Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Xiong, Jilian; Shen, Jian; Qin, Qubin; Tomlinson, Michelle C.; Zhang, Yinglong J.; Cai, Xun; Ye, Fei; Cui, Linlin; Mulholland, Margaret R.

doi:10.1002/lol2.10308

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

2023
By Xiong, Jilian ; Shen, Jian ; Qin, Qubin ; ...
Source: Limnology and Oceanography Letters (2023)

[PDF-7.29 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details Supporting Files You May Also Like

Details:

Journal Title:

Limnology and Oceanography Letters
Personal Author:

Xiong, Jilian ; Shen, Jian ; Qin, Qubin ; Tomlinson, Michelle C. ; Zhang, Yinglong J. ; ... More +

Xiong, Jilian ; Shen, Jian ; Qin, Qubin ; Tomlinson, Michelle C. ; Zhang, Yinglong J. ; Cai, Xun ; Ye, Fei ; Cui, Linlin ; Mulholland, Margaret R. Less -
NOAA Program & Office:

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science)

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science) Less -
Description:

Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT-Bio) model was developed with a high-resolution numerical model and remote sensing. The LPT-Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine-scale structures of bloom patchiness, demonstrating a reliable prediction skill for 7–10 d. The fully coupled LPT-Bio model initialized/calibrated by remote sensing and controlled by ambient environmental conditions appeared to be a powerful approach to predicting transport pathways, identifying bloom hotspots, resolving concentration variations at subgrid scales, and investigating responses of HABs to changing environmental conditions and human interference.
Keywords:

[+]

Aquatic Science Oceanography
Source:

Limnology and Oceanography Letters (2023)
DOI:

https://doi.org/10.1002/lol2.10308
ISSN:

2378-2242;2378-2242;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:fd3b74045e79478880adf34998c9ac403170db464f1acf35de071e9bb5214116
Download URL:

https://repository.library.noaa.gov/view/noaa/49234/noaa_49234_DS1.pdf
File Type:

Supplemental media

docx

More +