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Estimating the travel time and the most likely path from Lagrangian drifters

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Estimating the travel time and the most likely path from Lagrangian drifters. / O'Malley, Michael; Sykulski, Adam; Laso-Jadart, Romuald; Madoui, Mohammed-Amin.

In: Journal of Atmospheric and Oceanic Technology, Vol. 38, No. 5, 01.05.2021, p. 1059-1073.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

O'Malley, M, Sykulski, A, Laso-Jadart, R & Madoui, M-A 2021, 'Estimating the travel time and the most likely path from Lagrangian drifters', Journal of Atmospheric and Oceanic Technology, vol. 38, no. 5, pp. 1059-1073. https://doi.org/10.1175/JTECH-D-20-0134.1

APA

O'Malley, M., Sykulski, A., Laso-Jadart, R., & Madoui, M-A. (2021). Estimating the travel time and the most likely path from Lagrangian drifters. Journal of Atmospheric and Oceanic Technology, 38(5), 1059-1073. https://doi.org/10.1175/JTECH-D-20-0134.1

Vancouver

O'Malley M, Sykulski A, Laso-Jadart R, Madoui M-A. Estimating the travel time and the most likely path from Lagrangian drifters. Journal of Atmospheric and Oceanic Technology. 2021 May 1;38(5):1059-1073. https://doi.org/10.1175/JTECH-D-20-0134.1

Author

O'Malley, Michael ; Sykulski, Adam ; Laso-Jadart, Romuald ; Madoui, Mohammed-Amin. / Estimating the travel time and the most likely path from Lagrangian drifters. In: Journal of Atmospheric and Oceanic Technology. 2021 ; Vol. 38, No. 5. pp. 1059-1073.

Bibtex

@article{d62d603e0c0741b7ab9860901b2909fe,
title = "Estimating the travel time and the most likely path from Lagrangian drifters",
abstract = "We provide a novel methodology for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean. We also provide an estimate of the travel time associated with this path. Lagrangian pathways and travel times are of practical value not just in understanding surface velocities, but also in modelling the transport of ocean-borne species such as planktonic organisms, and floating debris such as plastics. In particular, the estimated travel time can be used to compute an estimated Lagrangian distance, which is often more informative than Euclidean distance in understanding connectivity between locations. Our methodology is purely data-driven, and requires no simulations of drifter trajectories, in contrast to existing approaches. Our method scales globally and can simultaneously handle multiple locations in the ocean. Furthermore, we provide estimates of the error and uncertainty associated with both the most likely path and the associated travel time.",
keywords = "Ocean, Lagrangian circulation/transport, Transport, Optimization, Statistical techniques",
author = "Michael O'Malley and Adam Sykulski and Romuald Laso-Jadart and Mohammed-Amin Madoui",
year = "2021",
month = may,
day = "1",
doi = "10.1175/JTECH-D-20-0134.1",
language = "English",
volume = "38",
pages = "1059--1073",
journal = "Journal of Atmospheric and Oceanic Technology",
issn = "0739-0572",
publisher = "American Meteorological Society",
number = "5",

}

RIS

TY - JOUR

T1 - Estimating the travel time and the most likely path from Lagrangian drifters

AU - O'Malley, Michael

AU - Sykulski, Adam

AU - Laso-Jadart, Romuald

AU - Madoui, Mohammed-Amin

PY - 2021/5/1

Y1 - 2021/5/1

N2 - We provide a novel methodology for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean. We also provide an estimate of the travel time associated with this path. Lagrangian pathways and travel times are of practical value not just in understanding surface velocities, but also in modelling the transport of ocean-borne species such as planktonic organisms, and floating debris such as plastics. In particular, the estimated travel time can be used to compute an estimated Lagrangian distance, which is often more informative than Euclidean distance in understanding connectivity between locations. Our methodology is purely data-driven, and requires no simulations of drifter trajectories, in contrast to existing approaches. Our method scales globally and can simultaneously handle multiple locations in the ocean. Furthermore, we provide estimates of the error and uncertainty associated with both the most likely path and the associated travel time.

AB - We provide a novel methodology for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean. We also provide an estimate of the travel time associated with this path. Lagrangian pathways and travel times are of practical value not just in understanding surface velocities, but also in modelling the transport of ocean-borne species such as planktonic organisms, and floating debris such as plastics. In particular, the estimated travel time can be used to compute an estimated Lagrangian distance, which is often more informative than Euclidean distance in understanding connectivity between locations. Our methodology is purely data-driven, and requires no simulations of drifter trajectories, in contrast to existing approaches. Our method scales globally and can simultaneously handle multiple locations in the ocean. Furthermore, we provide estimates of the error and uncertainty associated with both the most likely path and the associated travel time.

KW - Ocean

KW - Lagrangian circulation/transport

KW - Transport

KW - Optimization

KW - Statistical techniques

U2 - 10.1175/JTECH-D-20-0134.1

DO - 10.1175/JTECH-D-20-0134.1

M3 - Journal article

VL - 38

SP - 1059

EP - 1073

JO - Journal of Atmospheric and Oceanic Technology

JF - Journal of Atmospheric and Oceanic Technology

SN - 0739-0572

IS - 5

ER -