hans burchard 1 , tom p. rippeth 2 and ulf gräwe 1

16
Hans Burchard 1 , Tom P. Rippeth 2 and Ulf Gräwe 1 1. Leibniz Institute for Baltic Sea Research Warnemünde, Germany 2. School of Ocean Sciences, University of Bangor, Wales Burchard, H., and T.P. Rippeth, Generation of bulk shear spikes in shallow stratified tidal seas, J. Phys. Oceanogr., Generation of shear-spikes in stratified shelf seas

Upload: kassia

Post on 19-Jan-2016

31 views

Category:

Documents


0 download

DESCRIPTION

Generation of shear-spikes in stratified shelf seas. Hans Burchard 1 , Tom P. Rippeth 2 and Ulf Gräwe 1 1. Leibniz Institute for Baltic Sea Research Warnemünde , Germany 2. School of Ocean Sciences, University of Bangor, Wales - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Hans Burchard1, Tom P. Rippeth2 and Ulf Gräwe1

1. Leibniz Institute for Baltic Sea Research Warnemünde, Germany

2. School of Ocean Sciences, University of Bangor, Wales

Burchard, H., and T.P. Rippeth, Generation of bulk shear spikes in shallow stratified tidal seas, J. Phys. Oceanogr., 39, 969-

985, 2009.

Generation of shear-spikes in stratified shelf seas

Page 2: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Rotating bulk shear in Monterey Bay

Itsweire et al. (1989)

Page 3: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

PROVESS-NNS study site(observations: Sep-Nov 1998)

ADCP, CTD, MST

Wind

Page 4: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Bulk property observations in NNS

Wind

Bulk shear squared

Bulk shear directionvs.inertial rotation

Page 5: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Theory I

1D dynamic equations:

Layer averaging:

Page 6: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Theory II

Layer-averaged equations:

Page 7: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Theory III

Definition of bulk shear:

Dynamic equation for bulk shear vector:

Page 8: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Theory IV

Dynamic equation for bulk shear squared:

Conclusion:

Assuming bed stress being small,bulk shear is generated by the alignment of wind vector and shear vector.

Page 9: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Application of theory to observations

Page 10: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Observations ofsmall-scale mixing

• Obtain spetra of small-scale shear from mirostructurprofiler

• Calculate shear wave number spectrum

• Calculate dissipation rate by fitting empirical spectrum

• Apply Osborn (1980) to estimate eddy diffusivity:

Page 11: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Impact of bulk shear on diapycnal mixing

Conclusion:Increased interfacialmixing rates correlatewith high shear.

Can we resolve this in 3D models?

Page 12: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Transect in NNS

Observations (Scanfish data from BSH)

Model results (GETM with adaptive coordinates)

Gräwe et al. (in prep.)

Page 13: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Gräwe et al. (in prep.)

Temperature

[°C]

phys adaptive with 30 layers

non-adaptive with 30 layers

Time series station from 3D model in NNS

Page 14: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

phys adaptive with 30 layers

non-adaptive with 30 layers

Gräwe et al. (in prep.)

Physical mixing log10[Dphy/(K2/s)]

Time series station from 3D model in NNS

Galperin (1988), Umlauf & Burchard (2005)

Page 15: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Gräwe et al. (in prep.)

Numerical mixing

log10[Dnum/(K2/s)]

phys adaptive with 30 layers

non-adaptive with 30 layers

Time series station from 3D model in NNS

Page 16: Hans Burchard 1 , Tom P. Rippeth 2  and Ulf Gräwe 1

Conclusions

• Increased interfacial mixing rates correlate with high shear.

• Numerical models have the capacity to provide sufficient vertical resolution to resolve the shear.

• Increased shear due to internal waves needs to be parameterised.

• Better parameterisation than clipping TKE must be found.

• Numerical mixing must be reduced to make better parameterisations effective.