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Titlebook: Mathematical Paradigms of Climate Science; Fabio Ancona,Piermarco Cannarsa,Alessandro Portalu Book 2016 Springer International Publishing

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發(fā)表于 2025-3-21 17:24:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematical Paradigms of Climate Science
編輯Fabio Ancona,Piermarco Cannarsa,Alessandro Portalu
視頻videohttp://file.papertrans.cn/627/626498/626498.mp4
概述Provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science.Offers a truly interdisciplinary approach, bringing together researcher
叢書名稱Springer INdAM Series
圖書封面Titlebook: Mathematical Paradigms of Climate Science;  Fabio Ancona,Piermarco Cannarsa,Alessandro Portalu Book 2016 Springer International Publishing
描述This book, featuring a truly interdisciplinary approach, provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science. It brings together some of the most interesting overview lectures given by the invited speakers at an important workshop held in Rome in 2013 as a part of MPE2013 (“Mathematics of Planet Earth 2013”). The aim of the workshop was to?foster the interaction between climate scientists and mathematicians active in various fields linked to climate sciences, such as dynamical systems, partial differential equations, control theory, stochastic systems, and numerical analysis. Mathematics and statistics already play a central role in this area.?Likewise, computer science must have a say in the efforts?to simulate the Earth’s environment on the unprecedented scale of petabytes. In the context of such complexity, new mathematical tools are needed?to organize and simplify the approach. The growing importance of data assimilation techniques for climate modeling is amply illustrated in this volume, which also identifies important future challenges..
出版日期Book 2016
關(guān)鍵詞Climate change; Data assimilation; Optimal control; Earth system processes; Numerical simuations
版次1
doihttps://doi.org/10.1007/978-3-319-39092-5
isbn_softcover978-3-319-81815-3
isbn_ebook978-3-319-39092-5Series ISSN 2281-518X Series E-ISSN 2281-5198
issn_series 2281-518X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:54:40 | 只看該作者
978-3-319-81815-3Springer International Publishing Switzerland 2016
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發(fā)表于 2025-3-22 02:39:01 | 只看該作者
Mathematical Paradigms of Climate Science978-3-319-39092-5Series ISSN 2281-518X Series E-ISSN 2281-5198
地板
發(fā)表于 2025-3-22 07:56:29 | 只看該作者
Remarks on Stochastic Navier-Stokes Equationse and difference between the model with additive and with multiplicative transport noise. In view of the practical issue of numerical simulation of expected values, a few remarks on Girsanov transform and Kolmogorov equation are given.
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發(fā)表于 2025-3-22 11:48:54 | 只看該作者
Fabio Ancona,Piermarco Cannarsa,Alessandro PortaluProvides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science.Offers a truly interdisciplinary approach, bringing together researcher
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發(fā)表于 2025-3-22 13:58:40 | 只看該作者
Springer INdAM Serieshttp://image.papertrans.cn/m/image/626498.jpg
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發(fā)表于 2025-3-23 03:21:57 | 只看該作者
Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Controlis determined by its effect on the variance of the posterior distribution. A smaller variance is interpreted as a better understanding of the flow. We show that a systematic reduction in variance can be achieved by utilising controls that allow the drifter to navigate new or interesting flow structures, a good example of which are eddies.
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發(fā)表于 2025-3-23 07:38:32 | 只看該作者
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