Status of Bracketing OSSEs at NCEP for Several DWL Notional Concepts - PowerPoint PPT Presentation

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Status of Bracketing OSSEs at NCEP for Several DWL Notional Concepts

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bracketing concepts with m 1 m/s. Calibration of OSSE ... Initial DWL impact on analyses being assessed for bracketing concepts. Key Calibration Issues ... – PowerPoint PPT presentation

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Title: Status of Bracketing OSSEs at NCEP for Several DWL Notional Concepts


1
Status of Bracketing OSSEs at NCEP for Several
DWL Notional Concepts
  • G. D. Emmitt
  • M. Masutani, S. Lord
  • WG on Space-based Lidar Winds
  • Oxnard, CA
  • 7-9 February, 2001

2
General Status
  • Current (i.e.1993) data simulation complete
  • RAOBs, ACARS, CTW(?), TOVS(1B), Surface
  • All simulated DWL observations complete
  • bracketing concepts with ?m ltlt 1 m/s
  • Calibration of OSSE nearly complete
  • Temperature bias still unresolved
  • Initial DWL impact on analyses being assessed for
    bracketing concepts

3
Key Calibration Issues
  • Are the statistics of the simulated data similar
    to those of the real data?
  • Are the impacts of individual data sets on
    analyses similar in both real OSEs and
    simulated OSEs?

4
Relative importance of tropospheric wind
observations in OSE segment
  • RAOB winds in the NH
  • impact on model wind field
  • impact on derived temperature
  • CTWs in SH NH
  • impact on winds
  • impact on temperature

5
Review of bracketing OSSE strategy
  • Technology neutral but with realistic
    observational coverage
  • 4 basic coverage concepts plus an OSSE reference
    data set
  • Three series of impact experiments
  • Coverage (?m 0 m/s ?s 2 m/s)
  • Accuracy (?m 2 or 5 m/s ?s 2 m/s)
  • Systematic Errors (?m 2 or 5 m/s ?s 2 m/s
    plus correlated errors)

6
Figure of merit
  • ?o2 ?m2/Ns ?s2/Ne
  • ?o2 is total observation error for use in the
    SSI cost function (assigned a value if
    necessary).
  • ?m2 is the instruments observation error for the
    target motion within the illuminated volume
  • ?s2 is the variance of the winds within the
    effective resolution grid of the assimilating
    model
  • Ns is the number of independent samples that are
    effective in reducing the LOS measurement error
  • Ne is the number of independent samples that are
    effective in reducing the error in estimating the
    average LOS within the sampled area.

7
Example
  • ?o2 ?m2/Ns ?s2/Ne
  • ?m 10 m/s (Sqrt(?m2/Ns) 1 m/s)
  • ?s 3 m/s
  • N 100
  • Cluster ?o 3.2 m/s
  • Distributed ?o 1.4 m/s
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