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LEAD Tools THRUST Group

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Settling on the overall system architecture ... Agreeing on a priority order and schedule for implementing the tools at each testbed ... Agree on overall plan ... – PowerPoint PPT presentation

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Title: LEAD Tools THRUST Group


1
LEAD Tools THRUST Group
Slides and Background Materialsfor LEAD All
Hands Meeting June 2004 Presentation at the
meeting to be given by Sara Graves and Mohan
Ramamurthy
2
Need more than high level concepts?
3
Main Issues for Tools Thrust
  • Settling on the overall system architecture
    (driven by scenarios) with emphasis on component
    dependencies
  • Agreeing on a priority order and schedule for
    implementing the tools at each testbed
  • Defining input/output interfaces among the tools
    in order to develop an interoperable set
  • Establishing a mechanism for turning tools into
    web/grid services and then creating those
    services
  • Implementing the workflow orchestration that
    chains the tools together into useful end-to-end
    systems

4
Key Tools
  • ADAM for data mining
  • ADAS for data assimilation
  • Decoders for format transformation
  • IDV visualization
  • LDM/IDD for real-time data delivery
  • OPeNDAP, ESML/OPeNDAP, ADDE data services
  • THREDDS catalog generation and services
  • WRF model
  • gridFTP for file transfer

5
Comprehensive Mining Testbed ComponentsDynamic
event detection and response using LEAD testbed
technologies
Mesocyclone Detection
Event
Notify
3
email
Yes
Mining
Store Events In Data Pool
Application Data Access
Local NWS radar
5
Data File Locations and other metadata
6
Online Data Pool
DODS Server
THREDDS Catalog
IDV
generate
4
1
8
ESML
Other data
LDM
METAR
NEXRAD Cache
Data Pool Order and FTP Access
Decoded
2
ESML
NCEPModels
7
Data Access
WCS
Maps
WMS
Subsetted Data
Map Access
OGC Viewer
6
Mining Testbed Component Explanations
  • Test beds receive LEAD data sets via LDM from
    upstream sites.
  • The LDM nodes are configured to decode and cache
    the incoming data streams to the sitess online
    data archive.
  • Mesocyclone detection and other ADaM mining
    algorithms are run on the NEXRAD incoming stream
    in near-real time in an effort to quickly target
    developing weather situations. A notification
    service is triggered by the event detection to
    alert listeners and possibly automatically send
    them subscribed data sets based on the ongoing
    event.
  • The UAH Data Pool provides online access to
    global passive microwave data and LEAD regional
    data. The Data Pool provides OpenDAP (DODS), FTP
    and HTTP access to the data sets.
  • Applications will primarily utilize OpenDAP
    protocols for data access.
  • THREDDS catalogs are generated daily (or more
    often if necessary) to provide metadata to
    applications on the location of data sets.
  • The Data Visualization and Access workflow
    contains OpenGIS-compliant data services that
    provide public data access and visualization
    capabilities to data pool contents.
  • Users will receive notification of detected
    events and will be able to access the data
    through usual FTP/HTTP, applications such as IDV
    using OpenDAP protocols, and through OpenGIS
    protocols such as WMS and WCS.

7
Phased Implementation NeededBut with concurrent
work on some aspects of each phase
  • Define high level, comprehensive architecture(s)
    such as the mining diagram shown earlier
  • Start by building minimal end-to-end system (show
    later)
  • Define interfaces among tools to facilitate
    parallel work
  • Add remaining key tools
  • Convert tools to web services
  • Develop workflow orchestration for existing tools
  • Integrate tools and services into LEAD portal and
    MyLEAD
  • Incorporate web services and workflow into GRID
    framework

8
Initial End-to-End SystemWalk before we try to
run
7
WRFoutput to IDVinput Decoder
Eta to WRFinput Decoder
IDV
LDM
WRF Regional Model
9
Minimal System Component Explanations
  • Initial (3 month) Components
  • Test beds receive LEAD NCEP ETA data set via LDM.
  • The LDM nodes are configured to decode and cache
    the incoming data streams into a form suitable
    for initializing the WRF regional model and store
    the decoded datasets into the sitess online data
    archive.
  • WRF regional model reads the decoded data from
    the testbed archive and runs regional model.
  • WRF regional model output is stored into testbed
    data store.
  • Applications will initially utilize OpenDAP
    protocols for data access.
  • THREDDS catalogs are generated for all datasets
    on an ongoing basis
  • Initial visualization of datasets is via the IDV.
  • Next Steps (1 year)
  • Building on experience with minimal system,
    define interfaces for additional tools and
    datasets
  • Incorporate ADDE and ESML/OPeNDAP for serving
    other data types
  • Replace NCEP ETA initialization for WRF with
    ADAS-based true data assimilation system.
  • Utilize ADAM data mining for model trigger and
    guidance mechanism (as shown in the Comprehensive
    diagram.
  • Develop LEAD-specific visualization facilities
    for all data types.
  • Construct orchestrated workflow for minimal
    system components
  • Select several tools and develop web prototype
    web services versions

10
Advantages of Minimalist Approach
  • Gets end-to-end system running soon (can
    demonstrate now with Workstation ETA in place of
    WRF)
  • Clarifies remaining tool interface work
  • Provides examples of working tools for
    conversion to Web services
  • Establishes working testbed of tools for workflow
    orchestration group
  • Gives us working system to demonstrate and
    experiment with
  • Allows each group to make progress in own area of
    expertise in parallel

11
Unidata Focus
  • Tailor IDV for LEAD
  • Replace Unidata Workstation ETA with WRF
  • Modify current ETA decoder to create WRF
    initialization data
  • Create WRF output decoder for CF conventions
  • Support other testbeds implementing LDM,
    decoders, THREDDS, OPeNDAP, and ADDE
  • Work with OU on ADAS for initialization
  • Work with UAH to incorporate ADAM and
    ESML/OPeNDAP
  • Work with CS experts on conversion of tools to
    orchestrated services

12
Next Steps
  • Discuss and refine the suggested approach to
    tools planning
  • Agree on overall plan
  • Develop very specific plans and commitments for
    each set of tools developers for 3-month time
    frame
  • Develop specific plans for 1-year time frame
  • Get realistic tools implementation commitments
    from testbed sites
  • At 3-month intervals, each tools developer and
    testbed site reports on progress and revised
    goals for next 3 months
  • Based on progress reports and revised goals for
    each individual group, publish a revised overall
    plan annually
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