Articles | Volume 13, issue 4
https://doi.org/10.5194/bg-13-1049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-1049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Challenges in modeling spatiotemporally varying phytoplankton blooms in the Northwestern Arabian Sea and Gulf of Oman
S. Sedigh Marvasti
CORRESPONDING AUTHOR
Department of Physical Oceanography, Science and Research Branch, Islamic Azad University, Tehran, Iran
A. Gnanadesikan
Department of Earth and Planetary Sciences, Johns Hopkins
University, Olin Hall, 3400 N. Charles St., Baltimore, MD 21218, USA
A. A. Bidokhti
Institute of Geophysics, University of Tehran, Tehran, P.O. Box
14155-6466, Iran
J. P. Dunne
National Oceanic and Atmospheric Administration/Geophysical Fluid
Dynamics Laboratory, 201 Forrestal Rd., Princeton, NJ 08540-6649, USA
S. Ghader
Institute of Geophysics, University of Tehran, Tehran, P.O. Box
14155-6466, Iran
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Cited
10 citations as recorded by crossref.
- Response of phytoplankton assemblages to variations in environmental parameters in a subtropical bay (Chabahar Bay, Iran): Harmful algal blooms and coastal hypoxia H. Ershadifar et al. https://doi.org/10.1016/j.rsma.2020.101421
- Suspended particulate matter in the Gulf of Oman: Spatial variations in concentration, bulk composition, and particulate metals controlled by physical and biogeochemical processes H. Ershadifar et al. https://doi.org/10.1016/j.scitotenv.2024.175396
- Nutrients and chlorophyll-a in the Gulf of Oman: High seasonal variability in nitrate distribution H. Ershadifar et al. https://doi.org/10.1016/j.dsr2.2022.105250
- Vertical distribution of chlorophyll in dynamically distinct regions of the southern Bay of Bengal V. Thushara et al. https://doi.org/10.5194/bg-16-1447-2019
- Hybrid multi-criteria and machine learning framework for site selection of PRO–based salinity gradient power plants A. Paul et al. https://doi.org/10.1007/s44274-026-00800-6
- Formation of summer phytoplankton bloom in the northwestern Bay of Bengal in a coupled physical-ecosystem model V. Thushara & P. Vinayachandran https://doi.org/10.1002/2016JC011987
- Assessing spatial and temporal variability of phytoplankton communities' composition in the Iroise Sea ecosystem (Brittany, France): A 3D modeling approach M. Cadier et al. https://doi.org/10.1016/j.jmarsys.2017.01.004
- Temporal phytoplankton diversity patterns and community structure in a monsoonal region, Oman Seawater (Iranian parts) M. Rabbaniha et al. https://doi.org/10.1016/j.rsma.2018.09.011
- Application of sensors and artificial intelligence in algal bloom monitoring: a knowledge map, research hotspots, and future trends based on CiteSpace X. Wang https://doi.org/10.1007/s10661-025-14917-3
- Climate Change Impacts on the Seasonal Variation of Hydro-Physical Characteristics in the Persian Gulf A. Azarnivand et al. https://doi.org/10.1007/s12237-022-01151-0
10 citations as recorded by crossref.
- Response of phytoplankton assemblages to variations in environmental parameters in a subtropical bay (Chabahar Bay, Iran): Harmful algal blooms and coastal hypoxia H. Ershadifar et al. https://doi.org/10.1016/j.rsma.2020.101421
- Suspended particulate matter in the Gulf of Oman: Spatial variations in concentration, bulk composition, and particulate metals controlled by physical and biogeochemical processes H. Ershadifar et al. https://doi.org/10.1016/j.scitotenv.2024.175396
- Nutrients and chlorophyll-a in the Gulf of Oman: High seasonal variability in nitrate distribution H. Ershadifar et al. https://doi.org/10.1016/j.dsr2.2022.105250
- Vertical distribution of chlorophyll in dynamically distinct regions of the southern Bay of Bengal V. Thushara et al. https://doi.org/10.5194/bg-16-1447-2019
- Hybrid multi-criteria and machine learning framework for site selection of PRO–based salinity gradient power plants A. Paul et al. https://doi.org/10.1007/s44274-026-00800-6
- Formation of summer phytoplankton bloom in the northwestern Bay of Bengal in a coupled physical-ecosystem model V. Thushara & P. Vinayachandran https://doi.org/10.1002/2016JC011987
- Assessing spatial and temporal variability of phytoplankton communities' composition in the Iroise Sea ecosystem (Brittany, France): A 3D modeling approach M. Cadier et al. https://doi.org/10.1016/j.jmarsys.2017.01.004
- Temporal phytoplankton diversity patterns and community structure in a monsoonal region, Oman Seawater (Iranian parts) M. Rabbaniha et al. https://doi.org/10.1016/j.rsma.2018.09.011
- Application of sensors and artificial intelligence in algal bloom monitoring: a knowledge map, research hotspots, and future trends based on CiteSpace X. Wang https://doi.org/10.1007/s10661-025-14917-3
- Climate Change Impacts on the Seasonal Variation of Hydro-Physical Characteristics in the Persian Gulf A. Azarnivand et al. https://doi.org/10.1007/s12237-022-01151-0
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Latest update: 24 Jun 2026
Short summary
This study examines challenges in modeling phytoplankton blooms in Northwestern Arabian Sea and Gulf of Oman. Blooms in the region show strong modulation both by seasons and in the wintertime by eddies. However getting both of these correct is a challenge in a set of state-of-the-art global Earth System models. It is argued that maintaining a sharp pycnocline may be the key for preventing the wintertime bloom from being too strong and for allowing eddies to modulate upward mixing of nutrients.
This study examines challenges in modeling phytoplankton blooms in Northwestern Arabian Sea and...
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