv) conditional domain decomposition of the watershed into quality triangular mesh elements for numerical simulation, (v) performing multi-state distributed hydrologic model simulations on desktop, and (vi) visualization of model results as time-series plots and geo-spatial maps. In the clinic, an application is developed for a small-scale hillslope catchment Susquehanna-Shalehills Critical Zone Observatory (SSHCZO), which serves as a guided example of the desktop workflow, which is readily used to develop your own catchment simulation. 1 http://www.hydroterre.psu.edu/HydroTerre/Help/Ethos.aspx 2 http://www.pihm.psu.edu/index.html 3 http://www.pihm.psu.edu/pihmgis_home.html

Phaedra Upton & Sam Roy GNS Science & University of Maine {{{participants}}}

Exploring the influence of fault damage and fault slip on the patterns and rates of fluvial incision using CHILD and Matlab

Sam Roy1, Phaedra Upton2, Peter O. Koons1 and Greg E. Tucker3 1 Department of Earth Sciences, University of Maine, Orono, ME, USA 2 GNS Science, Lower Hutt, New Zealand 3 CIRES and Department of Geological Sciences, University of Colorado, Boulder, CO, USA The interplay between tectonics and surface processes has long been recognized and explored through field observations, laboratory studies, and analogue and numerical modeling. However, the dependencies that link tectonics and the surface are complex and often difficult to unravel and visualize with current methods and concepts. To address these difficulties, it is common to create predictive models with algorithms that simplify these natural processes and limit their dependencies on one another. In this clinic, we share some simple methods for isolating two tectonic processes: fault damage and fault slip, and explore how they influence the rates and patterns of surface processes. These tectonic processes are introduced as 3D patterns of rock damage and kinematics in a landscape evolution model using Matlab and CHILD. First, we discuss methods for scaling rock damage to erodibility for use in a stream power model. The erodibility field is based on the generic 3D geometry of planar fault damage zones. Next, we include fault slip by using a 3D kinematic solution for dip-slip, oblique-slip, and strike-slip motion. These models include a single slip plane that divides a block of crust into fixed and mobile components. Finally, we combine the rock damage and kinematic fields to observe their combined influence. In these combined models, rock damage becomes a function of the amount of motion accommodated by the slip plane. Throughout the clinic we will explain our methods, interpret model results, discuss their limitations, and postulate ways to improve upon them. The simple methods we employ in this clinic lay a foundation of understanding that can be broadened by use of dynamic, fully coupled models.

Zhen Cheng (Charlie) & Tian-Jian Hsu (Tom) University of Delaware {{{participants}}}

Modeling Coastal Sediment Transport Using OpenFOAM®

During a clinic session in the 2013 CSDMS annual meeting, the OpenFOAM®, an open source computational fluid dynamics (CFD) platform, was first introduced by Dr. Xiaofeng Liu (now at Penn State University) for modeling general earth surface dynamics. OpenFOAM® provides various libraries, solvers and toolboxes for solving various fluid physics via finite volume method. The objective of this clinic is to further discuss its recent development and applications to coastal sediment transport. The clinic will start with an overview of a range of coastal applications using OpenFOAM®. We will then focus on a recently released solver, SedFOAM, for modeling sand transport by using an Eulerian two-phase flow methodology. Specifically, we will focus on applying the model to study wave-driven sheet flows and the occurrence of momentary bed failure. The code can be downloaded via CSDMS code repository and participants will receive a hands-on training of the coding style, available numerical schemes in OpenFOAM®, computational domain setup, input/output and model result analysis. Knowledge of C++, object-oriented programming, and parallel computing is not required but will be helpful.

Wednesday (2^nd day)

Brad Murray & Andrew Ashton Duke University {{{participants}}}

Coastline Evolution Model (CEM)

The Coastline Evolution Model (CEM) addresses coastline changes that arise from gradients in the net alongshore transport, over timescales that are long compared to storm cycles, and spatial scales that are larger than the cross-shore extent of the shoreface (kilometers on typical open ocean coasts). In the model, coastline morphodynamic feedbacks arise as coastline shapes determine spatial patterns of sediment flux, and gradients in that flux cause changes in shape. In this model system, waves approach from a wide range of directions, and the influences of the whole ‘wave climate’ combine to determine coastline changes and patterns. Wave shadowing—in which protruding coastline features change the local wave climates affecting other parts of the coastline—also plays a key role in coastline evolution in this model. A number of other processes or influences have been added to the model, including: river sediment input and delta evolution; effects of the composition of underlying rocks; two-way interactions between beach sediment and cliff erosion; and human shoreline stabilization. This clinic will combine 1) explanations of model principles, assumptions, and limitations with 2) the opportunity for participants to gain some familiarity with running the model, by conducting their own simple model experiments.

Eric Hutton & Mark Piper CSDMS, University of Colorado {{{participants}}}

Wrapping Existing Models with the Basic Modeling Interface

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 (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 C, C++, Fortran, 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. Models that provide a BMI can be incorporated into a modeling framework, such as the CSDMS model coupling framework, where they gain new capabilities provided by the framework. The CSDMS framework allows coupling of models even if they differ in: • programming language, • variable names, • variable units, • time-stepping scheme or • computational grid is different. Framework models also gain the ability to write output variables to NetCDF files, a graphical user interface, and the ability to run within the CSDMS Web Tool. This clinic will explain the key concepts of BMI (and CSDMS Standard Names), and will demonstrate, through example, how to implement a BMI for an existing model. It will also include an overview of the CSDMS Standard Names, which provide a uniform way to map input and output variable names between component models as part of a BMI implementation. Participants are encouraged to read the associated CSDMS wiki pages in advance. See • BMI Description • CSDMS Standard Names

Jon Goodall University of Virginia {{{participants}}}

Integrated Modeling Concepts

This clinic is intended for early career researchers interested in gaining an understanding of basic integrated modeling concepts as they relate to modeling earth science systems. The class will present key literature in the field, core concepts and terminology, and different integrated modeling systems. Past, present, and future trends for designing integrating modeling systems will be discussed. Participants will also gain experience applying integrated modeling concepts using CSDMS for simplified integrated modeling examples.

Thursday (3^rd day)

Irina Overeem & Mark Piper CSDMS, University of Colorado {{{participants}}}

Bringing CSDMS Models into the Classroom

CSDMS has developed a Web-based Modeling Tool – the WMT. WMT allows users to select models, to edit model parameters, and run the model on the CSDMS High-Performance Computing System. The web interface makes it straightforward to configure different model components and run a coupled model simulation. Users can monitor progress of simulations and download model output. CSDMS has developed educational labs that use the WMT to teach quantitative concepts in geomorphology, hydrology, coastal evolution. These labs are intended to be used by Teaching assistants and Faculty alike. Descriptions of 4-hr hands-on labs have been developed for HydroTrend, Plume, Sedflux, CHILD, ERODE and ROMS-Lite. These labs include instructions for students to run the models and explore dominant parameters in sets of simulations. Learning objectives are split between topical concepts, on climate change and sediment transport amongst many others, and modeling strategies, modeling philosophy and critical assessment of model results. In this clinic, we will provide an overview of the available models and labs, and their themes and active learning objectives. We will discuss the requirements and logistics of using the WMT in your classroom. We will run some simulations hands-on, and walk through one lab in more detail as a demonstration. Finally, the workshop intends to discuss future developments for undergraduate course use with the participants.

Greg Tucker CIRES, University of Colorado {{{participants}}}

Landlab: A Python library for building, exploring, and coupling 2D surface-process models

Gregory E. Tucker 1, Daniel E.J. Hobley 1, Jordan M. Adams 2, Sai S. Nudurupati 3, Eric Hutton 4, Nicole M. Gasparini 2, and Erkan Istanbulluoglu 3 1 CIRES and Department of Geological Sciences, University of Colorado at Boulder 2 Department of Earth and Environmental Sciences, Tulane University 3 Department of Civil and Environmental Engineering, University of Washington 4 CSDMS, University of Colorado at Boulder Writing the software to implement a two-dimensional numerical model can be a daunting exercise, even when the underlying discretization and numerical schemes are relatively simple. The challenge is even greater when the desired model includes ``advanced features such as an unstructured grid, a staggered-grid numerical solver, or input/output operations on gridded data. Landlab is a Python-language programming library that makes the process of 2D model-building simpler and more efficient. Landlab's core features include: (1) a gridding engine that lets you create and configure a structured or unstructured grid in just a few lines of code, and to attach data directly to the grid; (2) a library of pre-built process components that saves you from having to re-invent the wheel with common geoscience algorithms (such as flow routing on gridded terrain, linear and nonlinear diffusion, and elastic plate flexure); (3) a mechanism for coupling components together to create integrated model; and (4) a suite of tools for input/output and other common operations. Although Landlab's components are primarily related to earth-surface dynamics (including geomorphology and hydrology), its basic framework is applicable to many types of geophysical system. This clinic provides a hands-on tutorial introduction to Landlab. Participants will learn about Landlab's capabilities, and how to use it to build and run simple 2D models. Familiarity with the Python language and the Numpy library is helpful but not critical.

Jon Pollak & Jon Goodall CUASHI {{{participants}}}

Data Access and Publication with the CUAHSI Water Data Center

The CUAHSI Water Data Center (WDC) is community governed, NSF funded facility that enables data access and publication through a web services oriented architecture. The WDC maintains the largest catalog of time series water data in the world, which includes data sources that range from global to local coverage and include data sets that describe climate, streams, and soil. This session will touch upon a number of functions of the WDC including: • How can I use WDC services to fulfill NSF Data Management requirements? • What data are available through the WDC? • How can I access data? • How can I write custom software that accesses data published with the WDC? Participants should anticipate this information to be presented through slides and should expect to leave with a comprehensive understanding of the research support services offered by the WDC.

Participants

Interested to see who registered for the meeting as of 05/04/2024?

• Participants
• Submitted abstracts

Reimbursement

Within its budget, CSDMS intends to support member applicants to attend the annual meeting. Towards this goal, we encourage members to fully or partially cover their expenses if capable. We additionally thank those in the industry and agency fields for understanding that 1) we cannot compensate federal agency participants since our own funding is from NSF, and 2) we request that our industrial/ corporate participants cover their own costs thereby allowing more academic participants to attend.

To the extent possible, CSDMS intends to reimburse the registration fee, lodging (shared rooms at 100% and single rooms at 50% at Millennium Harvest House Hotel), and a limited amount of travel expenses of qualified registrants - those members who have attended all three days of the meeting and are not industry or federal employees.

Important for foreign travelers requesting reimbursement: If you need a visa to travel to USA, select a business visa. If you need an invitation letter, please email csdms@colorado.edu as soon as possible. Also indicate whether specific wording is required in the letter. Second, we will need to copy the entry stamp in your passport sometime during the meeting as proof that you were here on business as required by US tax laws for reimbursement (especially when dealing with airfare.) We are only able to provide reimbursement for airfare within the U.S. All airfare that is being reimbursed must be for airlines that are U.S. flag carriers.

Travel, Lodging and Conference Center Information

The meeting will be held at UCAR Conference Center
Lodging for meeting participants is at the Millennium Harvest House Hotel under the CSDMS room block. Our online registration process will enable you to reserve a room.

Student Scholarships

Submission for the student scholarships is closed. We will express who will receive the scholarship to all who applied shortly.
This year CSDMS is offering a limited number of scholarships (up to 12) for graduate students to attend the CSDMS annual meeting. Three scholarships will be offered for the purpose of increasing participation of underrepresented students. To be eligible, graduate students need to meet the following requirements:

• Attend the whole meeting (May 26-28, 2015)
• 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 26-28 May 2015 not offered in the conference schedule

Important dates

• February 2^nd: Registration opens
• March 1^st: Deadline for student scholarship applications
• April 1^st: Deadline for abstract submission & registration
• April 15^th: Extended deadline for abstract submission & registration
• May 26-28^th: CSDMS annual meeting
• May 29^th: CSDMS Executive and Steering committees meeting (by invitation only)