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Forecast Error Correction using Dynamic Data Assimilation Book PDF Summary

This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.

Detail Book of Forecast Error Correction using Dynamic Data Assimilation PDF

Forecast Error Correction using Dynamic Data Assimilation
  • Author : Sivaramakrishnan Lakshmivarahan
  • Release : 21 October 2016
  • Publisher : Springer
  • ISBN : 9783319399973
  • Genre : Computers
  • Total Page : 278 pages
  • Language : English
  • PDF File Size : 10,9 Mb

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