Articles | Volume 14, issue 10
Geosci. Model Dev., 14, 6049–6070, 2021
Geosci. Model Dev., 14, 6049–6070, 2021

Model experiment description paper 11 Oct 2021

Model experiment description paper | 11 Oct 2021

The Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0): application to the Yellow Sea green tide

Fucang Zhou et al.

Related authors

Mesoscale simulation of typhoon-generated storm surge: methodology and Shanghai case study
Shuyun Dong, Wayne J. Stephenson, Sarah Wakes, Zhongyuan Chen, and Jianzhong Ge
Nat. Hazards Earth Syst. Sci., 22, 931–945,,, 2022
Short summary
Retrieving monthly and interannual total-scale pH (pHT) on the East China Sea shelf using an artificial neural network: ANN-pHT-v1
Xiaoshuang Li, Richard Garth James Bellerby, Jianzhong Ge, Philip Wallhead, Jing Liu, and Anqiang Yang
Geosci. Model Dev., 13, 5103–5117,,, 2020
Short summary
Long-term variation of sea ice and its response to thermodynamic factors in the Northwest Passage of the Canadian Arctic Archipelago
Xinyi Shen, Yu Zhang, Changsheng Chen, and Song Hu
The Cryosphere Discuss.,,, 2020
Manuscript not accepted for further review
Short summary
Initial spread of 137Cs from the Fukushima Dai-ichi Nuclear Power Plant over the Japan continental shelf: a study using a high-resolution, global-coastal nested ocean model
Z. Lai, C. Chen, R. Beardsley, H. Lin, R. Ji, J. Sasaki, and J. Lin
Biogeosciences, 10, 5439–5449,,, 2013

Related subject area

DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations
Alexander Barth, Aida Alvera-Azcárate, Charles Troupin, and Jean-Marie Beckers
Geosci. Model Dev., 15, 2183–2196,,, 2022
Short summary
RADIv1: a non-steady-state early diagenetic model for ocean sediments in Julia and MATLAB/GNU Octave
Olivier Sulpis, Matthew P. Humphreys, Monica M. Wilhelmus, Dustin Carroll, William M. Berelson, Dimitris Menemenlis, Jack J. Middelburg, and Jess F. Adkins
Geosci. Model Dev., 15, 2105–2131,,, 2022
Short summary
IBI-CCS: a regional high-resolution model to simulate sea level in western Europe
Alisée A. Chaigneau, Guillaume Reffray, Aurore Voldoire, and Angélique Melet
Geosci. Model Dev., 15, 2035–2062,,, 2022
Short summary
Empirical Lagrangian parametrization for wind-driven mixing of buoyant particles at the ocean surface
Victor Onink, Erik van Sebille, and Charlotte Laufkötter
Geosci. Model Dev., 15, 1995–2012,,, 2022
Short summary
Improving ocean modeling software NEMO 4.0 benchmarking and communication efficiency
Gaston Irrmann, Sébastien Masson, Éric Maisonnave, David Guibert, and Erwan Raffin
Geosci. Model Dev., 15, 1567–1582,,, 2022
Short summary

Cited articles

Abascal, A. J., Castanedo, S., Mendez, F. J., Medina, R., and Losada, I. J.: Calibration of a Lagrangian Transport Model Using Drifting Buoys Deployed during the Prestige Oil Spill, J. Coastal Res., 25, 80–90,, 2009. 
Bao, M., Guan, W., Yang, Y., Cao, Z., and Chen, Q.: Drifting trajectories of green algae in the western Yellow Sea during the spring and summer of 2012, Estuarine, Coastal and Shelf Science, 163, 9–16,, 2015. 
Bian, C., Jiang, W., Quan, Q., Wang, T., Greatbatch, R. J., and Li, W.: Distributions of suspended sediment concentration in the Yellow Sea and the East China Sea based on field surveys during the four seasons of 2011, J. Marine Syst., 121–122, 24–35,, 2013. 
Brooks, M., Coles, V., Hood, R., and Gower, J.: Factors controlling the seasonal distribution of pelagic Sargassum, Mar. Ecol. Prog. Ser., 599, 1–18,, 2018. 
Chen, C., Liu, H., and Beardsley, R. C.: An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: Application to coastal ocean and estuaries, J. Atmos. Ocean. Tech., 20, 159–186,<0159:AUGFVT>2.0.CO;2, 2003. 
Short summary
In this study, a physical–ecological model, the Floating Macroalgal Growth and Drift Model (FMGDM), was developed to determine the dynamic growth and drifting pattern of floating macroalgae. Based on Lagrangian tracking, the macroalgae bloom is jointly controlled by ocean flows, sea surface wind, temperature, irradiation, and nutrients. The FMGDM was robust in successfully reproducing the spatial and temporal dynamics of the massive green tide around the Yellow Sea.