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).
The output from the tropical Atlantic from these model runs is provided here, with a high temporal resolution of 3 hours, and interpolated to a 0.1°x0.1° latitude-longitude grid.
Please read the readme before using the data: https://www.wdc-climate.de/ui/entry?acronym=nextGEMSWp6OceanREADME nextGEMS is funded through the European Union’s Horizon 2020 research and innovation program under the grant agreement number 101003470.
Bastin, Swantje; Koldunov, Aleksei; Haak, Helmuth; Koldunov, Nikolay; Danilov, Sergey; Jungclaus, Johann; Jochum, Markus; Mrozowska, Marta A.; Fischer, Tim; Dengler, Marcus; Brüggemann, Nils; Gutjahr, Oliver; Specht, Mia Sophie (2023). High frequency tropical Atlantic data from vertical mixing sensitivity runs with FESOM and ICON-O (nextGEMS WP6). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/nextGEMS_WP6oc
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2023-08-04
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
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[3] DOIScholz, Patrick; Sidorenko, Dmitry; Gurses, Ozgur; Danilov, Sergey; Koldunov, Nikolay; Wang, Qiang; Sein, Dmitry; Smolentseva, Margarita; Rakowsky, Natalja; Jung, Thomas. (2019). Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version. doi:10.5194/gmd-12-4875-2019
[4] DOIScholz, Patrick; Sidorenko, Dmitry; Danilov, Sergey; Wang, Qiang; Koldunov, Nikolay; Sein, Dmitry; Jung, Thomas. (2022). Assessment of the Finite-VolumE Sea ice–Ocean Model (FESOM2.0) – Part 2: Partial bottom cells, embedded sea ice and vertical mixing library CVMix. doi:10.5194/gmd-15-335-2022