Forecast Error Correction using Dynamic Data Assimilation

Download or read book Forecast Error Correction using Dynamic Data Assimilation written by Sivaramakrishnan Lakshmivarahan and published by Springer. This book was released on 2016-10-21 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.