发表于2024-08-28
Data Assimilation 2024 pdf epub mobi 电子书
图书标签: PE
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 as oceanography or meteorology, it presents the mathematical framework and derivations in a way which is common for any discipline where dynamics is merged with measurements. The mathematics level is modest, although it requires knowledge of basic spatial statistics, Bayesian statistics, and calculus of variations. Readers will also appreciate the introduction to the mathematical methods used and detailed derivations, which should be easy to follow, are given throughout the book. The codes used in several of the data assimilation experiments are available on a web page. In particular, this webpage contains a complete ensemble Kalman filter assimilation system, which forms an ideal starting point for a user who wants to implement the ensemble Kalman filter with his/her own dynamical model. The focus on ensemble methods, such as the ensemble Kalman filter and smoother, also makes it a solid reference to the derivation, implementation and application of such techniques. Much new material, in particular related to the formulation and solution of combined parameter and state estimation problems and thegeneral properties of the ensemble algorithms, is available here for the first time.
很多细节都描述不是特别清楚,例子更不清楚。符号用得很蹩脚。前后内容冗余混淆,不愧是气象学家写的。
评分很多细节都描述不是特别清楚,例子更不清楚。符号用得很蹩脚。前后内容冗余混淆,不愧是气象学家写的。
评分很多细节都描述不是特别清楚,例子更不清楚。符号用得很蹩脚。前后内容冗余混淆,不愧是气象学家写的。
评分很多细节都描述不是特别清楚,例子更不清楚。符号用得很蹩脚。前后内容冗余混淆,不愧是气象学家写的。
评分很多细节都描述不是特别清楚,例子更不清楚。符号用得很蹩脚。前后内容冗余混淆,不愧是气象学家写的。
Data Assimilation 2024 pdf epub mobi 电子书