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Norwegian Meteorological Institute met.no Coupling of the met.no ice model to MICOM Jens Debernard Presented at LOM-meeting, 26.-28.1.2005, Miami
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Coupling of the met.no ice model to MICOM

Feb 02, 2016

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Coupling of the met.no ice model to MICOM. Jens Debernard Presented at LOM-meeting , 2 6 .-2 8 .1.200 5 , Miami. Coupling of the met.no ice model to MICOM and MIPOM. Jens Debernard Presented at LOM-meeting , 2 6 .-2 8 .1.200 5 , Miami. Overview. The sea ice model MI-IM - PowerPoint PPT Presentation
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Page 1: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Coupling of the met.no ice model to MICOM

Jens Debernard

Presented at LOM-meeting, 26.-28.1.2005, Miami

Page 2: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Coupling of the met.no ice model to MICOM and MIPOM

Jens Debernard

Presented at LOM-meeting, 26.-28.1.2005, Miami

Page 3: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Overview

1. The sea ice model MI-IM2. Differences when coupling with

MICOM or MIPOM3. Inertial oscillations4. Some results from a regional

coupled atmosphere and ocean system.

5. Summary

Page 4: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

The met.no ice model MI-IM

• 3-layer Semtner-type model

• Prognostic equations for: ice volume, snow volume, ice concentration, internal heat of the ice

• EVP dynamics• Positive definite

advection (non-oscillatory MPDATA)

• Discretized at C-grid• Soon: MPI-parallelized

Page 5: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

The met.no ice model MI-IM

• 3-layer Semtner-type model

• Prognostic equations for: ice volume, snow volume, ice concentration, internal heat of the ice

• EVP dynamics• Positive definite

advection (non-oscillatory MPDATA)

• Discretized at C-grid• Soon: MPI-parallelized

Page 6: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Conservation of mass•Ice volume

•Snow volume

•Ice area (concentration)

H(x) = 0, x < 0 and H(x) = 1, x > 0

Page 7: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Sea ice as a heat reservoir between the atmosphere and the ocean

A - Ice concentrationh – Ice thickness

Qoi

Qai

Qoa

Qao

Page 8: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

MI-IM coupled to the ocean models:

• MICOM• MIPOM Or MI-POM

(the met.no version of the POM)

Page 9: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

MICOM vs MIPOM

Page 10: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Thermodynamical coupling, 1

• MICOM: Omstedt & Wettlaufer, JGR, 1992

Qoi = Ocpw cht|VVii-Vo|(TO – Tf), Tf = mSio, cht=2x10-4

• MIPOM: Mellor & Kantha, JGR, 1989

Qoi = Ocpw ctZ(TO – Tf)

ctz = u*/[Prt -1ln(z/z0)+b (z0u*/)1/2 Pr2/3]Prt = 0.85, Pr = 12.9, b = 3.14

Page 11: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Thermodynamical coupling, 2

• MICOM: Omstedt & Wettlaufer, JGR, 1992

Qoi = Ocpw cht|VVii-Vo|(TO – Tf), Tf = mSio

Fs = [u*/(3.0 Sc)] (S0 – Sio)Sc = 2432

• MIPOM: Mellor & Kantha, JGR, 1989

Qoi = Ocpw ctZ(TO – Tf)

ctz = u*/[Prt -1ln(z/z0)+b (z0u*/)1/2 Pr2/3] Prt = 0.85, Pr = 12.9, b = 3.14

FS = Csz(SO – Sio)

csz = u*/[Prt -1ln(z/z0)+b (z0u*/)1/2 Sc2/3]

Page 12: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Dynamical coupling

• MICOM: Tio = O cdio|Vi-Vo|[ (Vi-Vo)cos() + k x (Vi-Vo) sin()]

cdio ≈ 5x10-3 , ≈ 23º

• MIPOMTio = O cdz |Vi-Vo| (Vi-Vo)

cdz = u*/(-1ln(z/z0))

Page 13: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Coupling time-scheme

T1

MI-IM MICOM or MIPOM

FT,FS,T(x),T(y) TO,SO,UO,VO,HS,Wfrz

FT,FS,T(x),T(y) TO,SO,UO,VO,HS,Wfrz

T1

T2 T2

Page 14: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Inertial oscillations

• We have experienced problems in MICOM with unstable inertial oscillations due to the stress turning term in a C-grid. – No problems for dynamical coupling

time-steps > 12 h (2/f). • MIPOM can be unstable for very thin

surface sigma-layers. – Implicit calculation of ice-ocean stress

inside MIPOM is required

Page 15: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

1992 02

Page 16: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

1993 02

Page 17: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

1994 02

Page 18: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

1995 02

Page 19: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

1996 02

Page 20: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

Summary

• Different vertical representation of the upper ocean is the fundamental difference between the coupling to MICOM and MIPOM.– Coupling should be easier in z-level or hybrid-

layer models with a reasonable resolved, equidistant grid-spacing in the upper ocean.

• Unstable inertial oscillations may occur in both types of systems but they are avoidable.

• Ice models like MI-IM has to be tuned to give a realistic amount of sea ice, both in stand-alone ice-ocean simulations and when coupled to atmosphere models.

Page 21: Coupling of the  met.no  ice model to MICOM

Norwegian Meteorological Institute met.no

END