CSDMS meeting 2015: Difference between revisions

From CSDMS
No edit summary
No edit summary
Line 128: Line 128:
}}
}}
{{Keynote-clinics
{{Keynote-clinics
| name = CSDMS Staff
| name = Mark Piper & Eric Hutton
| affiliation = CSDMS, University of Colorado
| affiliation = CSDMS, University of Colorado
| title = WMT (Web Modeling Tool) Clinic
| title = WMT and the Dakota iterative systems toolkit
| abstract =
| abstract = 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:<br><br>·What are the important parameters in my model?<br>·How safe, robust, and reliable is my model?<br>·What parameter values best match my observational data?<br><br>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:<br><br>·vector, centered, list and multidimensional parameter studies<br>·design and analysis of computer experiments with Monte Carlo and Latin Hypercube sampling methods<br>·uncertainty quantification with sampling, polynomial chaos expansion and stocastic collocation techniques<br><br>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.<br>
}}
}}
{{Keynote-clinics
{{Keynote-clinics

Revision as of 15:30, 27 January 2015

CSDMS 2015 annual meeting

Models meet Data, Data meet Models

May 26-28th 2015 in Boulder Colorado, USA




4878178960 fe558ee9b0 o TEDxBoulder.jpg

Invited Keynote speakers

Brian Fath
Department of Biological Sciences, Towson University, Towson, Maryland, USA
International Institute for Applied Systems Analysis, Laxenburg, Austria

{{{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}}}
GeoClaw


Joellen Russell
University of Arizona
{{{participants}}}
Paleo-climate Modeling


Forrest Hoffman
Oak Ridge National Laboratory
{{{participants}}}
International Land Model Benchmarking Project


Phaedra Upton
GNS Science
{{{participants}}}
Geodynamics Modeling


Lejo Flores
Boise State University
{{{participants}}}
Critical Zone Modeling


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.


Mary Hill
University of Kansas
{{{participants}}}
Data/model assessment


Raleigh Hood
University of Maryland
{{{participants}}}
Modeling the Chesapeake Bay


Ehab Meselhe
The Water Institute of the Gulf
{{{participants}}}
Integrated Compartment Model (ICM)


Clinic Invitees

Zhen Cheng (Charlie) & Tian-Jian Hsu (Tom)
Center for Applied Coastal Research, Civil & Environmental Engineering, 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.
Greg Tucker
University of Colorado
{{{participants}}}
LandLab
Phaedra Upton & Sam Roy
GNS Science & University of Maine
{{{participants}}}
Geodynamics
Jon Pollak
CUASHI
{{{participants}}}
CUASHI Water Data Center
Chris Duffy
Pennsylvania State University
{{{participants}}}
PIHM/HydroTerre
Jon Goodall
University of Virginia
{{{participants}}}
Integrated Model Concepts
Brad Murray
Duke
{{{participants}}}
Coastline Evolution Model (CEM)
Irina Overeem
CSDMS, University of Colorado
{{{participants}}}
Bringing CSDMS to the Classroom
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.
Mark Piper & Eric Hutton
CSDMS, University of Colorado
{{{participants}}}
Basic Model Interface (BMI)

Student Scholarships

This year CSDMS is offering a limited number of scholarships (up to 10) for graduate students to attend the CSDMS annual meeting. To be eligible, graduate students need to meet the following requirements:

  • 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

Please submit your materials to csdms@colorado.edu by March 1, 2015.

Important dates

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

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