Implementation of the LANS-alpha turbulence model in a primitive equation ocean model

This paper presents the first numerical implementation and tests of the Lagrangianaveraged Navier-Stokes-alpha (LANS-α) turbulence model in a primitive equation ocean model. The ocean model in which we work is the Los Alamos Parallel Ocean Program (POP); we refer to POP and our implementation of LAN...

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Bibliographic Details
Main Authors: C Mark R. Petersen A, Beth A. Wingate A
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2007
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.262.1726
http://arxiv.org/pdf/physics/0703195v1.pdf
Description
Summary:This paper presents the first numerical implementation and tests of the Lagrangianaveraged Navier-Stokes-alpha (LANS-α) turbulence model in a primitive equation ocean model. The ocean model in which we work is the Los Alamos Parallel Ocean Program (POP); we refer to POP and our implementation of LANS-α as POP-α. Two versions of POP-α are presented: the full POP-α algorithm is derived from the LANS-α primitive equations, but requires a nested iteration that makes it too slow for practical simulations; a reduced POP-α algorithm is proposed, which lacks the nested iteration and is two to three times faster than the full algorithm. The reduced algorithm does not follow from a formal derivation of the LANS-α model equations. Despite this, simulations of the reduced algorithm are nearly identical to the full algorithm, as judged by globally averaged temperature and kinetic energy, and snapshots of temperature and velocity fields. Both POP-α algorithms can run stably with longer timesteps than standard POP. Comparison of implementations of full and reduced POP-α algorithms are made within an idealized test problem that captures some aspects of the Antarctic Circumpolar