Friday, March 26

MS23
Recent Progress in Atmospheric Data Assimilation and Retrieval - Part I of II

10:30 AM-12:30 PM
Room: Ballroom C

This minisymposium is broadly concerned with the theory of atmospheric data assimilation and retrieval techniques. In view of the increasing resolution of operational numerical weather prediction systems and the ever present need to improve prediction of hazardous small-scale weather events, the minisymposium will focus on methods appropriate for short-range prediction as well as for traditional medium- and longer-range prediction. The speakers will discuss 3D and 4D variational techniques, use of adaptive observations, and use of satellite and Doppler radar data.

Organizers: Seon Ki Park and Alan Meyer Shapiro
CIMMS, University of Oklahoma

10:30-10:55 Sequential Data Assimilation for Nonlinear Dynamics

Geir Evensen, Nansen Environmental and Remote Sensing Center, Bergen, Norway

11:00-11:25 Strategies for Implementation of 4D-Var Using Adjoint Models with Physics

Ionel Michael Navon and Zhijin Li, Florida State University

11:30-11:55 Operational Constraints on Selection Schemes for Supplementary Observations

James A. Hansen and Leonard A. Smith, Oxford University, United Kingdom

12:00-12:25 Application of the Quasi-Inverse Linear Method to Data Assimilation

Seon Ki Park, Organizer; and Eugenia Kalnay, University of Oklahoma

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tjf, 10/29/98, MMD, 11/20/98