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UvA-DARE is a service provided by the library of the University of Amsterdam (http

s

://dare.uva.nl)

UvA-DARE (Digital Academic Repository)

Statistical mechanics and numerical modelling of geophysical fluid dynamics

Dubinkina, S.B.

Publication date

2010

Link to publication

Citation for published version (APA):

Dubinkina, S. B. (2010). Statistical mechanics and numerical modelling of geophysical fluid

dynamics.

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Contents

Prefa e iii

1 Introdu tion 1

1.1 Hamiltoniansystemsand geometri integration . . .

2

1.1.1 Hamiltoniansystems . . .

2

1.1.2 Geometri integration . . .

6

1.2 Hamiltonianuiddynami s . . .

8

1.2.1 HamiltonianPDEs . . .

8

1.2.2 EulerianandLagrangiandes riptions . . .

10

1.2.3 Numeri almethods. . .

12

1.3 Statisti alme hani sofuids . . .

14

1.3.1 Statisti alensembles . . .

16

1.3.2 Informationtheory . . .

20

1.3.3 Statisti altheoriesforquasigeostrophi ow . . .

22

2 Statisti al me hani sof Arakawa's dis retizations 27 2.1 Introdu tion. . .

27

2.2 Thequasigeostrophi model . . .

28

2.3 Spatialsemi-dis retization . . .

29

2.3.1 Arakawa'sdis retizations . . .

30

2.3.2 Volumepreservation . . .

33

2.4 Energy-enstrophystatisti al theory . . .

34

2.4.1 Meaneldpredi tions . . .

35

2.4.2 PVu tuationpredi tions. . .

36

2.4.3 Approximationof

µ

and

α

. . .

37

2.4.4 Alternativestatisti al theories. . .

38

2.5 Timeintegration . . .

39

2.6 Numeri alexperiments. . .

40

2.7 Con lusions . . .

47

3 Statisti alme hani softheHamiltonianparti le-meshmethod 53 3.1 Introdu tion. . .

53

3.2 Reviewof ontinuumstatisti alequlibriumtheories. . .

55

3.3 Hamiltonianparti le-meshmethod . . .

57

3.3.1 HPMdes ription . . .

57

3.3.2 Propertiesofthedis retization . . .

59

3.4 ALagrangian statisti almodelbasedon anoni alparti ledistributions . . .

63

(3)

ii

Contents

3.5 Eulerianstatisti almodelforHPM . . .

65

3.6 Numeri alVeri ationoftheHPMStatisti alEquilibriumTheories

68

3.6.1 NormallydistributedPV . . .

70

3.6.2 SkewPVdistributions . . .

70

3.6.3 PVdistributions withkurtosis . . .

73

3.7 Con lusions . . .

75

4 Athermostat losure forpointvorti es 77 4.1 Ba kground . . .

77

4.2 Generalized thermostats . . .

78

4.2.1 Langevinthermostat . . .

80

4.2.2 AgeneralizedBulga -Kusnezovmethod . . .

82

4.3 Statisti alme hani sofpointvorti es . . .

83

4.4 Athermostated integratorforpointvorti es . . .

86

4.4.1 Inniteandnitereservoir ensembles . . .

86

4.4.2 Choi eof

s

1

. . .

87

4.4.3 Implementationdetails. . .

87

4.4.4 Computationoftemperatures . . .

88

4.5 Numeri alexperiments. . .

90

4.5.1 Ergodi itytests. . .

90

4.5.2 Momentum onservation . . .

90

4.5.3 Temperatureee ts . . .

92

4.6 Con lusions . . .

96

Summary 103

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