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Climate Stability and Instability: Transition from Flywheel to Driver? Jochem Marotzke School of Ocean and Earth Science Southampton Oceanography Centre Southampton, SO14 3ZH United Kingdom. NOAA Global SST Analysis, 4 - 9 November 2002.
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Climate Stability and Instability: Transition from Flywheel to Driver?Jochem MarotzkeSchool of Ocean and Earth ScienceSouthampton Oceanography Centre Southampton, SO14 3ZHUnited Kingdom
North Atlantic warmer than North Pacific NADW formation not a simple forced response to stronger cooling by atmosphere: If it were, NA should be colder than NP. • Ocean circulation active in setting fundamental properties • High North Atlantic sea surface salinity (SSS) crucial for NADW formation • Ocean circulation can, in principle, maintain NA SSS greater than NP SSS without bias in forcing such as Atlantic-to-Pacific atmospheric water vapour transport (Marotzke & Willebrand, 1991). • True in reality? - “without bias in forcing”? Coupled GCMs give equivocal answers (e.g., Manabe & Stouffer, 1999).
Is there another circulation mode that the MOC could attain?
Is there another circulation mode that the MOC could attain? • Could transitions to another mode be abrupt?
Is there another circulation mode that the MOC could attain? • Could transitions to another mode be abrupt? • Would an MOC transition be a passive response to external forcing, or be self-driven, possibly following a trigger? Flywheel or Driver? • Discuss intricacies using the example of ocean mixing • Conceptual, mostly steady-state; illustrated w/ simple GCMs • Confirmation requires continuous MOC observations • How can this be done?
Mixing in Stratified Waters (I): • Sandström (1908, 1916; see Colin de Verdière 1993): Heating below cooling is required so that fluid can act as a heat engine (buoyancy-driven flow exists) • Jeffreys (1926): Expansionbelowcontraction is crucial, which is possible in presence of mixing even if heating & cooling occur at the same pressure • Munk (1966): Mixing heats upwelling deepwater • Weyl (1968): Mixing converts turbulent kinetic energy into potential energy, which is needed to drive flow • Munk and Wunsch (1998): Energy for mixing derives significantly both from tides and from wind
Mixing in Stratified Waters (II): • GCMs with fixed diffusivity: MOC increases with density gradient (e.g., Scott, thesis 2000) • With fixed amount of energy available for mixing, MOC might decrease with density gradient (Walin 1990, Lyle 1997, Huang 1998, Nilsson & Walin 2001, Oliver, thesis in prep.) • Series of GCM experiments: Nilsson & Walin (submitted): Mixing and MOC: Flywheel or Driver - Meaningless question?
Expect mixing to matter mainly over very long timescales • Time-dependent situations? • Kevin Oliver (UEA, thesis in prep.): Considers transient behaviour in isopycnic box model with energy-dependent mixing (Nilsson & Walin, 2001)
FF increased from 0.3 to 0.4 Sv FF decreased from 0.4 to 0.3 Sv Oliver (Thesis, UEA, inprep.)
Wang et al. 1999, idealised global model: “NADW” collapses under doubling of FW forcing within 1000 years • NB: Collapse timescale unpredictable within factor 2 • BUT: • Steady-state: NADW increases with FW forcing • NADW consistent with Rooth (1982) box model • Total nearly constant
Convective mixing & sinking are different processes: • Mauritzen (1996): DSOW derives from gradually sinking Atlantic Water, not convection in central Greenland Sea gyre • Marotzke & Scott (1999): Sinking possible without convective mixing; sinking expected near boundaries • Spall & Pickart (2001): Convective mixing & sinking co-located near sloping topography
If convective mixing is unimportant, why do we pay so much attention to its fate in the North Atlantic?
Schmitt et al., 1989 If high-latitude salinity is so important in the North Atlantic, why is the freshwater part of the surface buoyancy flux so small?
Blue: Ocean heat loss Red: Ocean water gain Red: Ocean density gain Large & Nurser, 2001
Pole-to-equator (and top-to-bottom) density contrast is dominated by temperature: The pycnocline is a thermocline
Pole-to-equator (and top-to-bottom) density contrast is dominated by temperature: The pycnocline is a thermocline • Water is dense because it is cold (from high latitudes) • Which high latitudes ventilate deep ocean depends on SSS • Density contrasts between high latitudes (competing DW formation sites) much smaller than between pole & equator • Cross-equatorial coupling between high latitudes crucial • Cooling dominates buoyancy flux in DW formation region • Interhemispheric (& interocean?) dynamics central
Tziperman 1997 Wang et al. 1999 Klinger & Marotzke 1999
Diapycnal mixing works on overall density contrast • Controls global rate of upwelling deepwater • Efficiency of convective mixing unimportant for global rate • Distribution overcompeting high latitudes depends on surface density, hence SSS • High latitudes with deepest convective mixing dominate (Needs to be qualified: Topography, overflows etc.) • Convective mixing determines dominant high latitudes but not global deepwater formation rate • Interhemispheric (& interocean?) dynamics central
Summary Part I: Mixing and MOC: Flywheel or Driver - Meaningless question? Oceanic and atmospheric processes linked inextricably • Convective mixing determines dominant high latitudes but not global deepwater formation rate • Cooling dominates buoyancy flux in DW formation region • Interhemispheric (& interocean?) dynamics central • Timescales critical in dependence on mixing and FW forcing
Confirmation (of hypotheses of what controls MOC and its variability) requires continuous MOC observations as a starting point • How can this be done?
26.5°N MOC Monitoring Proposal • PIs: Jochem Marotzke, Stuart Cunningham, Harry Bryden (SOC) • Submitted to NERC RAPID Programme (which is funded with £20M over 6 years) • Requested: £4.7M over 5 years • Would support 2 Post-docs, 1 Research Assistant, 1 Ph.D. Student • Funding decision expected 25/26 November
Why 26.5°N? • Near Atlantic heat transport maximum - captures total heat transport convergence into North Atlantic • South of area of intense heat loss ocean atmosphere over Gulf Stream extension • MOC dominates heat transport at 26.5°N • Heat transport variability dominated by velocity fluctuations (Jayne & Marotzke, 2001) • Florida Strait transport monitored for >20 years (now: Johns, Baringer & Beal, Miami, collaborators) • 4 modern hydrographic occupations
Approach: Integrated thermal wind(geostrophy) • Ekman contribution to MOC included • Surface layer Ekman transport assumed to return independent of depth
Model-based experiment design: • Funded through NERC prior to conception of RAPID • Joël Hirschi (post-doc), Johanna Baehr (M.Sc. student) • “Deploy” antenna in high-resolution models, OCCAM (1/4°; SOC, Webb et al.; Hirschi), FLAME (1/3°; IfM Kiel, Böning et al.; Baehr ) • See Hirschi et al. poster
Blue: Covered Red: MOC Blue: Recon-struction
Red: MOC Blue: Reconstruction OCCAM FLAME Black: OCCAM Heat TransportGreen: Reconstruction
Red: MOC Blue: Reconstruction Cyan: 300 realisations with random error (1 Sv Florida Strait; 0.01 kgm-3) OCCAM
Blue: Reconstruction Cyan: Thermal Wind Green: Ekman OCCAM FLAME
Transition from Flywheel to Driver: 1. What have we learned during the WOCE period? • MOC could reorganise • Importance of mixing in MOC dynamics • Dynamics of convection • Nature and location of mixing matter but are unknown (interior & boundary mixing; base of SO mixed layer; energetics)
Transition from Flywheel to Driver: 2. What specifically was the WOCE contribution? • Hydrographic sections gave accurate global estimate of MOC • DBE visualised inhomogeneity of mixing • Deep Indian Ocean MOC: Well studied in WOCE projects (despite lack of WOCE 32S section); considerable deep mixing required to balance inflow.
Transition from Flywheel to Driver: 3. What is required in the future (I)? • Continuous observations of the MOC at selected latitudes • Continuous observations of MOC drivers (heat & FW budgets of convection areas) • Estimates of global distribution of mixing
Transition from Flywheel to Driver: 3. What is required in the future (II)? • Model-based experiment design for climate time series: Rational resource allocation • Ocean (and coupled) models that represent coupled nature of mixing • Improved (or development of) conceptual understanding of interaction between high latitudes (within and across oceans)