Flow-Dependent Balance Conditions for Incremental Data Assimilation: Elliptic Operators

نویسندگان

  • S. J. Fletcher
  • N. K. Nichols
  • I. Roulstone
چکیده

We present a family of flow-dependent balance conditions for variational data assimilation (VAR). In the context of shallow water theory, the conditions are based upon using either relative vorticity or potential vorticity as the balanced variable, and incorporate both rotational and divergent components of the horizontal wind field. From this wind field we obtain a balanced height field, which can be used as a control variable in VAR. The balance conditions are defined using nonlinear Monge Ampère equations, which are required to be elliptic. A linear, incremental scheme is derived, and the ellipticity criterion becomes a condition on the linearization state. The schemes are tested using Rossby-Haurwitz waves for a range of Burger numbers, thereby enabling flow-dependency to be analyzed.

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تاریخ انتشار 2010