Multi-iteration approach to studying tracer spreading using drifter data
Rypina, Irina I.
Macdonald, Alison M.
Jayne, Steven R.
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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.
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.
Suggested CitationArticle: Rypina, Irina I., Fertitta, David, Macdonald, Alison M., Yoshida, Sachiko, Jayne, Steven R., "Multi-iteration approach to studying tracer spreading using drifter data", Journal of Physical Oceanography 47 (2017): 339-351, DOI:10.1175/JPO-D-16-0165.1, https://hdl.handle.net/1912/8892
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