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A Statistical Theory for the “Patchiness” of Open-Ocean Deep Convection: The Effect of Preconditioning

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  • 1 Courant Institute of Mathematical Sciences, New York University, New York, New York
  • | 2 Program in Atmospheres, Oceans and Climate, Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts
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Abstract

Within basins that exhibit open-ocean convection, convectively mixed fluid is often observed in regions of upward-doming isopycnal surfaces, preconditioned by either cyclonic circulation and/or bottom topography. Here, an equilibrium statistical theory for open-ocean convection, developed in the context of two-layer heton models, is adapted to study the outcome of basinwide cooling events over preexisting large-scale ambient flow. A range of prototype ambient flows is studied—including cyclonic and anticyclonic gyres, purely barotropic circulations, and topographically induced flow about a localized seamount and within a broad bowl-like depression. The critical element of these elementary ambient flows is the position of the fluid interface separating the upper and lower layers; it is displaced upward within the cyclonic gyre and the upwelling seamount, downward within the anticyclonic gyre and the bowl-like depression, and is flat for purely barotropic flow. The authors then consider the effect of applying cooling by introducing cold hetons over the preconditioned flow. The most probable postconvection state is found by maximizing the entropy contained in the coarse-grained vorticity field subject to key large-scale constraints. Consistent with observations, the most probable distribution of the cold-temperature anomalies, introduced by the convective overturning that follows a basin-scale surface cold-air outbreak, is indeed concentrated about the peaks of upwelling isopycnals. In contrast, ambient flows with isopycnal surfaces that slope downward fail to confine the cold-temperature anomalies as hetons tend to cluster along the edges and corners of the basin with much weaker displacements.

Corresponding author address: Dr. Andrew J. Majda, Courant Institution of Mathematical Sciences, New York University, 251 Mercer St., New York, NY 10012. Email: jonjon@cims.nyu.edu

Abstract

Within basins that exhibit open-ocean convection, convectively mixed fluid is often observed in regions of upward-doming isopycnal surfaces, preconditioned by either cyclonic circulation and/or bottom topography. Here, an equilibrium statistical theory for open-ocean convection, developed in the context of two-layer heton models, is adapted to study the outcome of basinwide cooling events over preexisting large-scale ambient flow. A range of prototype ambient flows is studied—including cyclonic and anticyclonic gyres, purely barotropic circulations, and topographically induced flow about a localized seamount and within a broad bowl-like depression. The critical element of these elementary ambient flows is the position of the fluid interface separating the upper and lower layers; it is displaced upward within the cyclonic gyre and the upwelling seamount, downward within the anticyclonic gyre and the bowl-like depression, and is flat for purely barotropic flow. The authors then consider the effect of applying cooling by introducing cold hetons over the preconditioned flow. The most probable postconvection state is found by maximizing the entropy contained in the coarse-grained vorticity field subject to key large-scale constraints. Consistent with observations, the most probable distribution of the cold-temperature anomalies, introduced by the convective overturning that follows a basin-scale surface cold-air outbreak, is indeed concentrated about the peaks of upwelling isopycnals. In contrast, ambient flows with isopycnal surfaces that slope downward fail to confine the cold-temperature anomalies as hetons tend to cluster along the edges and corners of the basin with much weaker displacements.

Corresponding author address: Dr. Andrew J. Majda, Courant Institution of Mathematical Sciences, New York University, 251 Mercer St., New York, NY 10012. Email: jonjon@cims.nyu.edu

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