Titlebook: Data Assimilation; Making Sense of Obse William Lahoz,Boris Khattatov,Richard Menard Book 2010 Springer-Verlag Berlin Heidelberg 2010 Atmos

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书目名称Data Assimilation影响因子(影响力)




书目名称Data Assimilation影响因子(影响力)学科排名




书目名称Data Assimilation网络公开度




书目名称Data Assimilation网络公开度学科排名




书目名称Data Assimilation被引频次




书目名称Data Assimilation被引频次学科排名




书目名称Data Assimilation年度引用




书目名称Data Assimilation年度引用学科排名




书目名称Data Assimilation读者反馈




书目名称Data Assimilation读者反馈学科排名

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Assimilation of Operational Dataradiation from satellite instruments. Other, recent examples include ground-based GPS (Global Positioning Satellites) and radio-occultation data. The related issues of quality control and data thinning are also covered. Assimilation of time-sequences of observations is discussed. This chapter comple

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esoteric

Incompetent

Variational Assimilation function, called the ., that measures the misfit to the available data. In particular, ., usually abbreviated as ., minimizes the misfit between a temporal sequence of model states and the observations that are available over a given assimilation window. As such, and contrary to the standard Kalman

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Ensemble Kalman Filter: Current Status and Potential representative prototype of these methods, and several examples of how advanced properties and applications that have been developed and explored for 4D-Var (four-dimensional variational assimilation) can be adapted to the LETKF without requiring an adjoint model. Although the Ensemble Kalman filte

提炼

微粒

The Principle of Energetic Consistency in Data Assimilationns requires all the sources of uncertainty – in the initial conditions, the dynamics, and the observations – to be identified and accounted for properly in the data assimilation process. This task is complicated by the fact that the non-linear dynamical system actually being observed is typically an

hemophilia

猛烈责骂

The Global Observing Systemferent techniques to observe the atmosphere, the ocean and land surfaces. It should be stressed that the various observing systems generally tend to be complementary to one another, and that redundancy where it exists is valuable as it enables cross checking and inter-comparison of data.