Titlebook: Data Assimilation for the Earth System; Richard Swinbank,Victor Shutyaev,William Albert La Conference proceedings 2003 Springer Science+Bu

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Climate Capacity as a Natural Assetom the difficulties associated with the assimilation of satellite data such as TOVS (TIROS-N Operational Vertical Sounders) radiances. (.) showed that the statistical estimation problem could be cast in a variational form (3D-Var) which is just a different way of solving the problem that the so-call

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https://doi.org/10.1007/978-981-19-0221-5son is that the satellite data are continuous in time, in contrast to conventional network observations carried out at prescribed standard terms. But the most part of remote sensing data arrives just between such terms. Another reason is that the remotely sensed meteorological parameters have to be

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https://doi.org/10.1007/978-94-010-0029-1Atmospheric chemistry; Earth System; Meteorology; Ocean; Oceanography; hydrology

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Atmospheric Modelling,ed and summarised. To do the best possible job, data assimilation systems are built on state-of-the-art models that embody our understanding of how the Earth System evolves, ., the physical laws governing its behaviour.