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Coordination of Common Modeling Infrastructure

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Title: Coordination of Common Modeling Infrastructure


1
Coordination of Common Modeling Infrastructure
Climate
Data Assimilation
Weather
Cecelia DeLuca WGCM/WMP Meeting, Exeter,
UK cdeluca_at_ucar.edu Oct 6, 2005
2
Outline
  • What is ESMF?
  • How Do ESMF and PRISM Differ?
  • Why Do ESMF and PRISM Differ?
  • Can ESMF and PRISM Be Usefully Combined?
  • Model Metadata and Earth System Curator
  • How Can WMP Help?

3
ESMF Background
ESMF grew out of the now defunct Common Modeling
Infrastructure Working Group, which involved many
operational and research centers in the
U.S.(Steve Zebiak and Robert Dickenson chairs).
  • Three linked proposals were funded by NASA ESTO
    in 2002
  • Core framework(Killeen/NCAR)
  • Modeling applications (Marshall/MIT)
  • Data assimilation applications (da Silva/NASA
    GSFC)

Original ESMF applicationsNOAA GFDL
atmospheresNOAA GFDL MOM4 oceanNOAA NCEP
atmosphere, analysesNASA GMAO models and
GEOS-5NASA/COLA Poseidon oceanLANL POP ocean
and CICENCAR WRFNCAR CCSMMITgcm atmosphere and
ocean
4
New ESMF-Based ProgramsFunding for Science,
Adoption, and Core Development
5
What is ESMF?
  • ESMF provides tools for turning model codes into
    components with standard interfaces and standard
    drivers.
  • ESMF provides data structures and common
    utilities that components use for routine
    services such as data communications, regridding,
    time management, configuration, and message
    logging.
  • Outputs and outcomes
  • Open-source, collaboratively developed software
    utilities and coupling interfaces, exhaustive
    test suite, documentation, support and training.
  • A federation of geophysical components that can
    be assembled in multiple ways, using different
    drivers and different couplers.
  • A Earth science organization that has focused
    interactions at many levels software engineer
    and support scientist, technical and scientific
    manager, scientist, director, sponsor.
  • An extended community with strong connections and
    many diverse science options.

6
ESMF Components and Couplers
Application ExampleGEOS-5 AGCM
  • Each box is a user-written ESMF component
  • Every component has a standard interface so that
    it is (technically) swappable
  • Data in and out of components are packaged as
    state types with user-defined fields
  • New components can easily be added to the
    hierarchical system
  • Many different structures can be assembled by
    switching the tree around

7
But!
I
  • It is possible to do a wrap of an existing
    model with ESMF, without needing to change
    internal data structures, by just creating one
    Component box
  • This is generally lightweight in terms of
    performance
  • Users can choose to use all of ESMF or just some
    of it
  • Measures overhead of ESMF superstructure in NCEP
    Spectral Statistical Analysis (SSI), 1 overall
  • Run on NCAR IBM
  • Runs done by JPL staff, confirmed by NCEP
    developers

8
ESMF Development Status
  • Concurrent or sequential execution, single or
    multiple executable
  • Support for configuring ensembles
  • Logically rectangular grids with regular and
    arbitrary distributions can be represented and
    regular distributions can be regridded
  • On-line parallel regridding (bilinear, 1st order
    conservative) implemented and optimized
  • Other parallel methods - e.g. halo,
    redistribution, low-level comms implemented
  • Utilities such as time manager, logging, and
    configuration manager usable and adding features
  • Fortran interfaces and complete documentation,
    some C interfaces
  • ESMF software is not yet a hardened,
    out-of-the-box solution

9
ESMF Platform Support
  • IBM AIX (32 and 64 bit addressing)
  • SGI IRIX64 (32 and 64 bit addressing)
  • SGI Altix (64 bit addressing)
  • Cray X1 (64 bit addressing)
  • Compaq OSF1 (64 bit addressing)
  • Linux Intel (32 and 64 bit addressing, with mpich
    and lam)
  • Linux PGI (32 and 64 bit addressing, with mpich)
  • Linux NAG (32 bit addressing, with mpich)
  • Linux Absoft (32 bit addressing, with mpich)
  • Linux Lahey (32 bit addressing, with mpich)
  • Mac OS X with xlf (32 bit addressing, with lam)
  • Mac OS X with absoft (32 bit addressing, with
    lam)
  • Mac OS X with NAG (32 bit addressing, with lam)
  • User-contributed g95 support

10
Current Challenges
  • Refocus core development team
  • Base infrastructure is complete now need
    support for unstructured grids, multi-block grids
    with complex boundary behavior (e.g. tripole,
    cubed sphere), more regridding options, and
    constructs for data assimilation
  • Team composition must change correspondingly
  • Better, smarter testing suite of 1600 unit
    tests, 15 system tests, 30 examples still needs
    supplements
  • Major increase in demand for customer support and
    training
  • Many new requirements
  • Commercial tool for tracking requirements (DOORS)
  • New representative body for prioritizing
    development tasks (Change Review Board)
  • Organizationally and technically, ESMF
    infrastructure will take another 3-5 years to
    mature

11
ESMF v PRISM
PRISM
Run-time environment
Coupling Superstructure
User Code
Utility Infrastructure
ESMF
12
Other Differences
PRISM
ESMF
Seasonal Forecast
Coupler
Comp
Comp
Comp
Comp
  • Components are generally in separate executables
  • Components are generally not nested
  • Single coupler
  • Data is transferred through put/get
  • Data can go from anywhere to anywhere in another
    component

ocean
assim_atm
sea ice
assim
atmland
coupler
atm
land
  • Components are generally in the same executable
  • Components are often nested
  • Multiple couplers
  • Data is passed through states at the beginning
    and end of method execution

13
Motivation for Common Modeling Infrastructure
PRISM
  • Support for modeling workflows (e.g. job
    submission, version control, annotation and
    archival of experiments, integration with
    visualization and analysis tools)
  • Model intercomparison and interchange of model
    components
  • Better utilization of compute resources and
    performance optimization
  • Cost effectiveness shared, fully featured
    common utilities (e.g. logging, timing,
    regridding, calendars, I/O, parallelization
    tools)
  • Systematic internal architecture of
    multi-component models, support for many
    different drivers and configurations

ESMF
14
Why Do ESMF and PRISM Differ?
  • For both ESMF and PRISM, overall design was
    decided by a large group of experienced modelers
    so how did the two efforts wind up with such
    different solutions?
  • PRISM single-driver approach leads to greater
    effective interoperability for a constrained
    (climate) domain
  • ESMF approach leads to limited interoperability
    for a broader set of domains climate, weather,
    space weather, data assimilation support for
    seamless prediction
  • Both ESMF and PRISM face similar requirements
    but have taken different paths to fulfill them

15
Can ESMF and PRISM be Usefully Combined?
  • ESMF can use PRISM run-time elements
  • PRISM can use the ESMF utility layer
  • ESMF can offer a put/get paradigm for greater
    flexibility
  • ESMF components can be described using PRISM
    PMIOD files (XML description of model
    inputs/outputs and content), and ESMF data
    transfers expressed as PRISM put/gets, so that
    the same component can run in both systems (done
    with MOM4)

16
Model Metadata and Earth System Curator
  • Earth System Curator takes the interaction of
    ESMF/PRISM a step further
  • Recognize models and datasets are described by
    similar metadata
  • Develop standards for model metadata, especially
    in the area of grids
  • Work with umbrella groups developing metadata
    standards (e.g. GO-ESSP) to integrate model and
    data metadata
  • Work with groups developing ontologies (LEAD,
    ESML) to invest metadata standards with structure
    and flexibility
  • Work with GFDL, CCSM and PCMDI to link databases
    that store models, experiments, and data to serve
    MIPs and IPCC
  • Anticipated result
  • Coordinated growth of ESMF and PRISM
  • Opportunities to develop smarter tools (e.g.
    compatibility, assembly) based on metadata
    information

17
How Can WMP Help?
  • Support and promote common modeling
    infrastructure
  • Maintain a science-driven methodology
  • Emphasize long-term investment and continuity
  • Communicate expectations the plug and play
    myth
  • Support and promote efforts to generate metadata
    standards and ontologies
  • For the interaction of ESMF and PRISM
  • For the development of a more comprehensive and
    useful modeling environment
  • Help determine how to utilize infrastructure as
    an entry point into the broader (international)
    modeling community
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