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Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. It is demonstrated how the different methods can be derived from a common theoretical basis, as well as how they differ and/or are related to each other, and which properties characterize them, using several examples.

Rather than emphasize a particular discipline such...

This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method. E.g., the...

Bruce J. Evensen focuses on the pivotal years during which Moody established his reputation on both sides of the Atlantic through a series of highly popular and publicized...

In this absorbing book, Bruce J. Evensen analyzes the role of the mass media, public opinion, and the Zionists in the evolution of America's Palestine policy during the Truman administration. Taking issue with recent revisionist historians who argue that Truman had little difficulty manipulating public opinion, Evensen claims that the press and an aroused public opinion successfully frustrated the President's course on Palestine and elicited his support of the United Nations' partition of Jewish and Arab states and Truman's early recognition of Israel.

Evensen emphasizes the development...

Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. It is demonstrated how the different methods can be derived from a common theoretical basis, as well as how they differ and/or are related to each other, and which properties characterize them, using several examples.

Rather than emphasize a particular discipline such...