Update on the Regional Modeling System - PowerPoint PPT Presentation

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Update on the Regional Modeling System

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Running the MM5 at 36, 12, and 4 km resolution. Running the new WRF model at ... a network when their data is suspect (David Carey) ... by Phil Regulski. Local ... – PowerPoint PPT presentation

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Title: Update on the Regional Modeling System


1
Update on the Regional Modeling System
NASA Roses Meeting April 13, 2007
2
Supported by the Northwest Modeling
Consortiumthe regional modeling effort centered
at the UW is
  • Running the MM5 at 36, 12, and 4 km resolution
  • Running the new WRF model at 36, 12 km resolution
  • Running TWO high resolution regional ensemble
    systems to provide probabilistic forecasts and
    data assimilation
  • Gathering all local weather observations from
    dozens of networks. Plus quality control.
  • Running a wide range of weather applications
    dealing with air quality, hydrology,
    transportation weather and fire weather.

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36 km
5
12 km
6
4 km
7
A Few of the Major Efforts and Improvements this
Year
8
Evaluation of WRF
  • WRF the Weather Research and Forecasting Model,
    is the replacement for the MM5 and should be the
    national mesoscale model used by both the
    operational and research community.
  • On paper a far better modelbut it will take time
    for all the bugs to removed and to regain all of
    the same capabilities.
  • We are now running it at 36 and 12 km grid
    spacing, and will be replacing the current test
    version with the newest version with major
    physics improvements and nudging on the outer
    domain.

9
Evaluation
  • We now have a new real-time version of WRF
    running and will evaluate this spring and for
    major historical cases.
  • If equal or superior, the modeling consortium
    will probably ok the shift from MM5 to WRF.
  • Evaluations of old version show differences but
    not superiority.

10
New UW WRF
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Example of MM5 vs WRF Verifications
16
March 1 Convergence Zone Event
17
The UW Quality Control System
  • A major task continues to be the gathering of all
    real-time observations of the region into one
    place
  • Right now we acquire over 60 networks in real
    time for displaying on our web site,
    verification, and many other uses
  • But how does one remove bad data in the massive
    amount of information we gather?

18
The UW Quality Control and Warning System
  • We have developed an advanced QC system suitable
    for an area of complex terrain (Jeff Baars)
  • We have developed an automated QC display system
    that one can check on the web and which can
    automatically tell the manager of a network when
    their data is suspect (David Carey)

19
Direction QC
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Map Selection Interface
  • We have a new map interface for getting
    soundings, time height cross sections and
    meteograms at ANY location.
  • Done by Phil Regulski

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Local Data Assimilation
  • A major new effort has begun to assimilate all
    local observations to create a physically
    consistent three dimensional picture of the
    regional atmosphere.
  • Needed for many reasonsincluding better
    short-term forecasts and air quality studies.
  • The approach makes use of a 90-member ensemble
    system--Ensemble Kalman Filter (EnKF)--probably
    the best approach possible for using the forecast
    model to use local observations

27
Local Data Assimilation
  • It will actually produce 90 different analyses
    that be combined to produce the best guess at
    what is there and tell us the uncertainty in the
    analyses.
  • These analyses can be integrated forward in time
    to give us probabilistic predictions of the
    future
  • We now have it running at 36 and 12 km
    resolutionmore this year!

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The END
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