Dataset:
Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing
Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing
dc.coverage.spatial | Global | en_US |
dc.date.accessioned | 2021-11-26T10:47:28Z | |
dc.date.available | 2021-11-26T10:47:28Z | |
dc.date.issued | 2019 | en_US |
dc.description.abstract | 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 | en_US |
dc.identifier.uri | http://hdl.handle.net/1959.4/resource/collection/resdatac_957/1 | |
dc.language | English | |
dc.language.iso | EN | en_US |
dc.rights | CC-BY | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject.other | ocean heat transport | en_US |
dc.subject.other | turbulent mixing | en_US |
dc.subject.other | climate model simulation | en_US |
dc.subject.other | 770305 Oceanic Processes (excl. Climate Related) | en_US |
dc.title | Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing | en_US |
dc.type | Dataset | en_US |
dcterms.accessRights | open access | |
dcterms.accrualMethod | 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. | en_US |
dcterms.accrualMethod | https://github.com/rmholmes/MOM_diatherm_analysis/tree/2019GL085160 | |
dcterms.rightsHolder | Copyright 2019, University of New South Wales | en_US |
dspace.entity.type | Dataset | en_US |
unsw.accessRights.uri | https://purl.org/coar/access_right/c_abf2 | |
unsw.contributor.leadChiefInvestigator | Holmes, Ryan | en_US |
unsw.contributor.researchDataCreator | Zika, Jan | en_US |
unsw.contributor.researchDataCreator | Ferrari, Raffaele | en_US |
unsw.contributor.researchDataCreator | Thompson, Andrew | en_US |
unsw.contributor.researchDataCreator | Newsom, Emily | en_US |
unsw.contributor.researchDataCreator | England, Matthew | en_US |
unsw.description.storageplace | UNSW Data Archive | en_US |
unsw.identifier.doi | https://doi.org/10.26190/5dc23d4b7e739 | en_US |
unsw.isPublicationRelatedToDataset | https://doi.org/10.1029/2019GL085160 | en_US |
unsw.relation.OriginalPublicationAffiliation | Holmes, Ryan, Biological| Earth & Env Sci, Faculty of Science, | en_US |
unsw.relation.OriginalPublicationAffiliation | Zika, Jan, Sch of Mathematics & Statistic, Faculty of Science, | en_US |
unsw.relation.OriginalPublicationAffiliation | Ferrari, Raffaele, , Massachusetts Institute of Technology, | en_US |
unsw.relation.OriginalPublicationAffiliation | Thompson, Andrew, , California Institute of Technology, | en_US |
unsw.relation.OriginalPublicationAffiliation | Newsom, Emily, , University of Oxford, | en_US |
unsw.relation.OriginalPublicationAffiliation | England, Matthew, Biological| Earth & Env Sci, Faculty of Science, | en_US |
unsw.relation.faculty | Science | |
unsw.relation.fundingAgency | AUSTRALIAN RESEARCH COUNCIL | en_US |
unsw.relation.fundingScheme | ARC Centre of Excellence for Climate Extremes | en_US |
unsw.relation.projectDesc | This project develops a new, novel set of diagnostics of ocean heat transport in temperature coordinates that isolates and quantifies the role of diabatic processes, such as turbulent mixing and air-sea heat exchange, in the global ocean's heat transport. The diagnostics are applied to a global MOM-SIS 1/4-degree ocean sea-ice model simulation with climatological repeating atmospheric forcing from CORE-NYF. Results suggest that the northward heat transport in the Atlantic is ultimately sourced from heat uptake in the tropical Indo-Pacific basin. Turbulent mixing plays a key role in moving this heat from the warm temperatures at which it enters the ocean in the eastern Pacific cold tongue to the cold temperatures at which heat leaves the ocean in the North Atlantic. | en_US |
unsw.relation.projectEndDate | 2019-10-31 | en_US |
unsw.relation.projectStartDate | 2019-01-01 | en_US |
unsw.relation.projectTitle | Atlantic ocean heat transport enabled by Indo-Pacific heat uptake and mixing | en_US |
unsw.relation.school | School of Mathematics & Statistics | |
unsw.subject.SEOcode | 960303 Climate Change Models | en_US |
unsw.subject.fieldofresearchcode | 040503 Physical Oceanography | en_US |
unsw.subject.fieldofresearchcode | 040403 Geophysical Fluid Dynamics | en_US |
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