The ECCO Near Real-Time Ocean Data Assimilation System
Ichiro Fukumori(1) , Benyang Tang(1) , Zhangfan Xing(1) , Dimitris Menemenlis(1) , Ou Wang(1) , and Sophie Ricci(1)
Pasadena, CA 91109,
Products of the ECCO Sequential Ocean Data Assimilation System
(http://www.ecco-group.org/las) consists of near-global ocean state
estimates from 1993 to present. These results are being utilized in
diverse studies of ocean circulation and in geodetic applications.
This presentation will describe the estimation system, the skill of
its estimates, its latest improvements, and future outlook.
The on-going near real-time estimation system is based on an
approximate Kalman filter and Rauch-Tung-Striebel smoother
(partitioned, reduced-state, time-asymptotic approximations), and
assimilates altimetric sea level and in situ temperature profiles with
uncertainty in time-variable wind forcing as model control. The model
is based on the MIT general circulation model with a variable 0.3 to
1-deg spatial resolution in a near global domain (73S to 73N).
Estimates are statistically self-consistent and are in closer
agreement with independent observations than a non-constrained model
Various improvements to the operational system are being developed.
These include expansions to the model control space, such as
time-invariant errors (bias) and diabatic sources of model error. A
higher resolution system is also being developed to explore estimation
of meso-scale variability in an eddy-permitting global circulation