Forecast Error Correction using Dynamic Data Assimilation
Nonfiction, Computers, Database Management, General Computing
| Author: | John M. Lewis, Sivaramakrishnan Lakshmivarahan, Rafal Jabrzemski | ISBN: | 9783319399973 |
| Publisher: | Springer International Publishing | Publication: | October 21, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | John M. Lewis, Sivaramakrishnan Lakshmivarahan, Rafal Jabrzemski |
| ISBN: | 9783319399973 |
| Publisher: | Springer International Publishing |
| Publication: | October 21, 2016 |
| Imprint: | Springer |
| 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.
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.
