Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session L35: Geophysical Fluid Dynamics: General
4:05 PM–6:41 PM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B407
Chair: Alfredo Pinelli, City University London
Abstract ID: BAPS.2018.DFD.L35.12
Abstract: L35.00012 : Local Ensemble Transform Kalman Filtering Implemented on 2D and 3D Dynamo Flows*
6:28 PM–6:41 PM
Presenter:
Sarah C Burnett
(Univ of Maryland-College Park)
Authors:
Sarah C Burnett
(Univ of Maryland-College Park)
Nathanaël Schaeffer
(ISTerre, Université de Grenoble France)
Kayo Ide
(Univ of Maryland-College Park)
Daniel Perry Lathrop
(Univ of Maryland-College Park)
The behavior of the Earth's magnetic field and the influence of the core dynamics has been investigated in recent years through experiments and numerical models. At UMD, the geodynamo is replicated by experimental studies of the three-meter spherical Couette device filled with liquid sodium driven by two independently rotating concentric shells and an applied dipole magnetic field. These experiments incorporate high velocity flows to recreate the turbulence of convection-driven flows in the Earth. Collaborators at ISTerre have created the numerical code XSHELLS which features finite difference methods in the radial direction and pseudospectral spherical harmonic transforms for the angular directions. Highly turbulent flows are unfeasible to resolve in numerical models and in experiments full measurements can be intrusive. Our goal is to synchronize the outputs from the numerical code with the experimental magnetic boundary data to get an idea of the unknown velocity field. We present our preliminary studies of observation system simulation experiments using a kinematic 2D dynamo model and the full 3D model. This research provides an avenue for making predictive models of the Earth's magnetic field.
*We gratefully acknowledge the support of NSF Grant No. EAR1417148 & DGE132210
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.L35.12
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