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Titlebook: Modal View of Atmospheric Variability; Applications of Norm Nedjeljka ?agar,Joseph Tribbia Book 2020 The Editor(s) (if applicable) and The

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書目名稱Modal View of Atmospheric Variability
副標(biāo)題Applications of Norm
編輯Nedjeljka ?agar,Joseph Tribbia
視頻videohttp://file.papertrans.cn/636/635699/635699.mp4
概述Introduces the theory and computation of the normal-mode functions.Reviews the applications of the normal modes in data assimilation and initialization of numerical weather prediction models, and for
叢書名稱Mathematics of Planet Earth
圖書封面Titlebook: Modal View of Atmospheric Variability; Applications of Norm Nedjeljka ?agar,Joseph Tribbia Book 2020 The Editor(s) (if applicable) and The
描述.This book reviews the theory and applications of the normal-mode functions in numerical weather prediction and weather and climate dynamics. The normal-mode functions, the eigensolutions of the linearized primitive equations describing the evolution of atmospheric winds and mass variables, have been used for a long time. They have played an important role in the development of data assimilation schemes and the initialization of numerical weather prediction models. Chapters also present how the normal modes can be applied to many theoretical and numerical problems in the atmospheric sciences, such as equatorial wave dynamics, baroclinic instability, energy transfers, and predictability across scales. . .?..?.
出版日期Book 2020
關(guān)鍵詞normal-mode functions; atmospheric variability; weather prediction; numerical model initialization; ener
版次1
doihttps://doi.org/10.1007/978-3-030-60963-4
isbn_softcover978-3-030-60965-8
isbn_ebook978-3-030-60963-4Series ISSN 2524-4264 Series E-ISSN 2524-4272
issn_series 2524-4264
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-030-60963-4normal-mode functions; atmospheric variability; weather prediction; numerical model initialization; ener
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Nedjeljka ?agar,Joseph TribbiaIntroduces the theory and computation of the normal-mode functions.Reviews the applications of the normal modes in data assimilation and initialization of numerical weather prediction models, and for
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2524-4264 tialization of numerical weather prediction models, and for .This book reviews the theory and applications of the normal-mode functions in numerical weather prediction and weather and climate dynamics. The normal-mode functions, the eigensolutions of the linearized primitive equations describing the
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Book 2020 prediction models. Chapters also present how the normal modes can be applied to many theoretical and numerical problems in the atmospheric sciences, such as equatorial wave dynamics, baroclinic instability, energy transfers, and predictability across scales. . .?..?.
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H. Bemelmans,G. Borghs,G. Langouchential source of valuable data in disaster scenarios. The social network based information flow is real-time, direct, two-directional and often geo-tagged. Unfortunately, besides these obvious advantages, social network data suffers from drawbacks: it is unstructured, dispersed and lacks reliability.
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