Modelling the mass exchange dynamics of oceanic surface and subsurface oil

Jorge Ramírez, Saeed Moghimi, Juan M. Restrepo, Shankar Venkataramani

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We propose a time dependent Eulerian model for sea surface entrainment, buoyancy transport and droplet dynamics of ocean oil. The model captures the microscale vertical oil mass exchanges in the neighborhood of the sea surface. This model is in turn part of an oil fate model designed to capture oil dynamics at large spatio-temporal scales typical of environmental studies. The adiabatic dynamics of the droplets are upscaled by a combination of filtering and stochastic parametrization. The upscaling addresses the computational burden of resolving the microscale. The upscaled droplet dynamics are tested against data and the mass exchange mechanism is incorporated into a nearshore oil transport model in order to highlight the importance of incorporating vertical mass exchanges and droplet distribution dynamics in predicting the distributing of shoaling oil.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalOcean Modelling
Volume129
DOIs
StatePublished - Sep 2018
Externally publishedYes

Funding

This work was supported by GoMRI and by NSF DMS grants 1524241, 1434198 and 1109856. JMR also acknowledges the hospitality of Stockholm University, where some of this work was done, and the support provided by a Stockholm University Rossby Fellowship. JMR also thanks the Kavli Institute of Theoretical Physics, at the University of California, Santa Barbara where some of this research was done. The KITP is supported in part by the National Science Foundation under Grant No. NSF PHY-1748958. SV acknowledges the support from the Simons Foundation through a collaboration grant award 524875. This work was supported by GoMRI and by NSF DMS grants 1524241, 1434198 and 1109856. JMR also acknowledges the hospitality of Stockholm University, where some of this work was done, and the support provided by a Stockholm University Rossby Fellowship. JMR also thanks the Kavli Institute of Theoretical Physics, at the University of California, Santa Barbara where some of this research was done. The KITP is supported in part by the National Science Foundation under Grant No. NSF PHY-1748958 . SV acknowledges the support from the Simons Foundation through a collaboration grant award 524875 .

FundersFunder number
NSF DMS1524241, 1434198
National Science FoundationNSF PHY-1748958, 1109856
Simons Foundation524875
Gulf of Mexico Research Initiative
Stockholms Universitet

    Keywords

    • Ocean oil transport
    • Ocean pollution
    • Oil entrainment
    • Oil fate model
    • Oil spill

    Fingerprint

    Dive into the research topics of 'Modelling the mass exchange dynamics of oceanic surface and subsurface oil'. Together they form a unique fingerprint.

    Cite this