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\begin{abstract}{Data Assimilation into Nonlinear Stochastic Ocean Models
}{ \underline{Everett F. Carter Jr},
(Department of Oceanography, Code OC/CR
	Naval Postgraduate School,
        Monterey, CA, 93943; 
        831-656-3318),
{Robert N. Miller},{Sally B. Goodlett},
(College of Oceanic and Atmospheric Sciences,
Oregon State University, Corvallis OR, 97331;
503-737-4555)
}{
We consider the problem of data assimilation into systems modeled as nonlinear
stochastic differential equations.  Unlike earlier approaches to this problem,
we calculate a direct estimate of the probability density function of the
system conditioned on the observations.  No assumptions about moments or
near-linearity are required.
We present a series of simulation experiments in which we demonstrate
assimilation of data
into simple nonlinear models where the (Extended) Kalman filter will not
perform well.  We illustrate the basic method with a simple one dimensional
nonlinear stochastic differential equation, a three-dimensional caricature
of the ENSO cycle and a nonlinear quasigeostrophic channel model.
}
\item 1993 Fall Meeting
\item 000121505
\item (a) E. F. Carter \\
      Dept. Oceanography, OC/CR \\
      Naval Postgraduate School \\
      Monterey, CA 93943 \\ 
      (b) Tel: (831) 656-3318 \\
      (c) FAX: (831) 656-2712
\item O (Ocean Sciences)
\item (a) none \\
      (b) 4263, 4255, 4520 \\
          (Ocean Prediction, \\
           Numerical Modeling, \\
	   Eddies and mesoscale processes) \\
      (c) none
\item Poster, Video
\item 0\%
\item \$60 charge to:\\
        Mastercard XXXX XXXX XXXX XXXX\\
        expires X/XX
\item C (Contributed)
\item None
\item No

\end{abstract}

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