Forecast Error Correction Using Dynamic Data Assimilation

By John M. Lewis, Sivaramakrishnan Lakshmivarahan, Rafal Jabrzemski

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319820109
• ISBN13: 9783319820101
• Release Date: June 2018
• Publisher: Springer
• Length: 270 Pages
• Weight: 0.90 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"