Forecast Error Correction using Dynamic Data Assimilation (Springer Atmospheric Sciences)

by Sivaramakrishnan Lakshmivarahan, John M. Lewis, and Rafal Jabrzemski

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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.        
  • ISBN13 9783319820101
  • Publish Date 23 June 2018 (first published 2 November 2016)
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer International Publishing AG
  • Edition Softcover reprint of the original 1st ed. 2017
  • Format Paperback
  • Pages 270
  • Language English