quantas - off numerical simulations of dense bottom currents in the western baltic sea:...

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QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure- induced and numerical mixing Funded by: Hannes Rennau

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Page 1: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

QuantAS - Off

Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural,

structure-induced and numerical mixing

Funded by:

Hannes Rennau

Page 2: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Model area

Page 3: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Model area

Hot spot of water mass transformation

Page 4: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Model area

Hot spot of water mass transformation

Drodgen Sill (~8m)

Darss Sill (~20m)

Page 5: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main pathwaysOf dense bottom

currents

Page 6: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main pathwaysOf dense bottom

currents

Page 7: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main pathwaysOf dense bottom

currents

Page 8: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

QuantAS - Off

Main pathwaysOf dense bottom

currents

Page 9: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

QuantAS - Off

Main pathwaysOf dense bottom

currents

Page 10: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Numerical Model

- typical ocean-circulation model GETM with state of the art turbulence model GOTM (code developers for both models at IOW)

Parallel execution on IOW Linux Cluster

Page 11: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Simulation of bottom salinity over nine months

Page 12: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Darss Sill Tracer vs. Drodgen Sill Tracer

Tracer release positions

Page 13: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Darss Sill Tracer vs. Drodgen Sill Tracer

Tracer release positions

Page 14: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Darss Sill Tracer vs. Drodgen Sill Tracer

Tracer release positions

Page 15: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Darss Sill Tracer vs. Drodgen Sill Tracer

Tracer release positions

Page 16: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Model Validation

MARNET Arkona Station

Burchard, H., F. Janssen, K. Bolding, L. Umlauf, and H. Rennau, Model simulations of dense bottom currents in the Western Baltic Sea, Cont. Shelf Res., 29, 205-220, 2009.

x

Page 17: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Natural mixing in the numerical model

Significantly increased natural mixing:

in channels (Kriegers Flak, Bornholm Channel, …)

in the area of shallow sills (Drodgen Sill, Darss Sill, …)

Burchard, H., F. Janssen, K. Bolding, L. Umlauf, and H. Rennau, Model simulations of dense bottom currents in the Western Baltic Sea, Cont. Shelf Res., 29, 205-220, 2009.

Page 18: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Physical mixing Numerical mixing

found method to analyse numerical mixing

Rennau, H., and H. Burchard, Quantitative analysis of numerically induced mixing in a coastal model application, Ocean Dynamics, submitted December 2008. Burchard, H., and H. Rennau, Comparative quantification of physically and numerically induced mixing in ocean models, Ocean Modelling, 20, 293-311, 2008.

Page 19: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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• Fundamental knowledge about propagation of dense bottom currents in the western Baltic Sea

• Model derived amount of physically induced mixing without offshore foundations

Conclusions

Page 20: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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• Fundamental knowledge about propagation of dense bottom currents in the western Baltic Sea

• Model derived amount of physically induced mixing without offshore foundations

Conclusions

• numerically induced mixing and physical mixing have same orders of magnitude but different horizontal distribution

• enhanced numerical mixing –> less physical mixing

• numerical techniques: adaptive vertical coordinates,…

Page 21: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Impact of bridge piles

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Impact of bridge piles

Lass et al. (2008)

distance from pile / m

Page 23: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Impact of bridge piles - modeling

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Impact of bridge piles - modelingH.U. Lass et al. (2008)

28

24

20

16

2000 1000 PILE 1000 2000distance from pile / m

distance from pile / m

Page 25: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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GETM 2D Slice Model

Page 26: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Additional mixing due to Offshore windpark foundations

Local model at University of Hannover

Regional model at IOW

Parameterisaton?

Page 27: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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'Worst Case Study' with Offshore Windpark

Page 28: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Influence of Offshore wind park: 10. April, 2004

With windpark without windpark

Page 29: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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windpark

„Worst Case“ Study – Simulation with Offshore WindparkSnapshot:

bottom salinity (without windpark) – bottom salinity (with windpark)

Page 30: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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windpark

„Worst Case“ Study – Simulation with Offshore WindparkSnapshot:

bottom salinity (without windpark) – bottom salinity (with windpark)

+0.5

Page 31: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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windpark

„Worst Case“ Study – Simulation with Offshore WindparkSnapshot:

bottom salinity (without windpark) – bottom salinity (with windpark)

+0.5

-0.2

Page 32: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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• - expected low additional mixing due to Offshore• Windpark foundations (needs further calibration • in parameterisation and longer time series)

• - strength of additional mixing mainly dependent on:• (1) where to be build • (2) windfarm distribution (how many, …)

Main conclusions

Page 33: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main Focus for last year:

- Final results concerning additional mixing of offshore windpark foundations in the Western Baltic Sea (publication in preparation)

Page 34: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main Focus for last year:

- Final results concerning additional mixing of offshore windpark foundations in the Western Baltic Sea (publication in preparation)

- Model nesting: 3D structure development of dense bottom currents in channels (Kriegers Flak North and Bornholm Channel) (publication in preparation)

Page 35: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main Focus for last year:

- Final results concerning additional mixing of offshore windpark foundations in the Western Baltic Sea (publication in preparation)

- Model nesting: 3D structure development of dense bottom currents in channels (Kriegers Flak North and Bornholm Channel) (publication in preparation)

- Passive Tracer study (correlations for propagation time of dense bottom currents) (publication in preparation)

Page 36: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main Focus for last year:

Page 37: QuantAS - Off Numerical simulations of dense bottom currents in the Western Baltic Sea: Quantification of natural, structure-induced and numerical mixing

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Main Focus for last year:

- Final results concerning additional mixing of offshore windpark foundations in the Western Baltic Sea (publication in preparation)

- Model nesting: 3D structure development of dense bottom currents in channels (Kriegers Flak North and Bornholm Channel) (publication in preparation)

- Passive Tracer study (correlations for propagation time of dense bottom currents) (publication in preparation)

Rennau, H., and H. Burchard, Quantitative analysis of numerically induced mixing in a coastal model application, Ocean Dynamics, submitted December 2008.

Burchard, H., and H. Rennau, Comparative quantification of physically and numerically induced mixing in ocean models, Ocean Modelling, 20, 293-311, 2008.

Burchard, H., F. Janssen, K. Bolding, L. Umlauf, and H. Rennau, Model simulations of dense bottom currents in the Western Baltic Sea, Cont. Shelf Res., 29, 205-220, 2009.

Fehmarn Belt Project