Breivik, Ø, Allen, AA, Maisondieu, C & Roth, JC 2011. Wind-induced drift of objects at sea: the leeway field method. Appl Ocean Res. 33:100–109.
Brooks, MT, Coles, VJ, Hood, RR & Gower, JFR 2018. Factors controlling the seasonal distribution of pelagic
Sargassum.
. Mar Ecol Prog Ser. 599:1–18.
Chassignet, EP, Smith, LT, Halliwell, GR & Bleck, R 2003. North Atlantic simulation with the Hybrid Coordinate Ocean Model (HYCOM): impact of the vertical coordinate choice, reference pressure, and thermobaricity. J Phys Oceanogr. 33:2504–2526.
Cho, S-H., Myoung, J-G., Kim, J-M. & Lee, JH 2001. Fish fauna associated with drifting seaweed in the coastal area of Tongyeong, Korea. Trans Am Fish Soc. 130:1190–1202.
Choi, J-G., Jo, Y-H., Moon, I-J., Park, J, Kim, D-W. & Lippmann, TC 2018. Physical forces determine the annual bloom intensity of the giant jellyfish
Nemopilema nomurai off the coast of Korea. Reg Stud Mar Sci. 24:55–65.
Clarkin, E, Maggs, CA, Allcock, AL & Johnson, M 2012. Environment, not characteristics of individual algal rafts, affects composition of rafting invertebrate assemblages in Irish coastal waters. Mar Ecol Prog Ser. 470:31–40.
Dippner, JW 2005. Mathematical modelling of the transport of pollution in the water. In : Filar JA, editor Encyclopedia of Life Support System (EOLSS) developed under the auspices of the UNESCO. EOLSS Publisher, Oxford.
Durski, SM, Glenn, SM & Haidvogel, DB 2004. Vertical mixing schemes in the coastal ocean: comparison of the level 2.5 Mellor–Yamada scheme with an enhanced version of the K profile parameterization. J Geophys Res. 109:C01015 pp.
Egbert, GD & Erofeeva, SY 2002. Efficient inverse modeling of barotropic ocean tides. J Atmos Ocean Technol. 19:183–204.
Evensen, G 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res. 99:10143–10162.
Fairall, CW, Bradley, EF, Hare, JE, Grachev, AA & Edson, JB 2003. Bulk parameterization of air-sea fluxes: updates and verification for the COARE algorithm. J Clim. 16:571–591.
Filippi, J, Komatsu, T & Tanaka, K 2010. Simulation of drifting seaweeds in East China Sea. Ecol Inform. 5:67–72.
Haidvogel, DB, Arango, HG, Hedstrom, K, Beckmann, A, Malanotte-Rizzoli, P & Shchepetkin, AF 2000. Model evaluation experiments in the North Atlantic Basin: simulations in nonlinear terrain-following coordinates. Dyn Atmos Oceans. 32:239–281.
Hu, C, Feng, L, Hardy, RF & Hochberg, EJ 2015. Spectral and spatial requirements of remote measurements of pelagic
Sargassum macroalgae. Remote Sens Environ. 167:229–246.
Ingólfsson, A 1995. Floating clumps of seaweed around Iceland: natural microcosms and a means of dispersal for shore fauna. Mar Biol. 122:13–21.
Johnson, DL & Richardson, PL 1977. On the wind-induced sinking of
Sargassum
. J Exp Mar Biol Ecol. 28:255–267.
Kim, K, Shin, J, Kim, KY & Ryu, J-H 2019. Long-term trend of green and golden tides in the eastern Yellow Sea. J Coast Res. 90:317–323.
Kim, K, Shin, J & Ryu, J-H 2018. Application of multi-satellite sensors to estimate the green-tide area. Korean J Remote Sens. 34:339–349, (in Korean with English abstract).
Komatsu, T, Tatsukawa, K, Filippi, JB, Sagawa, T, Matsunaga, D, Mikami, A, Ishida, K, Ajisaka, T, Tanaka, K, Aoki, M, Wang, WD, Liu, HF, Zhang, SD, Zhou, MD & Sugimoto, T 2007. Distribution of drifting seaweeds in eastern East China Sea. J Mar Syst. 67:245–252.
Kwon, K, Choi, B-J & Lee, S-H 2018. Assimilation of different SST datasets to a coastal ocean modeling system in the Yellow and East China Sea. J Coast Res. 85:1041–1045.
Kwon, KM, Choi, B-J., Lee, S-H., Kim, YH, Seo, G-H. & Cho, Y-K 2016. Effect of model error representation in the Yellow and East China Sea modeling system based on the ensemble Kalman filter. Ocean Dyn. 66:263–283.
Lee, JH, Pang, I-C., Moon, I-J. & Ryu, J-H 2011. On physical factors that controlled the massive green tide occurrence along the southern coast of the Shandong Peninsula in 2008: a numerical study using a particle-tracking experiment. J Geophys Res. 116:C12036 pp.
Mellor, GL & Yamada, T 1982. Development of a turbulence closure model for geophysical fluid problems. Rev Geophys Space Phys. 20:851–875.
Mizuno, S, Ajisaka, T, Lahbib, S, Kokubu, Y, Alabsi, MN & Komatsu, T 2014. Spatial distributions of floating seaweeds in the East China Sea from late winter to early spring. J Appl Phycol. 26:1159–1167.
Monismith, SG & Fong, DA 2004. A note on the potential transport of scalars and organisms by surface waves. Limnol Oceanogr. 49:1214–1217.
North, EW, Hood, RR, Chao, S & Sanford, L 2006. Using a random displacement model to simulate turbulent particle motion in a baroclinic frontal zone: a new implementation scheme and model performance tests. J Mar Syst. 60:365–380.
North, EW, Schlag, Z, Hood, RR, Li, M, Zhong, L, Gross, T & Kennedy, VS 2008. Vertical swimming behavior influences dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay. Mar Ecol Prog Ser. 359:99–115.
Putman, NF, Goni, GJ, Gramer, LJ, Hu, C, Johns, EM, Trinanes, J & Wang, M 2018. Simulating transport pathways of pelagic
Sargassum from the Equatorial Atlantic into the Caribbean Sea. Prog Oceanogr. 165:205–214.
Qi, L, Hu, C, Wang, M, Shang, S & Wilson, C 2017. Floating algae blooms in the East China Sea. Geophys Res Lett. 44:11501–11509.
Ryu, J-H., Han, H-J., Cho, S, Park, Y-J. & Ahn, Y-H 2012. Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS). Ocean Sci J. 47:223–233.
Shchepetkin, A & McWilliams, JC 2005. The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Modell. 9:347–404.
Son, YB, Choi, B-J., Kim, YH & Park, Y-G 2015. Tracing floating green algae blooms in the Yellow Sea and the East China Sea using GOCI satellite data and Lagrangian transport simulations. Remote Sens Environ. 156:21–33.
Song, Y & Haidvogel, D 1994. A semi-implicit ocean circulation model using a generalized topography-following coordinate system. J Comput Phys. 115:228–244.
Thiel, M 2003. Rafting of benthic macrofauna: important factors determining the temporal succession of the assemblage on detached macroalgae. Hydrobiologia. 503:49–57.
Wang, M, Hu, C, Barnes, BB, Mitchum, G, Lapointe, B & Montoya, JP 2019. The great Atlantic
Sargassum belt. Science. 365:83–87.
Xing, Q, An, D, Zheng, X, Wei, Z, Wang, X, Li, L, Tian, L & Chen, J 2019. Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms. Remote Sens Environ. 231:111279 pp.
Yoshida, T 1963. Studies on the distribution and drift of the floating seaweed. Bull Tohoku Reg Fish Res Lab. 23:141–186, (in Japanese with English abstract).
Zhang, J, Shi, J, Gao, S, Huo, Y, Cui, J, Shen, H, Liu, G & He, P 2019. Annual patterns of macroalgal blooms in the Yellow Sea during 2007–2017. PLoS ONE. 14:e0210460 pp.
Zhang, W-N., Huang, H-M., Wang, Y-G., Chen, D-K. & Zhang, L 2018. Mechanistic drifting forecast model for a small semi-submersible drifter under tide-wind-wave conditions. China Ocean Eng. 32:99–109.