Towards Optimal Atmospheric Data Assimilation



RONALD M. ERRICO
The National Center for Atmospheric Research
1850 Table Mesa Drive
Boulder, Colorado 80307, USA



Abstract:  The basic principles of modern data atmospheric data assimilation will be described. The intent is, in some sense, to optimally combine diverse sets of observations and information (e.g., physical relationships) accounting for the fact that all is uncertain to various degrees. It is a fundamentally statistical problem, but computationally intractable for most standard techniques due to the size of the problem and the uncertainty even of the prior statistics. Current techniques will be described along with their deficiencies. Mathematical, statistical, and physical requirements for making further progress will also be described. Some common misconceptions will be revealed.



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