Lagrangian and Eulerian methods of ocean model validation

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ENSO and the local oceanAverage temperature changes betweenAuckland and 30°SThe upper ocean temperature is correlated with the SOI:
Models• We can only understand climate changemechanisms by modelling• We have to validate models– Compare model hindcasts withobservations
Page 1 and 2: Lagrangian and Eulerian methods ofo
Page 3: Sea Level Rise: globalThe global me
Page 7 and 8: Example of model output• Ocean is
Page 9 and 10: Norfolk RidgeColvilleKermadecRidges
Page 11 and 12: Real world• Global Drifter Progra
Page 13 and 14: GDP 1° binned mean velocity• Mea
Page 15 and 16: Mesoscale eddy• Eddies are respon
Page 17 and 18: • BluelinkA model and a Real worl
Page 19 and 20: Model releases from one site• Rel
Page 21 and 22: • Are these simulated distributio
Page 23 and 24: Taylor (1921)∂u∂t= Kσ=∂2 2(
Page 25 and 26: Timescales - general examplesR(τ )
Page 27 and 28: Spectra are Fourier transforms ofau
Page 29 and 30: Eulerian vs LagrangianSimulation of
Page 31 and 32: Model and real worldsLagrangianEule
Page 33 and 34: GDP tracks 1993-2006• Tracksdivid
Page 35 and 36: Use Models to simulate drifters•
Page 37 and 38: Lagrangian Autocorrelations and Tim
Page 39 and 40: T E from Eulerian currentsZonal cur
Page 41 and 42: Eulerian Autocorrelations and times
Page 43 and 44: Summary Part 1• Bluelink timescal
Page 45 and 46: η = T / TL Eα=u rms′u *• α =
Page 47 and 48: Middleton (1985)• Lineartransform
Page 49 and 50: Real worldEulerian R E(ηt) Lagrang
Page 51 and 52: Bluelink worldEulerian R E(ηt) Lag
Page 53 and 54: Bluelink and Real worldLow dispersi
Page 56 and 57:
What does this all mean?• GDP pas
Page 58 and 59:
Conclusions• Model validation is
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Lagrangian and Eulerian methods of ocean model validation

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