Introduction to the Gridpoint Statistical Interpolation GSI Analysis - PowerPoint PPT Presentation

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Introduction to the Gridpoint Statistical Interpolation GSI Analysis

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Single zonal wind observation (1.0 ms-1 O-F and error) ... u increment (black,interval 0.1 ms-1 ) and T increment (color, interval 0.02 K) from SSI ... – PowerPoint PPT presentation

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Title: Introduction to the Gridpoint Statistical Interpolation GSI Analysis


1
Introduction to the Gridpoint Statistical
Interpolation (GSI) Analysis
  • Global Modeling Branch Briefing
  • Thursday, 07 July 2005

2
Overview of GSI
  • 3d variational assimilation based on the SSI . .
    .
  • Formulated in physical space
  • Analysis (Control) Variables
  • ?, ?u, Tu, q, Psu, O3 (not ?, ?)
  • Multivariate relation differs (non-trivial to use
    things like full balance equation on a grid)
  • Grid point definition of background error
  • Spectral definitions replaced with recursive
    filters
  • Vertical EOFs replaced with recursive filters
  • All statistics are a function of height and
    latitude
  • Improved efficiency, coding, and documentation

3
Multivariate Relation (balance)
  • Tb G? ?b c? Psb w1? w2 ?u

Projection of ? at vertical level 25 onto
vertical profile of balanced temperature (G25)
Percentage of full temperature variance explained
by the balance projection
4
Background Error Covariance (?)
a
b
c
  • Standard deviation of variance (interval 0.5 x
    106 m2 s-1)
  • Horizontal length scale estimate (interval 100
    km)
  • Vertical length scale estimate (interval 1 grid
    unit)

5
Single Observation Analysis
Single zonal wind observation (1.0 ms-1 O-F and
error)
u increment at ?0.3 (interval 0.1 ms-1 ) from SSI
u increment at ?0.3 (interval 0.1 ms-1 ) from GSI
6
Single Observation Analysis
Cross Section at 180o
u increment (black,interval 0.1 ms-1 ) and T
increment (color, interval 0.02 K) from SSI
u increment at (black, interval 0.1 ms-1 ) and T
increment (color, interval 0.02K) from GSI
7
Sigma T62L64 Cycling/Tuning
GFS 500 hPa Day 5 Anomaly Correlation
8
T254L64 Cycling (Initial Hybrid Tests)
GFS 500 hPa Anomaly Correlation (25 cases from
August 2004)
9
T254L64 Cycling (Initial Hybrid Tests)
GFS Tropical Wind Vector RMS Error
10
T382L64 (768x384) GSI/SSI Comparison
Analysis Valid at 00Z 03 July 2005Both
experiments started 10 May 2005
11
Single Analysis Increment Comparison
12
GSI/SSI Guess and Analysis Difference Fields
13
Operations vs GSI Hybrid Parallel
GFS 500 hPa Day 5 Anomaly Correlation
14
Operations vs GSI Hybrid Parallel
GFS Tropical Wind Vector RMS Error
15
Thoughts/Work in Progress . . .
  • We have yet to really begin to take advantage of
    being in physical space
  • Situation dependent/anisotropic background error
  • With considerable tuning/experimentation, the GSI
    seems to perform as well as SSI. . . at lower
    resolution
  • GSI performs well relative to SSI in terms of
    tropical RMS at all resolutions (impact of
    latitude-dependent balance)
  • GSI generally yields worse scores in the
    extratropics (dropouts seem to be larger)
  • Balance Issue?
  • Attempting to add a dynamic constraint term to
    complement the statistical balance (work in
    progress)
  • Further evaluation of GSI parallel needs to be
    done (with help from EMCers and new real-time
    parallel)
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