Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing 'why' and not just 'how.' Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study.Data Assimilation: Methods, Algorithms, and Applications
July 05, 2019 / in 2016, Maëlle Nodet, Marc Bocquet, Mark Asch, Mathematics (sc), Science / with No comments /
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing 'why' and not just 'how.' Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study.