On mixing and advection in the BBL On mixing and advection in the BBL and how they are affected by the and how they are affected by the
model grid: Sensitivity studies with a model grid: Sensitivity studies with a generalized coordinate ocean modelgeneralized coordinate ocean model
Tal Ezer and George MellorTal Ezer and George Mellor
Princeton UniversityPrinceton University
• The generalized coordinate modelThe generalized coordinate model((Mellor et al., 2002; Ezer & Mellor, Ocean Modeling, In Press, Mellor et al., 2002; Ezer & Mellor, Ocean Modeling, In Press, 20032003) )
• Sensitivity experiments: Sensitivity experiments:
1. effect of grid (Z vs Sigma) 1. effect of grid (Z vs Sigma)
2. effect of horizontal diffusion & vertical 2. effect of horizontal diffusion & vertical mixingmixing
3. effect of model resolution3. effect of model resolution
The generalized coordinate The generalized coordinate systemsystem
Z(x,y,t)=Z(x,y,t)=(x,y,t)+s(x,y,k,t)(x,y,t)+s(x,y,k,t) ; 1<k<kb, ; 1<k<kb, 0<0<<-1<-1
Special casesSpecial cases
Z-level:Z-level: s=s=(k)[H(k)[Hmaxmax+ + (x,y,t)](x,y,t)]
Sigma coord.: Sigma coord.: s=s=(k)[H(x,y)+ (k)[H(x,y)+ (x,y,t)](x,y,t)]
S-coordinates (Song & Haidvogel, 1994):S-coordinates (Song & Haidvogel, 1994):
s=(1-b) func[sinh(a,s=(1-b) func[sinh(a,)]+b func[tanh(a,)]+b func[tanh(a,)])]a, b= stretching parametersa, b= stretching parameters
Other adaptable gridsOther adaptable grids
Semi-isopycnal?: Semi-isopycnal?: s=func[s=func[(x,y,z,t)](x,y,z,t)]
Potential Grids
Effect of model vertical grid on large-scale, Effect of model vertical grid on large-scale, climate simulationsclimate simulations
Experiments:Experiments:
• Start with T=T(z)Start with T=T(z)• Apply heating in low Apply heating in low
latitudes and cooling latitudes and cooling in high latitudesin high latitudes
• Integrate model for Integrate model for 100 years using 100 years using different gridsdifferent grids
(all use M-Y mixing) (all use M-Y mixing)
T T
T
U
W
I-1 I I+1
K-1
K
K+1
Some Solutions:
• Embedded BBL(Beckman & Doscher, 1997;Killworth & Edwards, 1999;
Song & Chao, 2000)
• “Shaved” or partial cells(Pacanowski & Gnanadesikan,
1998;Adcroft et al., 1997)
The problem of BBLs & deep water formation in z-level models
is well known(Gerdes, 1993; Winton et al.,
1998;Gnanadesikan, 1999)
Dynamics of Overflow Mixing & Entrainment (DOME) Dynamics of Overflow Mixing & Entrainment (DOME) projectproject
Bottom Topography Initial Temperature Bottom Topography Initial Temperature(top view) (side view) (top view) (side view)
embayment
slope
deep
Simulation Simulation of bottom of bottom
plume plume with a with a sigma sigma
coordinate coordinate ocean ocean model model (10km (10km grid)grid)
ExperimeExperimentnt
Horizontal Horizontal ResolutioResolutio
nn
Vertical Vertical ResolutioResolutio
nn
Number Number of Layersof Layers
Diffusion Diffusion Coeff.Coeff.
S1S1 10 km10 km 12-72 m12-72 m 5050 10 10
S2S2 10 km10 km 12-72 m12-72 m 5050 100100
S3S3 10 km10 km 12-72 m12-72 m 5050 10001000
Z1Z1 10 km10 km 50-100 m50-100 m 5050 10 10
Z2Z2 10 km10 km 50-100 m50-100 m 5050 100100
Z3Z3 10 km10 km 50-100 m50-100 m 5050 10001000
S4S4 10 km10 km 60-360 m60-360 m 1010 100100
Z4Z4 2.5 km2.5 km 25 m25 m 9090 1010
The effect of horizontal diffusivity The effect of horizontal diffusivity on the Sigma coordinate modelon the Sigma coordinate model
(tracer concentration in bottom layer)(tracer concentration in bottom layer)
10 days
20 days
DIF=10 DIF=100 DIF=1000
The effect of grid type- The effect of grid type- Sigma vs. Z-level coordinatesSigma vs. Z-level coordinates
SIG-10 days
SIG-20 days
ZLV-10 days
ZLV-20 days
SIG
DIF=10
SIG
DIF=1000
ZLV
DIF=10
ZLV
DIF=1000
Increasing hor. diffusion
causes thinner BBL in sigma
grid but thicker BBL
in z-level grid!
The BBL:
More stably stratified & thinner in
SIG
Larger downslope vel. in SIG, but much
larger (M-Y) mixing coeff.
in ZLV
The difference in mixing mechanism: SIG is dominated by downslope advection, the ZLV by vertical mixing
The effect of grid resolutionThe effect of grid resolution
oror
Is there a convergence of the z-lev. model Is there a convergence of the z-lev. model to the sigma model solution when grid is to the sigma model solution when grid is
refined?refined?
The Problem: to resolve the slope the z-lev. The Problem: to resolve the slope the z-lev. grid requires higher resolution for both, grid requires higher resolution for both,
horizontal and vertical grid.horizontal and vertical grid.
New high-res. z-grid experiment: New high-res. z-grid experiment:
quadruplequadruple hor. res., hor. res., doubledouble ver. res. ver. res.
10 km grid
2.5 km grid
Increasing resolution in the z-lev. grid resulted in thinner BBL and larger downslope extension of
the plume.
ZLV: 10 km, 50 levels ZLV: 2.5 km, 90 levels
The thickness of the BBL and the extension of the plume are comparable to much coarse res. sigma
grid.
SIG: 10 km, 10 levels ZLV: 2.5 km, 90 levels
How do model results compare with How do model results compare with observations?observations?
From: Girton & Sanford, Descent and modification of the overflow plume in the Denmark Strait, JPO, 2003
Density section along the plume Thickness across the plume
ExperimeExperimentnt
ResolutioResolutio
nn
Diffusion Diffusion Coeff.Coeff.
Plume Plume AreaArea
100km100km22
Plume Plume ThicknessThickness
S2S2 10 10 km/50L km/50L
10 10 13.313.3 244 m244 m
S3S3 10 10 km/50Lkm/50L
10001000 14.614.6 276 m276 m
Z2Z2 10 10 km/50Lkm/50L
10 10 7.57.5 414 m414 m
Z3Z3 10 10 km/50Lkm/50L
10001000 6.06.0 498 m498 m
S4S4 10 10 km/10Lkm/10L
100100 10.310.3 276 m276 m
Z4Z4 2.5 2.5 km/90Lkm/90L
1010 9.09.0 272 m272 m
Denmark Denmark Strait Strait Obs.Obs.
(Girton &(Girton & Sanford,Sanford, 2003)2003) ~200 m~200 m
Comments:Comments:
• Terrain-following grids are ideal for BBL and Terrain-following grids are ideal for BBL and dense overflow problems.dense overflow problems.(Isopicnal models are also useful for overflow problems, but may (Isopicnal models are also useful for overflow problems, but may have difficulties in coastal, well mixed regions)have difficulties in coastal, well mixed regions)
• Hybrid or generalized coordinate models may be Hybrid or generalized coordinate models may be useful for intercomparison studies, or for useful for intercomparison studies, or for optimizing large range of scales or processes in a optimizing large range of scales or processes in a single code.single code.
• However, how to best construct such models and However, how to best construct such models and how to optimizing such grids for various how to optimizing such grids for various applications are open questions that need further applications are open questions that need further research. research.