a systems approach to sedimentation modeling for the twenty first century
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A Systems Approach to Sedimentation Modeling for the Twenty-first Century. Timothy R. Keen Oceanography Division Naval Research Laboratory Stennis Space Center, MS 39529. Objective. Discuss the factors affecting a systems approach to sedimentation modeling in coastal areas. Outline.

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a systems approach to sedimentation modeling for the twenty first century

A Systems Approach to Sedimentation Modeling for the Twenty-first Century

Timothy R. Keen

Oceanography Division

Naval Research Laboratory

Stennis Space Center, MS 39529

objective
Objective

Discuss the factors affecting a systems approach to sedimentation modeling in coastal areas.

outline
Outline
  • Overview of sedimentation modeling applications
  • Summarize different structural paradigms for sedimentation modeling
  • Examples of distributed modeling systems
  • Hardware/software/funding trends
estuarine and marine applications
Estuarine and Marine Applications
  • Environmental
  • Coastal engineering
  • Geological
  • Naval
environmental
Environmental
  • Problems
    • Sediment-water nutrient exchange
    • Pore water and solid phase chemistry
    • Dredging-related releases
  • Approaches
    • Bed models
    • Water quality sub-models
    • Fine grained sediment processes
coastal engineering
Coastal Engineering
  • Problems
    • Structural design
    • Morphological response
  • Approaches
    • Small-scale models
    • Range of time scales
    • Dependence on measurements
geological
Geological
  • Problems
    • Strata formation
    • Geomorphology
  • Approaches
    • Large time and space scales
    • Parametric models
    • Mixed sediment
naval
Naval
  • Problems
    • Mine Counter Measures
    • Expeditionary warfare
    • Naval Special Warfare
  • Approaches
    • Small time and space scales
    • Forecasting/nowcasting
    • Sensor performance
comparisons
Comparisons
  • Similarities
    • All need hydrodynamic forcing.
    • All need to calculate the quantity of sediment being entrained and/or transported.
  • Differences
    • They differ in time and spatial scales.
    • Different input/output requirements
coastal ocean hydrodynamic sedimentation modeling systems paradigms
Coastal Ocean Hydrodynamic-Sedimentation Modeling Systems: Paradigms
  • Tracer
  • Coupled
  • Linked
  • Stand-alone
  • Distributed
tracer paradigm
Tracer Paradigm
  • ADVANTAGES
  • Straightforward implementation
  • Feedback

CHARACTERISTICS

  • Uses hydrodynamic model grid
  • Uses hydrodynamic model mixing.
  • Global variables
  • Single platform

Currents/Waves

+

Sedimentation

  • DISADVANTAGES
  • Inefficient
  • Lack of flexibility
  • Numerics determined by hydrodynamic model
coupled paradigm
Coupled Paradigm
  • ADVANTAGES
  • Straightforward to implement
  • Sedimentation model can be more independent

CHARACTERISTICS

  • Same horizontal grid as hydrodynamic model
  • Time step is relaxed.
  • Vertical resolution can be different.
  • Global and local variables
  • Single platform

Currents/

Waves

Sedimentation

  • DISADVANTAGES
  • Limited Flexibility
  • Some numerics determined by hydrodynamic model
  • Limited Feedback
linked paradigm
Linked Paradigm
  • CHARACTERISTICS
  • Same horizontal grid as hydrodynamic model
  • Time constraint is relaxed.
  • Vertical resolution can be different.
  • Local variables
  • Multiple platforms
  • ADVANTAGES
  • Straightforward to implement
  • Models do not run concurrently
  • Efficient

Currents/

Waves

Sedimentation

  • DISADVANTAGES
  • Limited Flexibility
  • No Feedback
stand alone paradigm
Stand-Alone Paradigm
  • ADVANTAGES
  • Easy to implement
  • Flexibility
  • Efficient

CHARACTERISTICS

  • Sedimentation model is independent
  • All forcing fields interpolated
  • Sedimentation model physics/numerics separate
  • Local variables
  • Multiple platforms

Currents

Waves

  • DISADVANTAGES
  • Input processing
  • No Feedback

Sedimentation

distributed paradigm
Distributed Paradigm
  • ADVANTAGES
  • Flexibility
  • Feedback
  • Straightforward modification
  • Scalability

CHARACTERISTICS

  • Sedimentation model is independent
  • All forcing fields interpolated
  • Sedimentation model physics/numerics separate
  • Local/global variables
  • Multiple platforms

Server

Currents

Waves

  • DISADVANTAGES
  • Input/Output processing
  • Difficult to implement

Sedimentation

distributed system examples
Distributed System Examples
  • Distributed Marine Environmental Forecast System (DMEFS)
  • High Fidelity Simulation Of Littoral Environments (HFSOLE)
dmefs
DMEFS
  • Research test bed: demonstrate the integration of various technologies and components prior to DoD operational use
  • Open framework: operate climate, weather, and ocean (CWO) models.
  • Prototype system: couple atmosphere and ocean models into a distributed hindcast/nowcast/forecast system
dmefs1
DMEFS
  • DMEFS is an application and an infrastructure
    • A collection of METOC models, applications, utilities, and services
    • A software infrastructure comprised of a user front end, middleware, and interfaces to back end processors
dmefs summary
DMEFS Summary
  • Seamless access via a standard web browser.
  • User friendly
  • Easy dissemination of results
  • Brings powerful computational and database resources to user’s fingertips
high fidelity simulation of littoral environments hfsole
High Fidelity Simulation of Littoral Environments (HFSOLE)

Goal: Couple technologies that model the key phenomena governing the complex littoral environment

approach
Approach
  • Improve scalable nearshore models
  • Link scalable CWO models
  • Implement distributed capabilities on scalable DoD HPC platforms
hfsole components
HFSOLE: Components
  • Wind: COAMPS (FNMOC)
  • Waves: WAM, SWAN, STWAVE
  • Currents: ADCIRC, NCOM, HYCOM
  • Rivers: Adaptive Hydraulics Code (ADH)
  • Sedimentation: LSOM
  • Model integration framework:Common Object Request Broker Architecture (CORBA)
trends
Trends
  • Hardware, algorithms, and software
    • Scalable computers
    • Shared memory/message passing
    • Global computational grid development
    • Software Upgrading: e.g., Common High performance computing Software Support Initiative (CHSSI)
  • Funding for distributed modeling systems
    • ONR: Naval Battlespace Awareness (S&T Grand Challenge)
    • NSF: Information Technology Research (ITR) for Geosciences
conclusions
Conclusions
  • The common denominator for the different sedimentation modeling applications is not the model itself but the need to make efficient use of results.
  • Preliminary technology issues have been addressed.
  • Now is the time to develop a sedimentation modeling system that allows flexibility and ease of use.
acknowledgements
Acknowledgements

This work was sponsored by the Office of Naval Research and the Department of Defense High Performance Computing Modernization Office.

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