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Arctic Ice-Ocean Modelling at BIO Shannon Nudds 1, Ji Lei 1, Youyu Lu 1, Charles Hannah 1, Frederic Dupont 2, Zeliang Wang 1, Greg Holloway 1, Michael.

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Presentation on theme: "Arctic Ice-Ocean Modelling at BIO Shannon Nudds 1, Ji Lei 1, Youyu Lu 1, Charles Hannah 1, Frederic Dupont 2, Zeliang Wang 1, Greg Holloway 1, Michael."— Presentation transcript:

1 Arctic Ice-Ocean Modelling at BIO Shannon Nudds 1, Ji Lei 1, Youyu Lu 1, Charles Hannah 1, Frederic Dupont 2, Zeliang Wang 1, Greg Holloway 1, Michael Dunphy 1, Simon Prinsenberg 1 1. Fisheries and Oceans Canada 2. Environment Canada AOMIP 2010

2 ORCA1 (Global), 1 ° CAA, 1/18 ° (~6 km) 3 Models Pan-Arctic, 1/6 ° (~18 km)

3 ORCA-1Pan-Arctic and CAA NEMO version2.3 Ice modelLIM2 T, S InitializationLevitus + PHC 3.0 for Arctic region PHC 3.0 Ice InitializationGLORYS1v1 Global Simulation ORCA025 Global Simulation OBCN/A monthly T, S, velocity, and sea level from ORCA025 (Flather radiation for barotropic velocity) Surface ForcingCORE/OMIP (test forcing sensitivity) CORE NYF and Real Forcing (1998-2007) Data AssimilationNo Model Configuration/Setup

4 Outline: 1.ORCA1 (global 1 degree) – Sensitivity to forcing (total ice volume) – Using Neptune to study flow though Fram Strait (poster by Zeliang Wang et al.) 2.Pan-Arctic (18 km resolution) – Sea-ice and circulation – Improving Circulation: Neptune AGRIF 3.Nested CAA (6 km resolution) – Circulation – Transport – Sea-ice

5 1. ORCA1 Model: Total Ice Volume drifting no drifting Different Solutions Using CORE & OMIP Forcing

6 1. ORCA1 Model: Sensitivity Experiments Idea: Difference in thermal forcing component causing the heat flux change Particularly air temperature and humidity Wind pattern is not responsible for the ice volume drifting Choose to use CORE forcing

7 1000 mb temperature Surface air temperature Sea surface temperatureIce mask changed June 1997 Jan-March 1998

8 2.Pan Arctic Model: Mean Ice Thickness Summer (Jul-Sep)Winter (Jan-Mar) Observations Model mm mm

9 2.Pan Arctic Model: Total Ice Area

10 50 m400 m m/s 2.Pan Arctic Model: Annual Mean Circulation

11 2.Pan Arctic Model: Circulation with Neptune No Neptune Neptune Looks promising but analysis still in progress.

12 Without AGRIF With AGRIF Annual Mean Circulation (30 m)

13 A B C D E F A: B:C:D:E:F: 3. CAA

14 Region F: Landcaster Sound SummerWinter Observed by Hamilton et al. 2002 3. CAA

15 Barrow Strait Lancaster Sound Nares Strait Davis Strait Observations Model Barrow Strait Transport R=0.74

16 Barrow Strait Lancaster Sound Nares Strait Davis Strait Observations Model Davis Strait transport R= 0.07 Barrow Strait + Nares Strait ≈ Davis Strait ✔✗ ✗ ***Must be getting Nares Strait Wrong***

17 3. CAA: Transport Barrow Strait + Nares Strait ≈ Davis Strait ✔✗ ✗

18

19 3. CAA: Ice Concentration Observations (CIS), 2007 Model, 2007 JFM AMJJASOND

20 Summary ORCA1 – OMIP thermal forcing causes drifting in sea-ice volume >> Use CORE forcing. Pan-Arctic – Obtain realistic sea-ice and large scale circulation. – Neptune improves small scale circulation for CAA. CAA – AGRIF improves circulation for CAA region. – Need to solve the problem with the magnitude of the transport. – Nares Strait needs work.

21 Next Steps: ORCA1: – Continue with long term simulations. Pan-Arctic: – Continue Neptune analysis. – Long term simulations and validations. – Tides. CAA: – Expand domain. – Neptune. – Tides with AGRIF. – Continue with long term simulations and validation.


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