Dynamics II: lecture 6

author: Gerrit Lohmann date: May 13, 2024

Read Chapter 11 (The thermohaline circulation of the ocean) in Marchal and Plumb

 

What drives the ocean currents?

Friction: transfer of momentum from atmosphere to oceanic Ekman layer

Vorticity dynamics for the ocean and include the wind stress term

\[ D_t u - f v = - \frac{1}{\rho} \frac{\partial p}{\partial x} + \frac{1}{\rho} \partial_z \tau_{xz} \] \[ D_t v + f u = - \frac{1}{\rho} \frac{\partial p}{\partial y} + \frac{1}{\rho} \partial_z \tau_{yz} \]

 

\[ \frac{D}{Dt} \left( {\zeta+f}\right) - \frac{\left(\zeta+f \right)}{h} \frac{D}{Dt} h \, = \, \frac{1}{\rho} \underbrace{\left( \frac{\partial}{\partial x} \, \partial_z \tau_{yz} - \frac{\partial}{\partial y}\, \partial_z \tau_{xz} \right)}_{curl \, \partial_z \tau} \quad . \]

\[ \frac{D}{Dt} \left( \frac{\zeta+f}{h}\right) = \frac{1}{\rho \, h} \, \mbox{curl} \, \partial_z \tau \, \]

Sverdrup transport

Sverdrup
Sverdrup

applied globally using the wind stress from Hellerman and Rosenstein (1983). Contour interval is \(10\) Sverdrups (Tomczak and Godfrey, 1994).

\[ V = \frac{1}{\rho \beta} \, \left( \frac{\partial \tau_{yz} }{\partial x} \, - \frac{\partial \tau_{xz}}{\partial y}\, \right) = \frac{1}{\rho \beta} \, \, \operatorname{curl} \, \tau \]

Ekman Pumping: vertical velocity at the bottom

\(w_E\) as the Ekman vertical velocity the bottom of the Ekman layer \[ w_E = - \int_{-E}^0 \frac{\partial w}{\partial z} dz = \frac{\partial}{\partial x} U_E + \frac{\partial}{\partial y} V_E \]

\(\operatorname{curl} \mathbf{\tau}\) produces a divergence of the Ekman transports leading to \(w_E\)

\[ w_E = \, \frac{\partial }{\partial x} \left( \frac{ \tau_{y}}{\rho \;f }\, \right) - \frac{\partial }{\partial y}\, \left( \frac{ \tau_{x}}{\rho \;f }\, \right) =\operatorname{curl}\left(\frac{\mathbf{\tau}}{\rho\;f}\right) \simeq \frac{1}{\rho\;f} \, \operatorname{curl} \mathbf{\tau} \]

 

The order of magnitude of the Ekman vertical velocity:

typical wind stress variation of \(0.2 N m^{-2}\) per 2000 km in y-direction:

\[ w_E \simeq - \frac{ \Delta \tau_{x}}{\rho \;f_0 \Delta y}\, \simeq \frac{1 }{10^3 kg m^{-3}} \frac{0.2 N m^{-2} }{10^{-4} s^{-1}\, \, 2 \cdot 10^6 m} \simeq 32 \, \, \frac{m}{yr} \]

Ekman Pumping & Sverdrup Transport

 

Ekman
Ekman

 

 

The center of a subtropical gyre is a high pressure zone: clockwise on the Northern Hemisphere

Ekman surface currents towards the center of the gyre

The Ekman vertical velocity balanced by \[ w_E=w_g \] vertical geostrophic current in the interior

geostrophic flow towards the equator

returned flow towards the pole in western boundary currents

Ocean layers

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Steady winds blowing on the sea surface produce a thin, horizontal boundary layer, the Ekman layer. A similar boundary layer exists at the bottom of the atmosphere just above the sea surface, the planetary boundary layer.

North Atlantic Current & Gulfstream

left: 35%

 

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brings warm water northward where it cools.

returns southward as a cold, deep, western-boundary current.


 

Gulf Stream carries 40 Sv of 18°C water northward.

Of this, 15 Sv return southward in the deep western boundary current at a temperature of 2°C.

How much heat is transported northward ?

Calculation:

\[ \underbrace{ c_p}_{4.2 \cdot 10^3 Ws/(m^3 kg)} \, \cdot \, \underbrace{ \rho }_{10^3 kg/m^3 } \, \cdot \, \underbrace{\Phi}_{15 \cdot 10^6 m^3/s} \, \cdot \, \underbrace{\Delta T}_{(18-2) K } = 1 \cdot 10^{15} W \]

The flow carried by the conveyor belt loses 1 Petawatts (PW), close to estimates of Rintoul and Wunsch (1991)

Ocean heat transport

left: 55%

 

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Conveyor Belt

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Ocean: History

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Conveyor Belt

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Conveyor belt: climate change

left: 55%

 

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halting or reversing the ocean circulation

interpretation of Greenland ice core records

climate states with different ocean modes

Overturning Circulation (model)

THC Modelled meridional overturning streamfunction in Sv 10^6 = m^3 /s in the Atlantic Ocean. Grey areas represent zonally integrated smoothed bathymetry

Atlantic water masses

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North

Estimates of overturning

Timescale T to ‘fill up’ the Atlantic basin:

\[ T = \frac{ 80 \cdot 10^{12} \, m^2 \cdot 4000 \, m}{15 \cdot 10^6 \, m^3 s^{-1}} = 2.13 \cdot 10^{10} s = 676 \;years\]

Overturning is balanced by large-scale upwelling:

\[ area \cdot w = 15 \cdot 10^6 \, m^3 s^{-1}\]

\[ w = 0.1875 \cdot 10^{-6} m\;s^{-1} = 5.9 \cdot 10^{-15} m \; y^{-1}. \]

 

compare to Ekman pumping \[ w_E \simeq 32 \, \, m \; y^{-1}. \]

Vorticity dynamics of meridional overturning (y,z)

\[ \frac{\partial}{\partial t} v \quad = \quad - \frac{1}{\rho_0} \frac{\partial p}{\partial y} \quad - \quad f u \quad - \quad \kappa v \]

\[ \frac{\partial}{\partial t} w \quad = \quad - \frac{1}{\rho_0} \frac{\partial p}{\partial z} \quad - \quad \frac{g}{\rho_0} (\rho -\rho_0) \quad - \quad \kappa w \] \(\kappa\) as parameter for Rayleigh friction.

Amplitude of overturning

\[ \frac{d}{dt} \Phi_{max} \, = \, \frac{a}{\rho_0} (\rho_{north} - \rho_{south}) \, \, - \, \, \kappa \Phi_{max} \] with \[ a = g L H^2/4(L^2 + H^2) \, \]

This shows that the overturning circulation depends on the density differences on the right and left boxes.

It is simplified to a diagnostic relation

\[ \Phi_{max} = \frac{a}{\rho_0 \, \kappa} \, \, (\rho_{north} - \rho_{south}) \quad \]

because the adjustment of \(\Phi_{max}\) is quasi-instantaneous due to adjustment processes, e.g. Kelvin waves.

North-south density gradient in an ocean basin

Primary north-south gradient in balance with an eastward geostrophic current: generates a secondary high & low pressure system, northward current

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Schematic picture of the hemispheric two box model (a) and of the interhemispheric box model

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  1. The Atlantic surface density is mainly related to temperature differences.
    1. But the pole-to-pole differences are caused by salinity differences. }

Box model of the thermohaline circulation

hemispheric (Stommel-type) or interhemispheric (Rooth-type)

\[ \Phi \, = \, - c \, ( \alpha \Delta T - \beta \Delta S ) \qquad , \] where \(\alpha\) and \(\beta\) are the thermal and haline expansion coefficients,

\(\Delta\) denotes the meridional difference operator applied to temperature T and salinity S, respectively.

 

single hemispheric view:

The meridional density differences are clearly dominated by temperature

Salinity difference breakes the temperature difference

both hemispheres:

densities at high northern and southern latitudes are close,

the pole-to-pole differences are caused by salinity differences.

Ocean: multiple equilibria in GCM

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Ocean: multiple equilibria in GCM

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Ocean response: Hosing the North Atlantic

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  1. AMOC indices of North Atlantic hosing for different hosing areas. Units are Sv. Black line represents the unperturbed LGM experiment. Hosing is for the period 840–990. (b) Annual mean sea surface salinity anomaly between LGM and the perturbation experiment LGM with 0.2 Sv for the model years 900–950.

-> Multi-scale Ocean GCM

Conveyor belt: climate change

left: 55%

 

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halting or reversing the ocean circulation

interpretation of Greenland ice core records

climate states with different ocean modes


Deglaciation
Deglaciation

Abrupt climate change, termination of ice sheets, Climate System II

Ocean box model

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Ocean: Temperature

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Euler forward for ocean temperature

      Tnln = Tnl + dts * ((Hfnl)/(rcz2)-(Tnl-Tml)*phi/Vnl);
      
      Tmln = Tml + dts * ((Hfml)/(rcz1)-(Tml-Tsl)*phi/Vml);
      
      Tsln = Tsl + dts * ((Hfsl)/(rcz2)-(Tsl-Td)*phi/Vsl);
      
      Tdn = Td + dts * (-(Td-Tnl)*(phi/Vd));

Atmosphere

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Box model

1) Boxmodel (Online Version Jupyter Notebook)

link to online tool

 

2) Boxmodel (Jupyter Notebook)

download jupyter notebook

 

3) Boxmodel (Version using R-shiny)

How to setup and run the Boxmodel R-shiny app

download

password: DynamicsII2020

 

 

Box model with jupyter

for the box model, you can download sevenbox_jupyter.ipynb

conda create -n jupyter-R

conda activate jupyter-R

conda install -y -c conda-forge pip notebook nb_conda_kernels jupyter_contrib_nbextensions

conda install -y -c conda-forge r r-irkernel r-ggplot2 r-dplyr

jupyter-notebook sevenbox_jupyter.ipynb

you have to download conda (or miniconda). Here a good web site: https://conda.io/projects/conda/en/latest/user-guide/install/index.html

 

Boxmodel with R-shiny