English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The problem of estimating the eddy diffusivity from Lagrangian observationsin the presence of measurement error is studied in this paper. We consider aclass of incompressible velocity fields for which is can be rigorously provedthat the small scale dynamics can be parameterised in terms of an eddydiffusivity tensor. We show, by means of analysis and numerical experiments,that subsampling of the data is necessary for the accurate estimation of theeddy diffusivity. The optimal sampling rate depends on the detailed propertiesof the velocity field. Furthermore, we show that averaging over the data onlymarginally reduces the bias of the estimator due to the multiscale structure ofthe problem, but that it does significantly reduce the effect of observationerror.

Estimating eddy diffusivities from noisy Lagrangian observations