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Published August 8, 2023 | Version 1.0
Dataset Open

nextGEMS: Output of the WP6 ocean vertical mixing sensitivity runs (timeseries)

  • 1. Max Planck Institute for Meteorology, Hamburg, Germany
  • 2. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
  • 3. University of Copenhagen, Copenhagen, Denmark
  • 4. GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany

Description

In work package 6 of the nextGEMS project, several ocean-only model runs were performed with FESOM (Version 2.0) and ICON-O (Version 2.6.6), to test the sensitivity of the upper tropical Atlantic to different settings of the vertical mixing scheme. Two different mixing schemes were tested: TKE and KPP. For TKE, we tested different settings of the c_k parameter (0.1, 0.2 and 0.3), and for KPP different settings of the critical bulk Richardson number (0.3 and 0.27). These runs were done with both ICON-O and FESOM, to enable a comparison of the effects of the vertical mixing settings across different models. From ICON-O only, there are some additional TKE runs available, where we increased the interior ocean background mixing, and switched on the Langmuir turbulence parameterisation. There is also an ICON-O run which uses the FESOM default forcing bulk formulae, to check how much of the differences between the models originates from their different default bulk formulae.

All model runs are ocean only, forced with hourly ERA5 reanalysis data. The horizontal resolution is 10km (for FESOM, the extratropical regions have a coarser grid).

Here we provide high-frequency (3 hourly) time series of the model output, at selected locations in the tropical Atlantic where observational data are available for comparison in the simulated time range (2014 and 2015). We provide the following locations here:

  • 0N, 10W
  • 0N, 23W
  • 11.5N, 23W
  • 15N, 38W
  • 11N, 21.2W
  • 17.6N, 24.3W

Files

README.pdf

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Additional details

Related works

Is part of
Dataset: 10.26050/WDCC/nextGEMS_WP6oc (DOI)

Funding

NextGEMS – Next Generation Earth Modelling Systems 101003470
European Commission