About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

Stochastic flow modeling : Quasi-Geostrophy, Taylor state and torsional wave excitation

From

University of Grenoble1

Université Joseph Fourier - Grenoble 12

National Space Institute, Technical University of Denmark3

Geomagnetism, National Space Institute, Technical University of Denmark4

We reconstruct the core flow evolution over the period 1840-2010 under the quasi-geostrophic assumption, from the stochastic magnetic field model COV-OBS and its full model error covariance matrix. We make use of a prior information on the flow temporal power spectrum compatible with that of observed geomagnetic series.

We account for errors of representativeness (subgrid processes associated with the unresolved field at small length-scales) that are correlated in space and time, using an iterative scheme. An ensemble approach allows us to measure the uncertainties within the recovered motions. Large length-scales flow features are naturally dominated by their equatorially symmetric component from about 1900 when the symmetry constraint is relaxed.

Equipartition of the kinetic energy in both symmetries coincides with the poor prediction of decadal length-of-day changes in the XIXth century. We interpret this as an evidence for quasi-geostrophic rapid flow changes, and the consequence of a too loose data constraint during the oldest period. We manage to retrieve rapid flow changes over the past 60 yrs, and in particular modulated torsional waves predicting correctly interannual length-of day variations from 1950 onward.

We propose a triggering mechanism for these waves involving non-zonal motions in the framework of Taylor's state.

Language: English
Year: 2013
Proceedings: AGU Fall Meeting 2013
Types: Conference paper
ORCIDs: Finlay, Chris

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis