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Biogeosciences An interactive open-access journal of the European Geosciences Union
Biogeosciences, 13, 1049-1069, 2016
https://doi.org/10.5194/bg-13-1049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
23 Feb 2016
Challenges in modeling spatiotemporally varying phytoplankton blooms in the Northwestern Arabian Sea and Gulf of Oman
S. Sedigh Marvasti1, A. Gnanadesikan2, A. A. Bidokhti3, J. P. Dunne4, and S. Ghader5 1Department of Physical Oceanography, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Earth and Planetary Sciences, Johns Hopkins University, Olin Hall, 3400 N. Charles St., Baltimore, MD  21218, USA
3Institute of Geophysics, University of Tehran, Tehran, P.O. Box 14155-6466, Iran
4National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Rd., Princeton, NJ 08540-6649, USA
5Institute of Geophysics, University of Tehran, Tehran, P.O. Box 14155-6466, Iran
Abstract. Recent years have shown an increase in harmful algal blooms in the Northwest Arabian Sea and Gulf of Oman, raising the question of whether climate change will accelerate this trend. This has led us to examine whether the Earth System Models used to simulate phytoplankton productivity accurately capture bloom dynamics in this region – both in terms of the annual cycle and interannual variability. Satellite data (SeaWIFS ocean color) show two climatological blooms in this region, a wintertime bloom peaking in February and a summertime bloom peaking in September. On a regional scale, interannual variability of the wintertime bloom is dominated by cyclonic eddies which vary in location from one year to another. Two coarse (1°) models with the relatively complex biogeochemistry (TOPAZ) capture the annual cycle but neither eddies nor the interannual variability. An eddy-resolving model (GFDL CM2.6) with a simpler biogeochemistry (miniBLING) displays larger interannual variability, but overestimates the wintertime bloom and captures eddy-bloom coupling in the south but not in the north. The models fail to capture both the magnitude of the wintertime bloom and its modulation by eddies in part because of their failure to capture the observed sharp thermocline and/or nutricline in this region. When CM2.6 is able to capture such features in the Southern part of the basin, eddies modulate diffusive nutrient supply to the surface (a mechanism not previously emphasized in the literature). For the model to simulate the observed wintertime blooms within cyclones, it will be necessary to represent this relatively unusual nutrient structure as well as the cyclonic eddies. This is a challenge in the Northern Arabian Sea as it requires capturing the details of the outflow from the Persian Gulf – something that is poorly done in global models.

Citation: Sedigh Marvasti, S., Gnanadesikan, A., Bidokhti, A. A., Dunne, J. P., and Ghader, S.: Challenges in modeling spatiotemporally varying phytoplankton blooms in the Northwestern Arabian Sea and Gulf of Oman, Biogeosciences, 13, 1049-1069, https://doi.org/10.5194/bg-13-1049-2016, 2016.
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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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