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Mathematical Paradigms of Climate Science

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Cover of 'Mathematical Paradigms of Climate Science'

Table of Contents

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    Book Overview
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    Chapter 1 A Mathematical Perspective on Microbial Processes in Earth’s Biogeochemical Cycles
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    Chapter 2 Turbulence, Horizontal Convection, and the Ocean’s Meridional Overturning Circulation
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    Chapter 3 Source Reconstruction by Partial Measurements for a Class of Hyperbolic Systems in Cascade
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    Chapter 4 Remarks on Stochastic Navier-Stokes Equations
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    Chapter 5 Remarks on Long Time Versus Steady State Optimal Control
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    Chapter 6 Effects of Additive Noise on the Stability of Glacial Cycles
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    Chapter 7 On the Calibration of Lévy Driven Time Series with Coupling Distances and an Application in Paleoclimate
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    Chapter 8 Data Assimilation for Geophysical Fluids: The Diffusive Back and Forth Nudging
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    Chapter 9 Deterministic Treatment of Model Error in Geophysical Data Assimilation
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    Chapter 10 Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Control
Attention for Chapter 10: Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Control
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Citations

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Chapter title
Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Control
Chapter number 10
Book title
Mathematical Paradigms of Climate Science
Published by
Springer International Publishing, November 2016
DOI 10.1007/978-3-319-39092-5_10
Book ISBNs
978-3-31-939091-8, 978-3-31-939092-5
Authors

Damon McDougall, Chris K. R. T. Jones

Editors

Fabio Ancona, Piermarco Cannarsa, Christopher Jones, Alessandro Portaluri

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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 > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%

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