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内容大纲
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作者介绍
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目录
Preface
1 Barotropic geophysical flows and two-dimensional fluid flows: elementary introduction
1.1 Introduction
1.2 Some special exact solutions
1.3 Conserved quantities
1.4 Barotropic geophysical flows in a channel domain - an important physical model
1.5 Variational derivatives and an optimization principle for elementary geophysical solutions
1.6 More equations for geophysical flows
References
2 The response to large-scale forcing
2.1 Introduction
2.2 Non-linear stability with Kolmogorov forcing
2.3 Stability of flows with generalized Kolmogorov forcing
References
3 The selective decay principle for basic geophysical flows
3.1 Introduction
3.2 Selective decay states and their invariance
3.3 Mathematical formulation of the selective decay principle
3.4 Energy-enstrophy decay
3.5 Bounds on the Dirichlet quotient, A(t)
3.6 Rigorous theory for selective decay
3.7 Numerical experiments demonstrating facets of selective decay
References
A.1 Stronger controls on A(t)
A.2 The proof of the mathematical form of the selective decay principle in the presence of the beta-plane effect
4 Non-linear stability of steady geophysical flows
4.1 Introduction
4.2 Stability of simple steady states
4.3 Stability for more general steady states
4.4 Non-linear stability of zonal flows on the beta-plane
4.5 Variational characterization of the steady states
References
5 Topographic mean flow interaction, non-linear instability, and chaotic dynamics
5.1 Introduction
5.2 Systems with layered topography
5.3 Integrable behavior
5.4 A limit regime with chaotic solutions
5.5 Numerical experiments
References
Appendix 1
Appendix 2
6 Introduction to information theory and empirical statistical theory
6.1 Introduction
6.2 Information theory and Shannon's entropy
6.3 Most probable states with prior distribution
6.4 Entropy for continuous measures on the line
6.5 Maximum entropy principle for continuous fields
6.6 An application of the maximum entropy principle to geophysical flows with topography
6.7 Application of the maximum entropy principle to geophysical flows with topography and mean flow
References
7 Equilibrium statistical mechanics for systems of ordinary differential equations
7.1 Introduction
7.2 Introduction to statistical mechanics for ODEs
7.3 Statistical mechanics for the truncated Burgers-Hopf equations
7.4 The Lorenz 96 model
References
8 Statistical mechanics for the truncated quasi-geostrophic equations
8.1 Introduction
8.2 The finite-dimensional truncated quasi-geostrophic equations
8.3 The statistical predictions for the truncated systems
8.4 Numerical evidence supporting the statistical prediction
8.5 The pseudo-energy and equilibrium statistical mechanics for
fluctuations about the mean
8.6 The continuum limit
8.7 The role of statistically relevant and irrelevant
conserved quantities
References
Appendix 1
9 Empirical statistical theories for most probable states
9.1 Introduction
9.2 Empirical statistical theories with a few constraints
9.3 The mean field statistical theory for point vortices
9.4 Empirical statistical theories with infinitely many constraints
9.5 Non-linear stability for the most probable mean fields
References
10 Assessing the potential applicability of equilibrium statistical
theories for geophysical flows: an overview
10.1 Introduction
10.2 Basic issues regarding equilibrium statistical theories
for geophysical flows
10.3 The central role of equilibrium statistical theories with a
judicious prior distribution and a few external constraints
10.4 The role of forcing and dissipation
10.5 Is there a complete statistical mechanics theory for ESTMC
and ESTP?
References
11 Predictions and comparison of equilibrium statistical theories
11.1 Introduction
11.2 Predictions of the statistical theory with a judicious prior and a
few external constraints for beta-plane channel flow
11.3 Statistical sharpness of statistical theories with few constraints
11.4 The limit of many-constraint theory (ESTMC) with small
amplitude potential vorticity
References
12 Equilibrium statistical theories and dynamical modeling of
flows with forcing and dissipation
12.1 Introduction
12.2 Meta-stability of equilibrium statistical structures with
dissipation and small-scale forcing
12.3 Crude closure for two-dimensional flows
12.4 Remarks on the mathematical justifications of crude closure
References
13 Predicting the jets and spots on Jupiter by equilibrium
statistical mechanics
13.1 Introduction
13.2 The quasi-geostrophic model for interpreting observations
and predictions for the weather layer of Jupiter
13.3 The ESTP with physically motivated prior distribution
13.4 Equilibrium statistical predictions for the jets and spots
on Jupiter
References
14 The statistical relevance of additional conserved quantities for
truncated geophysical flows
14.1 Introduction
14.2 A numerical laboratory for the role of higher-order invariants
14.3 Comparison with equilibrium statistical predictions
with a judicious prior
14.4 Statistically relevant conserved quantities for the
truncated Burgers-Hopf equation
References
A.1 Spectral truncations of quasi-geostrophic flow with additional
conserved quantities
15 A mathematical framework for quantifying predictability
utilizing relative entropy
15.1 Ensemble prediction and relative entropy as a measure of
predictability
15.2 Quantifying predictability for a Gaussian
prior distribution
15.3 Non-Gaussian ensemble predictions in the Lorenz 96 model
15.4 Information content beyond the climatology in ensemble
predictions for the truncated Burgers-Hopf model
15.5 Further developments in ensemble predictions and
information theory
References
16 Barotropie quasi-geostrophic equations on the sphere
16.1 Introduction
16.2 Exact solutions, conserved quantities, and non-linear stability
16.3 The response to large-scale forcing
16.4 Selective decay on the sphere
16.5 Energy enstrophy statistical theory on the unit sphere
16.6 Statistical theories with a few constraints and statistical theories
with many constraints on the unit sphere
References
Appendix 1
Appendix 2
Index
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