Editors:
- Comprehensive overview on problems being important in meteorological modelling
- Gives a mathematical insight in meteorological problems, and provides application fields in meteorology for mathematical results
- Contains the precise mathematical background and explanation of methods being used in meteorological modelling
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 24)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (12 papers)
-
Front Matter
-
Numerical Methods for Meteorological Problems
-
Front Matter
-
-
Air Quality Modelling
-
Front Matter
-
-
Meteorological Data Assimilation and Probabilistic Forecasting
-
Front Matter
-
-
Back Matter
About this book
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 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.
Reviews
Editors and Affiliations
-
Institute of Mathematics, Eötvös Lorand University, Institute of Mathematics, Budapest, Hungary
András Bátkai
-
Dept. of Appl.Analysis & Comp.Math., Eötvös Loránd University Institute of Mathematics, Budapest, Hungary
Petra Csomós
-
Institute of Mathematics, Eötvös Lorand University, Budapest, Hungary
István Faragó
-
Solymár, Hungary
András Horányi
-
Hungarian Meteorological Service, Budapest, Hungary
Gabriella Szépszó
Bibliographic Information
Book Title: Mathematical Problems in Meteorological Modelling
Editors: András Bátkai, Petra Csomós, István Faragó, András Horányi, Gabriella Szépszó
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-319-40157-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-40155-3Published: 09 November 2016
Softcover ISBN: 978-3-319-82044-6Published: 23 June 2018
eBook ISBN: 978-3-319-40157-7Published: 08 November 2016
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XV, 264
Number of Illustrations: 17 b/w illustrations, 50 illustrations in colour
Topics: Applications of Mathematics, Simulation and Modeling, Computational Mathematics and Numerical Analysis, Partial Differential Equations, Statistical Theory and Methods, Theoretical, Mathematical and Computational Physics