Forecast Error Correction using Dynamic Data Assimilation

Inbunden, Engelska, 2016

Av Sivaramakrishnan Lakshmivarahan, John M. Lewis, Rafal Jabrzemski

1 679 kr

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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.

Produktinformation

  • Utgivningsdatum2016-11-02
  • Mått155 x 235 x 22 mm
  • Vikt600 g
  • FormatInbunden
  • SpråkEngelska
  • SerieSpringer Atmospheric Sciences
  • Antal sidor270
  • Upplaga16001
  • FörlagSpringer International Publishing AG
  • ISBN9783319399959