U.S. Department of EnergyOffice of Scientific and Technical Information
Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach
Abstract
A coarse-graining framework is implemented to analyze nonlinear processes, measure energy transfer rates and map out the energy pathways from simulated global ocean data. Traditional tools to measure the energy cascade from turbulence theory, such as spectral flux or spectral transfer rely on the assumption of statistical homogeneity, or at least a large separation between the scales of motion and the scales of statistical inhomogeneity. The coarse-graining framework allows for probing the fully nonlinear dynamics simultaneously in scale and in space, and is not restricted by those assumptions. This study describes how the framework can be applied to ocean flows.
- Authors:
-
- Department of Mechanical Engineering, and, Laboratory for Laser Energetics, University of Rochester, Rochester, New York
- Computational Physics and Methods (CCS-2), Los Alamos National Laboratory, Los Alamos, New Mexico
- College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1418186
- Alternate Identifier(s):
- OSTI ID: 1411355
- Report Number(s):
- LA-UR-17-24117
Journal ID: ISSN 0022-3670
- Grant/Contract Number:
- SC0014318; NA0001944; 20150568ER; HiLAT project; AC52-06NA25396
- Resource Type:
- Journal Article: Published Article
- Journal Name:
- Journal of Physical Oceanography
- Additional Journal Information:
- Journal Name: Journal of Physical Oceanography Journal Volume: 48 Journal Issue: 2; Journal ID: ISSN 0022-3670
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; Earth Sciences
Citation Formats
Aluie, Hussein, Hecht, Matthew, and Vallis, Geoffrey K. Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach. United States: N. p., 2018.
Web. doi:10.1175/JPO-D-17-0100.1.
Aluie, Hussein, Hecht, Matthew, & Vallis, Geoffrey K. Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach. United States. https://doi.org/10.1175/JPO-D-17-0100.1
Aluie, Hussein, Hecht, Matthew, and Vallis, Geoffrey K. 2018.
"Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach". United States. https://doi.org/10.1175/JPO-D-17-0100.1.
@article{osti_1418186,
title = {Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach},
author = {Aluie, Hussein and Hecht, Matthew and Vallis, Geoffrey K.},
abstractNote = {A coarse-graining framework is implemented to analyze nonlinear processes, measure energy transfer rates and map out the energy pathways from simulated global ocean data. Traditional tools to measure the energy cascade from turbulence theory, such as spectral flux or spectral transfer rely on the assumption of statistical homogeneity, or at least a large separation between the scales of motion and the scales of statistical inhomogeneity. The coarse-graining framework allows for probing the fully nonlinear dynamics simultaneously in scale and in space, and is not restricted by those assumptions. This study describes how the framework can be applied to ocean flows.},
doi = {10.1175/JPO-D-17-0100.1},
url = {https://www.osti.gov/biblio/1418186},
journal = {Journal of Physical Oceanography},
issn = {0022-3670},
number = 2,
volume = 48,
place = {United States},
year = {Fri Jan 26 00:00:00 EST 2018},
month = {Fri Jan 26 00:00:00 EST 2018}
}
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Cited by: 56 works
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Works referenced in this record:
Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)
dataset, January 2018
- Fumihiko, Akazawa; Turki, Alraddadi; Pascual, Ananda
Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)
dataset, January 2018
- Fumihiko, Akazawa; Turki, Alraddadi; Pascual, Ananda
Works referencing / citing this record:
Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)
dataset, January 2018
- Fumihiko, Akazawa; Turki, Alraddadi; Pascual, Ananda
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Properties of conditionally filtered equations: Conservation, normal modes, and variational formulation
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- Thuburn, John; Vallis, Geoffrey K.
- Quarterly Journal of the Royal Meteorological Society, Vol. 144, Issue 714
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- Journal of Geophysical Research: Oceans, Vol. 123, Issue 5
The Multiscale Impacts of Organized Convection in Global 2-D Cloud-Resolving Models
journal, August 2018
- Brenowitz, N. D.; Majda, A. J.; Yang, Q.
- Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 8
Modulation of Lateral Transport by Submesoscale Flows and Inertia‐Gravity Waves
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- Sinha, Anirban; Balwada, Dhruv; Tarshish, Nathaniel
- Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 4
Diagnosing Subgrid Mesoscale Eddy Fluxes With and Without Topography
journal, December 2019
- Khani, Sina; Jansen, Malte F.; Adcroft, Alistair
- Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 12
The Contribution of Submesoscale over Mesoscale Eddy Iron Transport in the Open Southern Ocean
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- Uchida, Takaya; Balwada, Dhruv; Abernathey, Ryan
- Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 12