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New diagnostic sea surface current fields to trace floating algae in the Yellow Sea.
Choi, Jang-Geun; Kim, Deoksu; Shin, Jisun; Jang, Seon-Woong; Lippmann, Thomas C; Jo, Young-Heon; Park, Jinku; Cho, Sung-Won.
Afiliación
  • Choi JG; Center for Ocean Engineering, University of New Hampshire, Durham, NH 03824, United States.
  • Kim D; Coastal Disaster and Safety Research Department, Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea; Department of Ocean Science, University of Science and Technology, Daejeon 34113, Republic of Korea.
  • Shin J; BK21 school of Earth and Environmental Systems, Pusan National University, Busan 46241, Republic of Korea.
  • Jang SW; IREMTECH. Co. Ltd., Busan 46079, Republic of Korea.
  • Lippmann TC; Center for Ocean Engineering, University of New Hampshire, Durham, NH 03824, United States; Department of Earth Science, University of New Hampshire, Durham, NH 03824, United States.
  • Jo YH; BK21 school of Earth and Environmental Systems, Pusan National University, Busan 46241, Republic of Korea; Department of Oceanography and Marine Research Institute, Pusan National University, Busan 46241, Republic of Korea. Electronic address: joyoung@pusan.ac.kr.
  • Park J; Center of Remote Sensing and GIS, Korea Polar Research Institute, Incheon 21990, Republic of Korea.
  • Cho SW; Department of Oceanography and Marine Research Institute, Pusan National University, Busan 46241, Republic of Korea.
Mar Pollut Bull ; 195: 115494, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37703632
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sargassum / Ulva / Chlorophyta Tipo de estudio: Diagnostic_studies País/Región como asunto: Asia Idioma: En Revista: Mar Pollut Bull Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sargassum / Ulva / Chlorophyta Tipo de estudio: Diagnostic_studies País/Región como asunto: Asia Idioma: En Revista: Mar Pollut Bull Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos