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 ocean mixed layer depth is an important parameterdescribing the exchange of fluxes between the atmosphere and ocean. In oceanmodelling a key factor in the accurate representation of the mixed layer isthe parameterization of vertical mixing. An ideal opportunity to investigatethe impact of different mixing schemes was provided when the AustralianBureau of Meteorology upgraded its operational ocean forecasting model,OceanMAPS to version 3.0. In terms of the mixed layer, the main differencebetween the old and new model versions was a change of vertical mixingscheme from that of Chen et al. (1994) to the General Ocean Turbulence Model. The model estimates of the mixed layer depth were compared with thosederived from Argo observations. Both versions of the model exhibited a deepbias in tropical latitudes and a shallow bias in the Southern Ocean,consistent with previous studies. The bias, however, was greatly reduced inversion 3.0, and variance between model runs decreased. Additionally, modelskill against climatology also improved significantly. Further analysisdiscounted changes to model resolution outside of the Australian regionhaving a significant impact on these results, leaving the change in verticalmixing scheme as the main factor in the assessed improvements to mixed layerdepth representation.

Verification of the mixed layer depth in the OceanMAPS operational forecast model for Austral autumn