Published

Spiralling Inverse Method: A new inverse method to estimate ocean mixing - Data Version 1

Niek Kusters (Royal Netherlands Institute for Sea Research) Royal Netherlands Institute for Sea Research https://doi.org/10.25850/nioz/7b.b.gh

Here we introduce the Spiralling Inverse Method (SIM) that provides estimates of the small-scale and mesoscale mixing strength. The SIM uses a vertical integral over a balance between the watermass transformation equation and the thermal wind equation. The result is an equation where all terms, except for the mixing strengths, can be obtained from hydrographic data of temperature and salinity. As an advantage, the SIM estimates the mixing strengths without the need of further knowledge of a reference velocity or streamfunction. Here we apply the SIM to a small region in the North Atlantic. We find that the estimates obtained by the SIM compare well to observations and other (inverse) estimates of the mixing strength. The SIM therefore has potential to improve and constrain parameterizations used for climate and ecosystem modelling using readily available hydrographic data.

This dataset contains the final results as published in the accompanying article.

Data and Resources

Additional Info

Field Value
Subject Earth and Environmental Sciences
DAS Code 7b.b.gh
Source https://doi.org/10.25850/nioz/7b.b.gh
Version 1
Creator(s)
Kusters, Niek (Royal Netherlands Institute for Sea Research)
ORCID
Contact the corresponding author

Groeskamp, Sjoerd (Royal Netherlands Institute for Sea Research)
ORCID

McDougall, Trevor J. (University of New South Wales, Sydney, Australia)
Depositor Niek Kusters (niek.kusters@nioz.nl)
Publication Date 2024-11-07T09:50:32.5573986
Deposit Date 2024-05-16
Dataset Persistent Identifier DOI:10.25850/nioz/7b.b.gh
Alternate identifier
Related identifier 10.1175/JPO-D-24-0009.1
Contributor Royal Netherlands Institute for Sea Research (NIOZ)
Distributor Research Data Management(NIOZ Royal Netherlands Institute for Sea Research)
Distribution Date 2024-05-16
Production Date 2024-11-07
Dates
Funding References
NWO (OCENW.M20.196)
Measuring the immeasurable: mapping of ocean mixing

Utrecht University and NIOZ collaboration fund (2020.3)
The intermittency of large-scale ocean mixing

Australian Research Council (FL150100090)
Geographic Coverage
Study area
North Bound: -27
South Bound: 29
West Bound: -38
East Bound: 21