11.1 Four-Dimensional Variational Atmospheric Data Assimilation for COAMPS

Thursday, 11 January 2018: 10:30 AM
Room 14 (ACC) (Austin, Texas)
Clark M. Amerault, NRL, Monterey, CA; and L. Xu

A four dimensional variational data assimilation system has been developed for the US Navy’s relocatable limited-area atmospheric model. The adjoint and tangent linear COAMPS (Coupled Ocean Atmosphere Mesoscale Prediction System) models propagate observational information backward and forward in time during the iterative minimization process. The background error covariances of the state variables are modeled with a diffusion operator. Smaller effective horizontal grid spacing and lateral boundary conditions are challenging design considerations when compared to global system. The model’s physical domain can be placed anywhere on Earth, so the data assimilation process is robust for all locations. The system’s performance in areas of varying topography and flow regimes (tropic, mid-latititudes, etc.) is satisfactory when compared to the existing three dimensional variational system. The greatest forecast improvements are in the first 18 h.
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