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GMAO Ocean EnKF Error Covariance Modeling

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New focus: Adaptive error-covariance localization/deflation. Ocean EnKF ... localization/deflation. Uniform localization. adaptive localization and deflation ... – PowerPoint PPT presentation

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Title: GMAO Ocean EnKF Error Covariance Modeling


1
GMAO Ocean EnKF Error Covariance Modeling
  • Ocean EnKF
  • Multivariate compactly supported background
    covariances updates T, S, u v
  • System-noise representation with forcing
    perturbations and vertical momemtum perturbations
  • Online bias estimation for SSH
  • (note SSH is diagnostic in Poseidon 4)
  • Focus is on maximizing the performance with
    small ensembles
  • Spatio-temporal filtering of background
    covariances
  • New focus Adaptive error-covariance
    localization/deflation

GSOP/GODAE Synthesis Evaluation Meeting September
24-25, 2007
2
Spatio-temporal filtering of background
covariances
  • Objective Improving the performance for small
    ensembles
  • Temporal filter applied to Xf integration
    (exponential moving average)
  • Spatial filter applied to (Xf -ltXgt) deviations
    (Gaussian filter)

Compactly supported EnKF (bias estimation omitted)
Time filter
3
Effect of spatial filtering Marginal Kalman
gain T obs _at_(0n,156E,150m) on 12/31/01 horiz.
section through ltT,Tgt covariances
EnKF-9
EnKF-17
EnKF-33
Unfiltered, compactly supported
Filtered, compactly supported
Unfiltered, not compactly supported
4
SSH OMF and OMA statistics
SSH passive
mean OMF
RMS OMF
mean OMA
RMS OMA
5
T OMF and OMA statistics
active
passive
passive
(a)
(c)
Control
EnKF
-
9
EnKF
-
9
mean OMF
mean OMF
RMS OMF
RMS OMF
mean OMA
mean OMA
RMS OMA
RMS OMA
(b)
(d)
active
passive
active
OIS(T)
EnKF
-
17
EnKF
-
17
(e)
passive
active
EnKF
-
33
EnKF
-
33
(f)
passive
active
EnKF
-
65
EnKF
-
65
6
Analysis validation
Comparison with December 2001 ADCP zonal currents
7
CTD
Comparison to CTD Salinity July 2005
OI-T,S no ARGO S
OI-T,S
ENKF T,S, SSH
Analysis validation
8
Analysis validation
T,S diagrams Comparison with ARGO/Levitus
OI-TS
Best above 20oC
Best below 20oC
9
Uniform localization
  • SSS increment from processing Jan. 1 2000, XBT T
    data
  • on ODAS 360x205 tripolar grid
  • (MOM4 running on 720x410 tripolar grid)
  • Each square corresponds to the location of a XBT
    profiler

adaptive localization and deflation
Principle Larger/smaller Kalman gain amplitude
and covariance localization scales where the
ensemble covariances at the observation location
are considered more/less reliable
Adaptive covariance localization/deflation
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