FN Archimer Export Format
PT J
TI Large-scale flows under location uncertainty: a consistent stochastic framework
BT 
AF CHAPRON, Bertrand
   DERIAN, P.
   MEMIN, E.
   RESSEGUIER, Valentin
AS 1:1;2:2;3:2;4:1,2;
FF 1:PDG-ODE-LOPS-SIAM;2:;3:;4:PDG-ODE-LOPS-SIAM;
C1 IFREMER, LOPS, Plouzane, France.
   INRIA, IRMAR, Campus Univ Beaulieu, Rennes, France.
C2 IFREMER, FRANCE
   INRIA, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 3.198
TC 29
UR https://archimer.ifremer.fr/doc/00429/54081/56227.pdf
LA English
DT Article
DE ;large-scale flow modelling;stochastic parametrization;modelling under location uncertainty;stochastic Lorenz model;stochastic transport
AB Using a classical example, the Lorenz-63 model, an original stochastic framework is applied to represent large-scale geophysical flow dynamics. Rigorously derived from a reformulated material derivative, the proposed framework encompasses several meaningful mechanisms to model geophysical flows. The slightly compressible set-up, as treated in the Boussinesq approximation, yields a stochastic transport equation for the density and other related thermodynamical variables. Coupled to the momentum equation through a forcing term, the resulting stochastic Lorenz-63 model is derived consistently. Based on such a reformulated model, the pertinence of this large-scale stochastic approach is demonstrated over classical eddy-viscosity based large-scale representations. 
PY 2018
PD JAN
SO Quarterly Journal Of The Royal Meteorological Society
SN 0035-9009
PU Wiley
VL 144
IS 710
UT 000425645200019
BP 251
EP 260
DI 10.1002/qj.3198
ID 54081
ER

EF