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New diagnostic sea surface current fields to trace floating algae in the Yellow Sea.

Authors :
Choi JG
Kim D
Shin J
Jang SW
Lippmann TC
Jo YH
Park J
Cho SW
Source :
Marine pollution bulletin [Mar Pollut Bull] 2023 Oct; Vol. 195, pp. 115494. Date of Electronic Publication: 2023 Sep 12.
Publication Year :
2023

Abstract

The new velocity fields based on the Generalized Ekman (GE) theory to trace floating algae were derived and verified by drifter observations and compared to reanalysis datasets in the Yellow Sea (YS). Two velocity fields using diagnostic approaches and two velocity fields from reanalysis datasets were examined. The results revealed that the diagnostic velocity fields had comparable accuracy to the reanalysis datasets, even locally better. Then, we applied each velocity field to trace green algae, Ulva prolifera, in July 2011 and brown algae, Sargassum horneri, in May 2017 using particle tracking experiments. In addition, drifter trajectories were simulated, and error accumulation speed was estimated for each velocity field. Simulation results using the diagnostic velocity fields consistently showed better agreement with satellite images and in situ observations than those using reanalysis datasets, demonstrating that the diagnostic velocity could be a superior tool for simulating surface-floating substances and organisms. The approach to derive diagnostic velocity fields can be easily applied instead of relying on heavy computing numerical models.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-3363
Volume :
195
Database :
MEDLINE
Journal :
Marine pollution bulletin
Publication Type :
Academic Journal
Accession number :
37703632
Full Text :
https://doi.org/10.1016/j.marpolbul.2023.115494