+ Tomoki Miyakawa & NICAM-team (AORI, The Univ. of Tokyo) Eastward

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Presentation transcript:

Current status of MJO simulations using NICAM and its 3D-ocean coupled version NICOCO + Tomoki Miyakawa & NICAM-team (AORI, The Univ. of Tokyo) Eastward Madden-Julian Oscillation (MJO) Simulated on the K computer, hp130010 Visualised by Dr Daisuke Matusoka  (CEIST JAMSTEC)

NICAM (atmosphere) Icosahedral grid system COCO (ocean) Tripolar grid system NICOCO (new coupled model) Coupler (J-cup)

What should we use NICOCO for?? ・ A major motivation for ocean coupling is climate studies. → A super-heavy task for NICAM at the moment, not quite suitable for a pilot experiment.

What should we use NICOCO for?? ・ A major motivation for ocean coupling is climate studies. → A super-heavy task for NICAM at the moment, not quite suitable for a pilot experiment. ・ Ocean have longer time-scales than the atmosphere. → The effect of ocean-coupling is unlikely to appear in short-range weather simulations.

What should we use NICOCO for?? ・ A major motivation for ocean coupling is climate studies. → A super-heavy task for NICAM at the moment, not quite suitable for a pilot experiment. ・ Ocean have longer time-scales than the atmosphere. → The effect of ocean-coupling is unlikely to appear in short-range weather simulations. Target: subseasonal 〜 seasonal time-scale range

( MJO simulation by NICAM ) Bivariate correlation score of NICAM a : RMMs of reference data b : RMMs of Model t : Lead time i : case ID Cor RMM: Index for MJO phase & amplitude 4 8 12 16 20 24 28 32 36 40 (days) 1.0 0.8 0.6 0.2 0.4 COR Phase 1 start (western Indian Ocean) Phase 2 start Eastern Indian Ocean Phase 8 start (western hemisphere) Overall COR >0.6 maintained for 26 – 28 days (Miyakawa et al. 2014, Nature Comm.)

SST used for atmospheric NICAM MJO skill evaluation Model Configuration (NICAMK-2012) Initial date -1 w Observed SST Climatological seasonal cycle of SST (local) “anomaly” retained throughout the simulation SST Time SST used for nudging the mixed-layer ocean model = time varying seasonal cycle + anomaly Allows “forecast mode” simulations, but performance get worse when ocean anomalies change rapidly.

Better ocean = better MJO skill? Nudged by observed SST Not very likely, but perhaps a 2-4 day improvement? (based on a small sample size)

Phase 8: Drops first, but stays aloft. Phase 2 start (Eastern IO) NICAM 54 case Overall Phase 1 start (western IO) Phase 8 start (western hemisphere) NICOCO 54 case Well…. Phase 8: Drops first, but stays aloft. Phase 1, 2: Small impact at first, drops quickly later. La-Nina bias ?

Mean drift (SST, 850 wind: NICOCO) Day 10 Day 30 -0.5 Day 50 Day 70 -5 deg 5 deg

Skill spread between initial phases reduced. NICAM 54 case Phase 2 start NICAM 54 case, bias subtracted Overall Phase 1 start Phase 8 start NICOCO 54 case, bias subtracted NICOCO 54 case Skill spread between initial phases reduced. Overall skill comparable to NICAM.

What should we use NICOCO for?? Target: subseasonal 〜 seasonal time-scale range Overall MJO skill comparable to NICAM? No merit then?

What should we use NICOCO for?? Target: subseasonal 〜 seasonal time-scale range Overall MJO skill comparable to NICAM? No merit then? Disadvantage of having bias/drift. VS Advantage of having varying oceanic signals Advantage of NICOCO may show up if we focus on events that had large oceanic signals.

Target MJO event (May, 1998) Takayabu et al. 1999, MJO abruptly finishing off giant El Nino?

What caused the abrupt termination of the El Nino? ・MJO (or moist-KW emitted from the MJO)   associated easterly winds Takayabu (1999), Straub et al. (2006) ・Seasonal shift of ITCZ Vecchi (2006) ・Overlap of oceanic upwelling Rossby wave and Kelvin wave. Picaut et al. (2002)

What caused the abrupt termination of the El Nino? ・MJO (or moist-KW emitted from the MJO)   associated easterly winds Takayabu (1999), Straub et al. (2006) ・Seasonal shift of ITCZ Vecchi (2006) ・Overlap of oceanic upwelling Rossby wave and Kelvin wave. Picaut et al. (2002)

Apr. 20 – Apr. 28 NICOCO (1deg ocean) 1 daily interval initiation ・Do we get the Eastward propagation → Yes, more or less. NOAA-OLR NICOCO OLR (4/20 init) 4/26 5/8 5/20 5/31 180 360 (deg) 276 164 (W/m2) 220

Target MJO event (May, 1998)

NICOCO, 9 members (Apr. 20 - Apr. 28, 1998 init) (Drift defined from 54 simulations is removed) 1.0 0.8 Score 0.6 0.4 NICOCO 0.2 NICAM 4 8 12 16 20 24 28 32 36 40 (days)

NICOCO, 9 members (Apr. 20 - Apr. 28, 1998 init) (Drift defined from 54 simulations is removed) 1.0 0.8 Score 0.6 0.4 NICOCO 0.2 NICAM 4 8 12 16 20 24 28 32 36 40 (days) Apr 20 - Apr 30

NICOCO, 9 members (Apr. 20 - Apr. 28, 1998 init) (Drift defined from 54 simulations is removed) 1.0 0.8 Score 0.6 0.4 NICOCO 0.2 NICAM 4 8 12 16 20 24 28 32 36 40 (days) Apr 20 - Apr 30 May 1 - May 20

SST anomalies (May 2) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

SST anomalies (May 10) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

SST anomalies (May 18) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

SST anomalies (May 26) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

SST anomalies (June 3) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

SST anomalies (June 11) Obs Apr 22 init Apr 25 init Apr 28 init -7 deg +7 deg

Winds, currents, ocean T, currents NICOCO, Apr. 20 init 800 hPa SST anomaly, 850hPa winds 1000 hPa May 1 100 m Depth May 15 May 29

NICOCO, 9 members (Apr. 20 - Apr. 28, 1998 init) (Drift defined from 54 simulations is removed) 3.0 2.0 1.0 NINO3.4 Index 0.0 -1.0 -2.0 May 1 Jun 1 Jul 2 Aug 2 1.0 0.8 Score 0.6 0.4 NICOCO 0.2 NICAM 4 8 12 16 20 24 28 32 36 40 (days)

Exploring the role of the MJO easterly winds May 1 - May 20

Reconstructed 850 hPa MJO zonal wind SST anomaly May 1 May 20 May 1 May 20 May 1 May 20

Reconstructed 850 hPa MJO zonal wind SST anomaly May 1 May 20 May 1 May 20 May 1 May 20

Reconstructed 850 hPa MJO zonal wind SST anomaly May 1 May 20 May 1 May 20 May 1 May 20

Summary NICOCO is being tested for MJO simulations. NICOCO overall MJO skill is comparable to NICAM. Drift exists, but does not destroy the MJO signals. NICOCO performs better for events with large oceanic signals. NICOCO results suggest that MJO associated easterly winds affected the abrupt termination of the 1998 El Nino.

Summary NICOCO is being tested for MJO simulations. NICOCO overall MJO skill is comparable to NICAM. Drift exists, but does not destroy the MJO signals. NICOCO performs better for events with large oceanic signals. NICOCO results suggest that MJO associated easterly winds affected the abrupt termination of the 1998 El Nino. → So it is nice to have a ocean coupled global cloud(-system) resolving model after all !

Thank you