Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing

• Main Authors: Zika, Jan, Ferrari, Raffaele, Thompson, Andrew, Newsom, Emily, England, Matthew
• Format: Dataset
• Language: unknown
• Published: UNSW Sydney 2019
• Subjects: ocean heat transport; turbulent mixing; climate model simulation; 770305 Oceanic Processes excl. Climate Related; 040503 Physical Oceanography; 040403 Geophysical Fluid Dynamics; 960303 Climate Change Models; Pacific; Sea ice
• Online Access: https://dx.doi.org/10.26190/5dc23d4b7e739; https://repository.unsworks.unsw.edu.au/handle/1959.4/resource/collection/resdatac_957/1

This dataset contains post-processed output from 10 years of a MOM5-SIS 1/4-degree global ocean sea-ice model simulation forced by CORE-NYF forcing (MOM025 Control). MOM025 Control was initialized from the end of a similar 500 year simulation with no background vertical diffusivity (the κB = 0 case considered by Holmes et al. 2019 J. Phys. Oceanogr., 49 (1), 141-161, https://doi.org/10.1175/JPO-D-18-0098.1) and then run for an additional 111 years to equilibrate to the change in κB. This dataset contains Matlab .mat files of post-processed data from the last 10 years of output. This post-processed data includes all the data required to produce plots of ocean heat transport in temperature-latitude coordinates as used in Holmes et al. (2019) Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing, Geophysical Research Letters, https://dx.doi.org/10.1029/2019GL085160. Matlab processing routines used for analysis and plotting of the heat budget in latitude-temperature coordinates are available at https://github.com/rmholmes/MOM_diatherm_analysis/tree/2019GL085160 : The data included here was produced by binning the ocean's Eulerian heat budget into temperature coordinates online. More information on the methodology is contained in Holmes et al. (2019) Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing, Geophysical Research Letters, https://dx.doi.org/10.1029/2019GL085160, as well as at the attached GitHub repository where MatLab processing code is hosted. : https://github.com/rmholmes/MOM_diatherm_analysis/tree/2019GL085160