Applying the Adjoint Model Technique to a Time Series of Surface Pressure Data

摘要

An adiabatic, mixed layer, shallow water system for the mesobeta scale deviationsfrom a prescribed time dependent larger scale flow is used for data assimilation studies. The adjoint model technique is used, where the cost junction contains information for mass field data only, and the boundary layer winds are derived. Experiments performed using mesobeta scale pressure analyses and synoptic station pressure data are described. The winds produced showed no typical response to orographic forcing. It seems that a weak correlation exists in the vorticity field between the data assimilation produced and the observations.