Multi-iteration approach to studying tracer spreading using drifter data
Author Posting. © American Meteorological Society, 2017. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 47 (2017): 339-351, doi:10.1175/JPO-D-16-0165.1. A...
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ftwhoas:oai:darchive.mblwhoilibrary.org:1912/8892 2023-05-15T17:29:21+02:00 Multi-iteration approach to studying tracer spreading using drifter data Rypina, Irina I. Fertitta, David Macdonald, Alison M. Yoshida, Sachiko Jayne, Steven R. 2017-01-31 https://hdl.handle.net/1912/8892 en_US eng American Meteorological Society https://doi.org/10.1175/JPO-D-16-0165.1 Journal of Physical Oceanography 47 (2017): 339-351 https://hdl.handle.net/1912/8892 doi:10.1175/JPO-D-16-0165.1 Journal of Physical Oceanography 47 (2017): 339-351 doi:10.1175/JPO-D-16-0165.1 Atlantic Ocean Mass fluxes/transport Ocean circulation Trajectories Statistics Article 2017 ftwhoas https://doi.org/10.1175/JPO-D-16-0165.1 2022-05-28T22:59:52Z Author Posting. © American Meteorological Society, 2017. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 47 (2017): 339-351, doi:10.1175/JPO-D-16-0165.1. A novel multi-iteration statistical method for studying tracer spreading using drifter data is introduced. The approach allows for the best use of the available drifter data by making use of a simple iterative procedure, which results in the statistically probable map showing the likelihood that a tracer released at some source location would visit different geographical regions, along with the associated arrival travel times. The technique is tested using real drifter data in the North Atlantic. Two examples are considered corresponding to sources in the western and eastern North Atlantic Ocean, that is, Massachusetts Bay–like and Irish Sea–like sources, respectively. In both examples, the method worked well in estimating the statistics of the tracer transport pathways and travel times throughout the entire North Atlantic. The role of eddies versus mean flow is quantified using the same technique, and eddies are shown to significantly broaden the spread of a tracer. The sensitivity of the results to the size of the source domain is investigated and causes for this sensitivity are discussed. This work was supported by the Grant OCE-1356630 from the National Science Foundation (NSF). Rypina also acknowledges NSF Grant OCE-1154641 and NASA Grant NNX14AH29G. 2017-07-31 Article in Journal/Newspaper North Atlantic Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Journal of Physical Oceanography 47 2 339 351 |
institution |
Open Polar |
collection |
Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
op_collection_id |
ftwhoas |
language |
English |
topic |
Atlantic Ocean Mass fluxes/transport Ocean circulation Trajectories Statistics |
spellingShingle |
Atlantic Ocean Mass fluxes/transport Ocean circulation Trajectories Statistics Rypina, Irina I. Fertitta, David Macdonald, Alison M. Yoshida, Sachiko Jayne, Steven R. Multi-iteration approach to studying tracer spreading using drifter data |
topic_facet |
Atlantic Ocean Mass fluxes/transport Ocean circulation Trajectories Statistics |
description |
Author Posting. © American Meteorological Society, 2017. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 47 (2017): 339-351, doi:10.1175/JPO-D-16-0165.1. A novel multi-iteration statistical method for studying tracer spreading using drifter data is introduced. The approach allows for the best use of the available drifter data by making use of a simple iterative procedure, which results in the statistically probable map showing the likelihood that a tracer released at some source location would visit different geographical regions, along with the associated arrival travel times. The technique is tested using real drifter data in the North Atlantic. Two examples are considered corresponding to sources in the western and eastern North Atlantic Ocean, that is, Massachusetts Bay–like and Irish Sea–like sources, respectively. In both examples, the method worked well in estimating the statistics of the tracer transport pathways and travel times throughout the entire North Atlantic. The role of eddies versus mean flow is quantified using the same technique, and eddies are shown to significantly broaden the spread of a tracer. The sensitivity of the results to the size of the source domain is investigated and causes for this sensitivity are discussed. This work was supported by the Grant OCE-1356630 from the National Science Foundation (NSF). Rypina also acknowledges NSF Grant OCE-1154641 and NASA Grant NNX14AH29G. 2017-07-31 |
format |
Article in Journal/Newspaper |
author |
Rypina, Irina I. Fertitta, David Macdonald, Alison M. Yoshida, Sachiko Jayne, Steven R. |
author_facet |
Rypina, Irina I. Fertitta, David Macdonald, Alison M. Yoshida, Sachiko Jayne, Steven R. |
author_sort |
Rypina, Irina I. |
title |
Multi-iteration approach to studying tracer spreading using drifter data |
title_short |
Multi-iteration approach to studying tracer spreading using drifter data |
title_full |
Multi-iteration approach to studying tracer spreading using drifter data |
title_fullStr |
Multi-iteration approach to studying tracer spreading using drifter data |
title_full_unstemmed |
Multi-iteration approach to studying tracer spreading using drifter data |
title_sort |
multi-iteration approach to studying tracer spreading using drifter data |
publisher |
American Meteorological Society |
publishDate |
2017 |
url |
https://hdl.handle.net/1912/8892 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Journal of Physical Oceanography 47 (2017): 339-351 doi:10.1175/JPO-D-16-0165.1 |
op_relation |
https://doi.org/10.1175/JPO-D-16-0165.1 Journal of Physical Oceanography 47 (2017): 339-351 https://hdl.handle.net/1912/8892 doi:10.1175/JPO-D-16-0165.1 |
op_doi |
https://doi.org/10.1175/JPO-D-16-0165.1 |
container_title |
Journal of Physical Oceanography |
container_volume |
47 |
container_issue |
2 |
container_start_page |
339 |
op_container_end_page |
351 |
_version_ |
1766123251055984640 |