Title: GMAO Ocean EnKF Error Covariance Modeling
1GMAO 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
2Spatio-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
3Effect 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
4SSH OMF and OMA statistics
SSH passive
mean OMF
RMS OMF
mean OMA
RMS OMA
5T 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
6Analysis validation
Comparison with December 2001 ADCP zonal currents
7CTD
Comparison to CTD Salinity July 2005
OI-T,S no ARGO S
OI-T,S
ENKF T,S, SSH
Analysis validation
8Analysis validation
T,S diagrams Comparison with ARGO/Levitus
OI-TS
Best above 20oC
Best below 20oC
9Uniform 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