Abstract
Right-side bias in both sea surface cooling and phytoplankton blooms is often observed in the wake of hurricanes in the Northern Hemisphere. This idealized hurricane modeling study uses a coupled biological-physical model to understand the underlying mechanisms behind hurricane-induced cooling and phytoplankton bloom asymmetry. Both a deep ocean case and a continental shelf sea case are considered and contrasted. Model analyses show that while right-side asymmetric mixing due to inertial oscillations and restratification from strong right-side recirculation cells contributes to bloom asymmetry in the open ocean, the well-mixed condition in the continental shelf sea inhibits formation of recirculation cells, and the convergence of water onto the shelf is a more important process for bloom asymmetry.













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Acknowledgements
Research support provided by National Oceanic and Atmospheric Administration (NOAA) grant NA11NOS0120033, National Aeronautics and Space Administration (NASA) grants NNX12AP84G and NNX13AD80G, Gulf of Mexico Research Initiative/GISR through grant 02-S130202, and NC Sea Grant/Space Grant fellowship to L. McGee are much appreciated. The authors thank Dr. John Warner (USGS), Drs. Stu Bishop and Astrid Schnetzer (NCSU) for their valuable comments and suggestions, and J. Warrillow for her editorial assistance.
Funding
This research received support provided by National Oceanic and Atmospheric Administration (NOAA) grant NA11NOS0120033, National Aeronautics and Space Administration (NASA) grants NNX12AP84G and NNX13AD80G, Gulf of Mexico Research Initiative/GISR through grant 02-S130202, and NC Sea Grant/Space Grant fellowship.
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APPENDIX
APPENDIX
1.1 Dynamical equations of Powell biological model
The dynamical equations of the Powell biological model are shown below. This model calculates four state variables: dissolved nitrogen (nitrate, N), particulate nitrogen or detritus (D), phytoplankton (P), and zooplankton (Z). Each equation has the following form: the left side contains a local time derivative and an advection term, while the right contains a vertical mixing term plus the biological mechanisms. The biological mechanisms include grazing on phytoplankton by zooplankton (G), nitrogen uptake by phytoplankton (U), plankton removal (σd and ςd, for phytoplankton and zooplankton respectively), sinking (wd), and remineralization (δ).
Rm is the zooplankton grazing rate, is the Ivlev constant, I is the intensity of light, I0 is the surface irradiance, kz is the light extinction coefficient, kp is the self-shading coefficient, Vm is the nitrate uptake rate, kN is the uptake half saturation number, and α is the initial slope of the photosynthesis-irradiance curve. The parameter values used in this model (shown below in Table 1) are the same as those in Spitz et al. 2003 and Powell et al. 2006.
1.2 Model initial conditions
The initial vertical profiles of temperature, nitrate, and phytoplankton are from Huang and Oey (2015), and the equations have been reproduced below. Temperature is a function of depth, and is modeled by the set of equations:
Nitrate is modeled by the set of equations:
Nitrate is a function of temperature, also fitted using WOA data (Huang and Oey 2015). The initial phytoplankton profile is a shifted Gaussian function (Platt and Sathyendranath 1988; Sathyendranath et al. 1995; Huang and Oey 2015), such that phytoplankton concentrations are zero at approximately 200 m depth, with a value of 0.12 mmol N m−3 at the surface and a maximum of 0.37 mmol N m−3 at approximately 60 m depth.
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McGee, L., He, R. Mesoscale and submesoscale mechanisms behind asymmetric cooling and phytoplankton blooms induced by hurricanes: a comparison between an open ocean case and a continental shelf sea case. Ocean Dynamics 68, 1443–1456 (2018). https://doi.org/10.1007/s10236-018-1203-3
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DOI: https://doi.org/10.1007/s10236-018-1203-3