| 书目名称 | Mathematical Problems in Meteorological Modelling | | 编辑 | András Bátkai,Petra Csomós,Gabriella Szépszó | | 视频video | | | 概述 | Comprehensive overview on problems being important in meteorological modelling.Gives a mathematical insight in meteorological problems, and provides application fields in meteorology for mathematical | | 丛书名称 | Mathematics in Industry | | 图书封面 |  | | 描述 | .This book deals with mathematical problems arising in the context of meteorological modelling. It gathers and presents some of the most interesting and important issues from the interaction of mathematics and meteorology. It is unique in that it features contributions on topics like data assimilation, ensemble prediction, numerical methods, and transport modelling, from both mathematical and meteorological perspectives...The derivation and solution of all kinds of numerical prediction models require the application of results from various mathematical fields. The present volume is divided into three parts, moving from mathematical and numerical problems through air quality modelling, to advanced applications in data assimilation and probabilistic forecasting. ..The book arose from the workshop “Mathematical Problems in Meteorological Modelling” held in Budapest in May 2014 and organized by the ECMI Special Interest Group on Numerical Weather Prediction. Its main objective is to highlight the beauty of the development fields discussed, to demonstrate their mathematical complexity and, more importantly, to encourage mathematicians to contribute to the further success of such practic | | 出版日期 | Conference proceedings 2016 | | 关键词 | data assimilation; mathematical modeling; numerical weather prediction; time discretization; uncertainty | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-40157-7 | | isbn_softcover | 978-3-319-82044-6 | | isbn_ebook | 978-3-319-40157-7Series ISSN 1612-3956 Series E-ISSN 2198-3283 | | issn_series | 1612-3956 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 17:21:00
