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Titlebook: Data Assimilation; Tools for Modelling Pierre P. Brasseur,Jacques C. J. Nihoul Conference proceedings 1994 Springer-Verlag Berlin Heidelbe

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書目名稱Data Assimilation
副標題Tools for Modelling
編輯Pierre P. Brasseur,Jacques C. J. Nihoul
視頻videohttp://file.papertrans.cn/263/262723/262723.mp4
叢書名稱Nato ASI Subseries I:
圖書封面Titlebook: Data Assimilation; Tools for Modelling  Pierre P. Brasseur,Jacques C. J. Nihoul Conference proceedings 1994 Springer-Verlag Berlin Heidelbe
描述Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective. .The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation.
出版日期Conference proceedings 1994
關(guān)鍵詞Ocean; Oceanography; geophysics
版次1
doihttps://doi.org/10.1007/978-3-642-78939-7
isbn_softcover978-3-642-78941-0
isbn_ebook978-3-642-78939-7Series ISSN 1431-7125
issn_series 1431-7125
copyrightSpringer-Verlag Berlin Heidelberg 1994
The information of publication is updating

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,Mathematical Visualisation of the Northern Bering Sea’s Summer Ecohydrodynamics,An extensive survey of the Northern Bering Sea was carried on for five years in the scope of the NSF ISHTAR Program. The observations were concentrated in the summer months with the objective of determining the main physical, chemical and biological characteristics of the system in typical summer situations.
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Data Assimilation978-3-642-78939-7Series ISSN 1431-7125
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Bin Zhang,Fang Yue,Yang Liu,Peifang Fu of the NMC. The model simulates, along with the other fields, Sea Surface Temperature (SST). Model simulated SST is regarded as synthetic observation data, and is assimilated in further experiments with the aim to improve model estimates in the case of imperfect atmospheric forcing. Model results r
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https://doi.org/10.1007/978-981-16-1657-0of GEOSAT altimetric data in the Azores-Madeira region in 1986–88 in a regional, quasi-geostrophic (QG), open-boundary model. The regional model has been extensively described elsewhere (Haidvogel et al., 1980; Miller et al., 1983) and will not be discussed again. The main purpose of this paper is t
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