Statistical Parameterization of Heterogeneous Oceanic Convection

DSpace/Manakin Repository

Statistical Parameterization of Heterogeneous Oceanic Convection

Citable link to this page


Title: Statistical Parameterization of Heterogeneous Oceanic Convection
Author: Pasquero, Claudia; Tziperman, Eli

Note: Order does not necessarily reflect citation order of authors.

Citation: Pasquero, Claudia, and Eli Tziperman. 2007. Statistical parameterization of heterogeneous ocean convection. Journal of Physical Oceanography 37(2): 214-229.
Access Status: Full text of the requested work is not available in DASH at this time (“dark deposit”). For more information on dark deposits, see our FAQ.
Full Text & Related Files:
Abstract: A statistical convective adjustment scheme is proposed that attempts to account for the effects of mesoscale and submesoscale variability of temperature and salinity typically observed in the oceanic convective regions. Temperature and salinity in each model grid box are defined in terms of their mean, variance, and mutual correlations. Subgrid-scale instabilities lead to partial mixing between different layers in the water column. This allows for a smooth transition between the only two states (convection on and convection off) allowed in standard convective adjustment schemes. The advantage of the statistical parameterization is that possible instabilities associated with the sharp transition between the two states, which are known to occasionally affect the large-scale model solution, are eliminated. The procedure also predicts the generation of correlations between temperature and salinity and the presence of convectively induced upgradient fluxes that have been obtained in numerical simulations of heterogeneous convection and that cannot be represented by standard convective adjustment schemes.
Published Version:
Other Sources:
Citable link to this page:
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)


Search DASH

Advanced Search