Published January 24, 2021 | Version v1.0.0

Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks.

  • 1. Research School of Earth Science and ARC Center of Excellence for Climate Extremes, Aus- tralian National University, Canberra, ACT, Australia
  • 2. Climate Change Research Centre and ARC Center of Excellence for Climate Extremes, Univer- sity of New South Wales, Sydney, NSW, Australia

Description

This dataset includes the post-processed data used for the paper titled "Mesoscale kinetic energy response to changing oceans". The original data was obtained from AVISO+ SSH altimetry and NOAA optimal interpolated sea surface temperature (OISST):

AVISO+ SSH: https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html

NOAA-OISST: https://www.ncdc.noaa.gov/oisst

From satellite observations of sea surface height (SSH) and sea surface temperature (SST) over the satellite record (1993 - 2019), EKE and SST gradients are derived. 

Then the fields are then temporally smoothed using a running average of 12 months.  Trends and the significance of each field are finally computed with linear regression and a modified Mann–Kendall test (https://github.com/josuemtzmo/xarrayMannKendall).

Geographical regions consist of the following ocean basins: the Southern Ocean, the Indian Ocean, the Pacific Ocean, and the Atlantic ocean. These ocean basins were expert-defined to capture ocean processes at all scales (ocean_basins_and_dynamical_masks.nc).

Dynamical regions (Fig. 5d): the Antarctic Circumpolar Current (ACC), the boundary currents and their extensions, the tropics, the subtropical ocean gyres, and the remaining regions (ocean_basins_and_dynamical_masks.nc).

Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/EKE_SST_trends

Notes

Refer to https://github.com/josuemtzmo/xarrayMannKendall and https://github.com/josuemtzmo/EKE_SST_trends for more information and reproducibility of analysis. This dataset goes together with the paper titled "Mesoscale kinetic energy response to changing oceans"

Files

Files (17.5 GB)

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