jilian0717 / lpt-bio_model

Lagrangian particle tracking and biological model based on SCHISM

LPT-Bio_model

Lagrangian particle tracking and biological (LPT-Bio) model developed based on SCHISM. It is an offline particle tracking model, meaning we run the hydrodynamics first and then use the saved hydrodynamics to drive the transport of each particle. Based on the passive and neutrally buoyant particle tracking module in SCHISM, we added a diel vertical migration and a changing cell density to each particle. The particle tracking code was compiled in the modeling system of SCHISM and was run on the HPC of William & Mary.

/test_case/

Include the revised particle tracking code (ptrack3_bio.f90) with algal bloom dynamics and diel vertical migrations, the example particle initialization file (particle.bp), and DIN, TSS files

/sentinel_image/

satellite data (with high quality) covering the tracking period from 2020.07.28 - 2020.08.06; downloaded from NOAA Algal Bloom Beta/Experimental Products

/post_processing/

Generate the maps of chl-a concentrations based on particle tracking in Xiong et al. 2023.

References:

• Xiong, J., Shen, J., Qin, Q., Tomlinson, M. C., Zhang, Y. J., Cai, X., Ye, F., Cui, L., Mulholland, M. R. (2023). Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: a novel Lagrangian particle tracking model with mixotrophic growth and vertical migration. Limnology and Oceanography Letters.
• Xiong, J., Shen, J., Wang, Q. (2022). Storm-induced coastward expansion of Margalefidinium polykrikides in Chesapeake Bay. Marine Pollution Bulletin, 184, 114187.

Welcom to email me if you have any questions: [email protected]