ABSTRACT

Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdiscipli

chapter 4|44 pages

Basic Principles of 4–D VAR

chapter 6|18 pages

- Appendix A

chapter 7|22 pages

- Appendix B

chapter 8|12 pages

- Appendix C