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Mathematical Problems in Meteorological Modelling (Mathematics in Industry, 24)
Bátkai, András; Csomós, Petra; Faragó, István; Horányi, András; Szépszó, Gabriella
Sprache: Englisch
Verlag: Springer, 2016
Serie: Mathematics in Industry, Buch 20 von 32. Buch 20 von 32 - Mathematics in Industry
- Hardcover
- Erstausgabe
Anbieter: SpringBooks, Berlin, DeutschlandSpringBooks
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EUR 63,50
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Hardcover. Zustand: As New. 1. Auflage. unread, like new - will be dispatched immediately.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Mathematics in Industry, Buch 20 von 32. Buch 20 von 32 - Mathematics in Industry
- Softcover
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Taschenbuch. Zustand: Neu. Mathematical Problems in Meteorological Modelling | András Bátkai (u. a.) | Taschenbuch | Mathematics in Industry | xv | Englisch | 2018 | Springer | EAN 9783319820446 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]co…m | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Mathematics in Industry, Buch 20 von 32. Buch 20 von 32 - Mathematics in Industry
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 166,62
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 feat…ures 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 practical applications as weather forecasting and climate change projections. Written by leading experts in the field, the book provides an attractive and diverse introduction to areas in which mathematicians and modellers from the meteorological community can cooperate and help each other solve the problems that operational weather centres face, now and in the near future.Readers engaged in meteorological research will become more familiar with the corresponding mathematical background, while mathematicians working in numerical analysis, partial differential equations, or stochastic analysis will be introduced to further application fields of their research area, and will find stimulation and motivation for their future research work.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Mathematics in Industry, Buch 20 von 32. Buch 20 von 32 - Mathematics in Industry
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 168,73
EUR 63,20 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 co…ntributions 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 practical applications as weather forecasting and climate change projections. Written by leading experts in the field, the book provides an attractive and diverse introduction to areas in which mathematicians and modellers from the meteorological community can cooperate and help each other solve the problems that operational weather centres face, now and in the near future.Readers engaged in meteorological research will become more familiar with the corresponding mathematical background, while mathematicians working in numerical analysis, partial differential equations, or stochastic analysis will be introduced to further application fields of their research area, and will find stimulation and motivation for their future research work.
Mathematical Problems in Meteorological Modelling (Mathematics in Industry)
Bátkai, András (Editor) / Csomós, Petra (Editor) / Faragó, István (Editor) / Horányi, András (Editor) / Szépszó, Gabriella (Editor)
Sprache: Englisch
Verlag: Springer, 2018
Serie: Mathematics in Industry, Buch 20 von 32. Buch 20 von 32 - Mathematics in Industry
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 247,74
EUR 35,30 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: Brand New. reprint edition. 264 pages. 9.25x6.10x0.64 inches. In Stock.
