FN Archimer Export Format
PT J
TI Geophysical flows under location uncertainty, Part III SQG and frontal dynamics under strong turbulence conditions
BT 
AF RESSEGUIER, Valentin
   MEMIN, E.
   CHAPRON, Bertrand
AS 1:1,2;2:1;3:2;
FF 1:PDG-ODE-LOPS-SIAM;2:;3:PDG-ODE-LOPS-SIAM;
C1 Irstea, Fluminance Grp, IRMAR, Inria, Rennes, France.
   IFREMER, LOPS, Plouzane, France.
C2 INRIA, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 1.417
TC 35
UR https://archimer.ifremer.fr/doc/00385/49600/51088.pdf
LA English
DT Article
DE ;Stochastic subgrid tensor;uncertainty quantification;upper ocean dynamics
AB Models under location uncertainty are derived assuming that a component of the velocity is uncorrelated in time. The material derivative is accordingly modified to include an advection correction, inhomogeneous and anisotropic diffusion terms and a multiplicative noise contribution. This change can be consistently applied to all fluid dynamics evolution laws. This paper continues to explore benefits of this framework and consequences of specific scaling assumptions. Starting from a Boussinesq model under location uncertainty, a model is developed to describe a mesoscale flow subject to a strong underlying submesoscale activity. Specifically, turbulent diffusion and rotation effects have similar orders of magnitude. As obtained, the geostrophic balance is modified and the Quasi-Geostrophic assumptions remarkably lead to a zero Potential Vorticity. The ensuing Surface Quasi-Geostrophic model provides a simple diagnosis of warm frontolysis and cold frontogenesis. 
PY 2017
SO Geophysical And Astrophysical Fluid Dynamics
SN 0309-1929
PU Taylor & Francis Ltd
VL 111
IS 3
UT 000401010100003
BP 209
EP 227
DI 10.1080/03091929.2017.1312102
ID 49600
ER

EF