《非线性动力学和统计理论在地球物理流动中的应用 英文版》PDF下载

  • 购买积分:17 如何计算积分?
  • 作  者:(美)马伊达,王晓宁著
  • 出 版 社:北京:世界图书北京出版公司
  • 出版年份:2015
  • ISBN:9787510086281
  • 页数:551 页
图书介绍:本书是一部讲述地球物理流运用的非线性动力系统和统计理论的入门级教程,适于流体力学相关的从研究生到高级科研人员的多个交叉学科读者群。书中的很多东西应该国内没讲过,能够很好地弥补国内物理流体力学教材稀缺。没有地球物理流、概率论、信息论和平衡态统计力学的读者,这些问题将迎刃而解,书中将这些话题和相关的背景概念都引入,并通过简单例子讲述明白。目次:正压地球物理流和二维流体流;对大尺度强迫的响应;基本地球物理流的选择性衰退原理;稳定地球流的非线性稳定性;地形流相互作用、非线性不稳定性和混沌动力学。

1 Barotropic geophysical flows and two-dimensional fluid flows:elementary introduction 1

1.1 Introduction 1

1.2 Some special exact solutions 8

1.3 Conserved quantities 33

1.4 Barotropic geophysical flows in a channel domain-an important physical model 44

1.5 Variational derivatives and an optimization principle for elementary geophysical solutions 50

1.6 More equations for geophysical flows 52

References 58

2 The response to large-scale forcing 59

2.1 Introduction 59

2.2 Non-linear stability with Kolmogorov forcing 62

2.3 Stability of flows with generalized Kolmogorov forcing 76

References 79

3 The selective decay principle for basic geophysical flows 80

3.1 Introduction 80

3.2 Selective decay states and their invariance 82

3.3 Mathematical formulation of the selective decay principle 84

3.4 Energy-enstrophy decay 86

3.5 Bounds on the Dirichlet quotient,∧(t) 88

3.6 Rigorous theory for selective decay 90

3.7 Numerical experiments demonstrating facets of selective decay 95

References 102

A.1 Stronger controls on ∧(t) 103

A.2 The proof of the mathematical form of the selective decay principle in the presence of the beta-plane effect 107

4 Non-linear stability of steady geophysical flows 115

4.1 Introduction 115

4.2 Stability of simple steady states 116

4.3 Stability for more general steady states 124

4.4 Non-1inear stability of zonal flows on the beta-plane 129

4.5 Variational characterization of the steady states 133

References 137

5 Topographic mean flow interaction,non-linear instability,and chaotic dynamics 138

5.1 Introduction 138

5.2 Systems with layered topography 141

5.3 Integrable behavior 145

5.4 A limit regime with chaotic solutions 154

5.5 Numerical experiments 167

References 178

Appendix 1 180

Appendix 2 181

6 Introduction to information theory and empirical statistical theory 183

6.1 Introduction 183

6.2 Information theory and Shannon's entropy 184

6.3 Most probable states with prior distribution 190

6.4 Entropy for continuous measures on the line 194

6.5 Maximum entropy principle for continuous fields 201

6.6 An application of the maximum entropy principle to geophysical flows with topography 204

6.7 Application of the maximum entropy principle to geophysical flows with topography and mean flow 211

References 218

7 Equilibrium statistical mechanics for systems of ordinary differential equations 219

7.1 Introduction 219

7.2 Introduction to statistical mechanics for ODEs 221

7.3 Statistical mechanics for the truncated Burgers-Hopf equations 229

7.4 The Lorenz 96 model 239

References 255

8 Statistical mechanics for the truncated quasi-geostrophic equations 256

8.1 Introduction 256

8.2 The finite-dimensional truncated quasi-geostrophic equations 258

8.3 The statistical predictions for the truncated systems 262

8.4 Numerical evidence supporting the statistical prediction 264

8.5 The pseudo-energy and equilibrium statistical mechanics for fluctuations about the mean 267

8.6 The continuum limit 270

8.7 The role of statistically relevant and irrelevant conserved quantities 285

References 285

Appendix 1 286

9 Empirical statistical theories for most probable states 289

9.1 Introduction 289

9.2 Empirical statistical theories with a few constraints 291

9.3 The mean field statistical theory for point vortices 299

9.4 Empirical statistical theories with infinitely many constraints 309

9.5 Non-1inear stability for the most probable mean fields 313

References 316

10 Assessing the potential applicability of equilibrium statistical theories for geophysical flows:an overview 317

10.1 Introduction 317

10.2 Basic issues regarding equilibrium statistical theories for geophysical flows 318

10.3 The central role of equilibrium statistical theories with a judicious prior distribution and a few external constraints 320

10.4 The role of forcing and dissipation 322

10.5 Is there a complete statistical mechanics theory for ESTMC and ESTP? 324

References 326

11 Predictions and comparison of equilibrium statistical theories 328

11.1 Introduction 328

11.2 Predictions of the statistical theory with a iudicious prior and a few external constraints for beta-plane channel flow 330

11.3 Statistical sharpness of statistical theories with few constraints 346

11.4 The limit of many-constraint theory(ESTMC)with small amplitude potential vorticity 355

References 360

12 Equilibrium statistical theories and dynamical modeling of flows with forcing and dissipation 361

12.1 Introduction 361

12.2 Meta-stability of equilibrium statistical structures with dissipation and small-scale forcing 362

12.3 Crude closure for two-dimensional flows 385

12.4 Remarks on the mathematical iustifications of crude closure 405

References 410

13 Predicting the jets and spots on Jupiter by equilibrium statistical mechanics 411

13.1 Introduction 411

13.2 The quasi-geostrophic model for interpreting observations and predictions for the weather layer of Jupiter 417

13.3 The ESTP with physically motivated prior distribution 419

13.4 Equilibrium statistical predictions for the jets and spots on Jupiter 423

References 426

14 The statistical relevance of additional conserved quantities for truncated geophysical flows 427

14.1 Introduction 427

14.2 A numerical 1aboratory for the role of higher-order invariants 430

14.3 Comparison with equilibrium statistical predictions with a iudicious prior 438

14.4 Statistically relevant conserved quantities for the truncated Burgers-Hopf equation 440

References 442

A.1 Spectral truncations of quasi-geostrophic flow with additional conserved quantities 442

15 A mathematical framework for quantifying predictability utilizing relative entropy 452

15.1 Ensemble prediction and relative entropy as a measure of predictability 452

15.2 Quantifying predictability for a Gaussian prior distribution 459

15.3 Non-Gaussian ensemble predictions in the Lorenz 96 model 466

15.4 Information content beyond the climatology in ensemble predictions for the truncated Burgers-Hopf model 472

15.5 Further developments in ensemble predictions and information theory 478

References 480

16 Barotropic quasi-geostrophic equations on the sphere 482

16.1 Introduction 482

16.2 Exact solutions,conserved quantities,and non-linear stability 490

16.3 The response to large-scale forcing 510

16.4 Selective decay on the sphere 516

16.5 Energy enstrophy statistical theory on the unit sphere 524

16.6 Statistical theories with a few constraints and statistical theories with many constraints on the unit sphere 536

References 542

Appendix 1 542

Appendix 2 546

Index 550