amoc mean 1988 2007 in depth space
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AMOC Mean (1988 2007) in Depth Space Danabasoglu et al. (2014) - PowerPoint PPT Presentation

CORE II AMOC Mean (1988 2007) in Depth Space Danabasoglu et al. (2014) Reanalysis AMOC time mean (1961 2007) Karspeck et al. (2016) CORE II AMOC EOF1 No detrending Danabasoglu et al. (2016) Reanalysis AMOC Standard Deviation (1961


  1. CORE ‐ II AMOC Mean (1988 ‐ 2007) in Depth Space Danabasoglu et al. (2014)

  2. Reanalysis AMOC time mean (1961 ‐ 2007) Karspeck et al. (2016)

  3. CORE ‐ II AMOC EOF1 No detrending Danabasoglu et al. (2016)

  4. Reanalysis AMOC Standard Deviation (1961 ‐ 2007) Karspeck et al. (2016)

  5. CORE ‐ II AMOC Maximum Transport Anomaly Time Series 26.5 o N 45 o N Danabasoglu et al. (2016)

  6. Reanalysis Annual ‐ Mean AMOC variability at 1000 m Depth 45°N 26.5°N Karspeck et al. (2016)

  7. Average Anomaly Correlation Coefficients for SST HDInit forecasts > the ‘no ‐ skill’ statistical reference forecast at the 90 % confidence level AND > the uninitialized run at a 90 % confidence Karspeck et al. (2015)

  8. SST Hindcasts and Skill HDInit and DAInit Gray dashed: no ‐ skill Solid black: HADISST Green dashed: LIM Gray: NoInit (20C) Gray ‐ green: Noinit Karspeck et al. (2015)

  9. Groups that have Contributed AMOC Reanalyses from 1960 – 2007 (or longer) NoAssim INSITU Atm DP GROUP METHOD ALT SST Control T/S forcing INIT? run? GECCO2 4DVAR YES YES YES YES [NCEP]* YES (U. Hamburg) ORAS4 NEMOVAR ERA ‐ YES YES YES YES YES (ECMWF) 3DVar 40/ERA ‐ I MOVE ‐ CORE CORE II 3DVar YES NO NO YES NO (MRI) IAF SODA (TAMU / OI YES NO YES YES 20 ‐ CR YES U.Maryland) Coupled DePreSys nudging to YES NO YES NO N/A YES (UKMET) OI product ECDA3.2 coupled YES INDIRECTLY YES NO YES (GFDL) EaKF [NCEP]* Karspeck et al. (2016)

  10. Groups that have Contributed AMOC Reanalyses from 1960 – 2007 (or longer) NoAssim INSITU Atm DP GROUP METHOD ALT SST Control T/S forcing INIT? run? GECCO2 ‐ REF 4DVAR YES YES YES YES NCEP YES (U. Hamburg) ORAS4 ‐ CNTRL NEMOVAR ERA ‐ YES YES YES YES YES (ECMWF) 3DVar 40/ERA ‐ I MRI ‐ CORE CORE II 3DVar YES NO NO YES NO (MRI) IAF SODA ‐ NOASSIM (TAMU / OI YES NO YES YES 20 ‐ CR YES U.Maryland) Four groups also contributed “No Assimilation” simulations to help understand the role of data constraints. Karspeck et al. (2016)

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