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Towards a SelfConfigurable Weather Research and Forecasting System

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Towards a Self-Configurable Weather Research and ... Static Granularity MPEGs for WRF runs. Goals & Objectives. Address various User Community Needs ... – PowerPoint PPT presentation

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Title: Towards a SelfConfigurable Weather Research and Forecasting System


1
Towards a Self-Configurable Weather Research and
Forecasting System
Khalid Saleem, S. Masoud Sadjadi, Shu-Ching Chen
School of Computing and Information Sciences,
Florida International University, Miami, FL 33199
Motivation
Goals Objectives
Self-Configuration Policy
  • Meteorological researchers suggest hurricane
    modeling improvements by incorporating ensemble
    forecasting and model coupling
  • Ensemble/couple based forecast requires a scale
    out of computing resources achievable through
    Grid infrastructure
  • Ensemble/couple model will generate an order of
    magnitude more data for researchers to manage and
    study
  • On demand Forecast
  • Generate simulations results and visualizations
    for assets defined in user profile
  • Grid WRF Portal to provide a Comprehensive User
    Interface
  • Data Input Selection Ingest
  • Model Parameter Settings
  • Automate WRF simulation runs to support ensembles
  • Output Management and Organization
  • Visualizations for Forecast Data
  • Optimize WRF Model runs (Grid enhanced version)
  • Parallelize pre post aspects of WRF runs
  • Efficient Resource Allocation for WRF,
    visualization and GIS data sets
  • Visualization (Meteorologists/ER Teams/Business
    Continuity Managers)
  • Interactive Visualizations
  • JPEGs,GIFs overlaid on Maps
  • Zoom In/Zoom out Navigability
  • Runtime update of visualizations (Driven by Model
    Parameters)
  • Non-Interactive Visualizations
  • Static Granularity MPEGs for WRF runs

Challenges
  • Address various User Community Needs
  • Diverse Targeted audience (meteorologists, home
    owner, business owner, emergency response
    community) have different level of expectation
    and expertise for interpreting the output of a
    hurricane forecast.
  • Can we achieve improvements in performance by
    scaling out using Grid computing middleware?
  • WRF designed for Cluster architecture not Grid
  • Globus challenges include steep learning curve,
    reliability and performance issues
  • Addressing communication latency over Grid nodes
  • Realization of a cyber infrastructure that
    facilitates the investigation of model data and
    collaboration among researchers.

Grid WRF Portal Test Case (Hurricane Floyd)
  • Extraction of Atmospheric conditions from Global
    Forecast System (GFS) for 3 Domains (15 km, 5 km
    and 1km)
  • 6 Member Ensembles script generation
  • Perturbation of WRF Parameters
  • Only initial fields are perturbed and the physics
    model variables are left as is.
  • Fields may include Geo-potential height, wind
    velocity, atmospheric temperature and pressure
    etc.
  • Once finalized, the ensemble member simulations
    can be invoked via the portal and run over the
    grid infrastructure

Grid WRF Portal Meteorologists Interface
Grid WRF Portal Business Users Interface
Portal Architecture
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