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Title: CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures

Abstract

Matlab code to compute climatological Lagrangian Coherent Structures. Climatological Lagrangian Coherent Structures have been shown to be effective in identifying regions that persistently attract or isolate trajectories at the sea surface, while also identifying recurrent transport patterns and transport barriers. It is therefore known as the Climatological Isolation and Attraction Model within NETL DoE. This repository also includes the information necessary to replicate the cCLS published in the paper which is freely available at https://www.nature.com/articles/s41598-018-23121-y . The method is developed in: Duran, R., F. J. Beron-Vera, M. J. Olascoaga (2018). Extracting quasi-steady Lagrangian transport patterns from the ocean circulation: An application to the Gulf of Mexico. Scientific Reports, 8(1), 5218. https://www.nature.com/articles/s41598-018- 23121-y The method is successfully evaluated with a large satellite-tracked drifter dataset, and with a different ocean model in: Gough M.K., F. J. Beron-Vera, M. J. Olascoaga, J. Sheinbaum, J. Jouenno, R. Duran (2019). Persistent Lagrangian transport patterns in the northwestern Gulf of Mexico. J. Phys. Oceanogr., 49, 353–367, https://doi.org/10.1175/JPO-D-17-0207.1

Authors:
; ;
Publication Date:
Other Number(s):
0ac5883e-237e-480f-b85f-b5bf946e2d09
DOE Contract Number:  
DEFE1022409
Product Type:
Dataset
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
CIAM; cLCS; LCS; oil spill; planning and response; recurrent trajectories; dynamical systems; sea surface; ocean transport; Lagrangian transport; oil transport; ocean
OSTI Identifier:
1558781
DOI:
https://doi.org/10.18141/1558781

Citation Formats

Duran, R, Beron-Vera, F J, and Olascoaga, M J. CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures. United States: N. p., 2019. Web. doi:10.18141/1558781.
Duran, R, Beron-Vera, F J, & Olascoaga, M J. CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures. United States. doi:https://doi.org/10.18141/1558781
Duran, R, Beron-Vera, F J, and Olascoaga, M J. 2019. "CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures". United States. doi:https://doi.org/10.18141/1558781. https://www.osti.gov/servlets/purl/1558781. Pub date:Tue Aug 27 00:00:00 EDT 2019
@article{osti_1558781,
title = {CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures},
author = {Duran, R and Beron-Vera, F J and Olascoaga, M J},
abstractNote = {Matlab code to compute climatological Lagrangian Coherent Structures. Climatological Lagrangian Coherent Structures have been shown to be effective in identifying regions that persistently attract or isolate trajectories at the sea surface, while also identifying recurrent transport patterns and transport barriers. It is therefore known as the Climatological Isolation and Attraction Model within NETL DoE. This repository also includes the information necessary to replicate the cCLS published in the paper which is freely available at https://www.nature.com/articles/s41598-018-23121-y . The method is developed in: Duran, R., F. J. Beron-Vera, M. J. Olascoaga (2018). Extracting quasi-steady Lagrangian transport patterns from the ocean circulation: An application to the Gulf of Mexico. Scientific Reports, 8(1), 5218. https://www.nature.com/articles/s41598-018- 23121-y The method is successfully evaluated with a large satellite-tracked drifter dataset, and with a different ocean model in: Gough M.K., F. J. Beron-Vera, M. J. Olascoaga, J. Sheinbaum, J. Jouenno, R. Duran (2019). Persistent Lagrangian transport patterns in the northwestern Gulf of Mexico. J. Phys. Oceanogr., 49, 353–367, https://doi.org/10.1175/JPO-D-17-0207.1},
doi = {10.18141/1558781},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}