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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Forecast Error Correction Using Dynamic Data Assimilation

Forecast Error Correction Using Dynamic Data Assimilation

Jabrzemski, Rafal
Lakshmivarahan, Sivaramakrishnan
Lewis, John M.

Hardcover

Series: Springer Atmospheric Sciences

DatabasesGeneral Computers

ISBN10: 3319399950
ISBN13: 9783319399959
Publisher: Springer
Published: Nov 2 2016
Pages: 270
Weight: 1.28
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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.

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