Extended Abstract (1.7M)4.11
Thermodynamic Retrieval experiments with a 2-D model
David C. Dowell, NOAA/NSSL, Norman, OK; and L. J. Wicker and A. Shapiro
For these experiments, we view data assimilation as a method for analyzing storm-scale observations. Assimilation of Doppler wind observations into a numerical model is an approach for building time continuity into the dataset and retrieving unobserved parameters.
As they are typically formulated, model and adjoint data assimilation methods produce a numerical simulation that matches the observations in a least squares sense. Unfortunately, this approach for producing an optimal simulation requires considerable expense in terms of design, coding, and computation.
We are currently conducting experiments with new, near-optimal data assimilation strategies that involve integrating a numerical model forwards and backwards. For the experiments, we use simulated radar observations from a 2-D model of a cold downburst. We will compare the results of the retrievals to those from traditional methods.
Session 4, Assimilation of Radar Data in Atmospheric Models—COST 717 & Others
Friday, 20 July 2001, 9:00 AM-12:30 PM
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