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Thursday, March 25

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MS11

Large-Scale Implementation of Data Assimilation for the Ocean and
Atmosphere - Part I of II

10:30 AM-12:30 PM

*Room: Ballroom A*

For Part II, see MS19.

Numerous physical problems do not fit into the classical paradigm of
initial or boundary value problems. Instead, empirical data are
available at different spatial positions at different times, and one
seeks a solution that best fits the data and a mathematical model, in
some optimal sense. One formulation of this idea is to generate a
hindcast of past events; such a solution can be used to generate
initial conditions for a forecast or to test a dynamical model as a
formal hypothesis. Another technique is to incorporate data into a
forecast as it proceeds. The speakers in this minisymposium will
discuss the computational and physical issues involved in the
implementation of such methods for large-scale modeling of the
atmosphere and ocean.

**Organizer: Robert L. Higdon**

*Oregon State University*

**10:30-10:55 Sequential
Data Assimilation for Nonlinear Dynamics**
- Geir Evensen, Nansen Environmental and Remote Sensing Center,
Bergen, Norway

**11:00-11:25 Towards
A True Four-Dimensional Atmospheric Data Assimilation Algorithm:
Application of a Cycling Representer Algorithm to a Simple Transport Problem**
- Liang Xu, U. S. Naval Research Laboratory

**11:30-11:55 Data Assimilation for Large-Scale Coherent Structures**

- Kayo Ide, University of California, Los Angeles

**12:00-12:25 Data Assimilation in Phase-Resolving Ocean Wave Models**

- James M. Kaihatu, U.S. Naval Research Laboratory, Stennis Space Center

*MMD, 1/19/99*