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Mathematical Problems in Meteorological Modelling

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Cover of 'Mathematical Problems in Meteorological Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 On a Conservative Finite-Difference Method for 1D Shallow Water Flows Based on Regularized Equations
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    Chapter 2 Discretization in Numerical Weather Prediction: A Modular Approach to Investigate Spectral and Local SISL Methods
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    Chapter 3 Turbulence Modeling Using Fractional Derivatives
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    Chapter 4 A Parallel Numerical Solution Approach for Nonlinear Parabolic Systems Arising in Air Pollution Transport Problems
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    Chapter 5 Eulerian and Lagrangian Approaches for Modelling of Air Quality
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    Chapter 6 Hydrodynamic Modeling of Industrial Pollutants Spreading in Atmosphere
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    Chapter 7 Coordinate Transformation Approach for Numerical Solution of Environmental Problems
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    Chapter 8 Impact of Climatic Changes on Pollution Levels
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    Chapter 9 An Invitation to Meteorological Data Assimilation
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    Chapter 10 Analysis of the Data Assimilation Methods from the Mathematical Point of View
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    Chapter 11 Ensemble Methods in Meteorological Modelling
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    Chapter 12 Quantifying Sources of Uncertainty in Temperature and Precipitation Projections over Different Parts of Europe
Attention for Chapter 9: An Invitation to Meteorological Data Assimilation
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Chapter title
An Invitation to Meteorological Data Assimilation
Chapter number 9
Book title
Mathematical Problems in Meteorological Modelling
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-40157-7_9
Book ISBNs
978-3-31-940155-3, 978-3-31-940157-7
Authors

Ágnes Bodó, Petra Csomós, Bodó, Ágnes, Csomós, Petra

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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