TY - JOUR
T1 - Stirring, Mixing, Growing
T2 - Microscale Processes Change Larger Scale Phytoplankton Dynamics
AU - Paparella, Francesco
AU - Vichi, Marcello
N1 - Funding Information:
An earlier version of this manuscript was released as a Pre- Print at https://arxiv.org/abs/1909.04334. We thank the editor and the reviewers for their careful reading and thoughtful comments which greatly improved the clarity of our manuscript. The authors acknowledge the public availability of the NEMO (https://www.nemo-ocean.eu) and BFM (https://www.bfm-community.eu) models. Funding. This research was funded by internal resources of New York University Abu Dhabi, the Center on Stability, Instability and Turbulence, MV received funding from the NRF through the South African National Antarctic Program.
Funding Information:
This research was funded by internal resources of New York University Abu Dhabi, the Center on Stability, Instability and Turbulence, MV received funding from the NRF through the South African National Antarctic Program.
Publisher Copyright:
© Copyright © 2020 Paparella and Vichi.
PY - 2020/8/27
Y1 - 2020/8/27
N2 - The quantitative description of marine systems is constrained by a major issue of scale separation: phytoplankton production processes occur at sub-centimeter scales, while the contribution to the Earth's biogeochemical cycles is expressed at much larger scales, up to the planetary one. In spite of vastly improved computing power and observational capabilities, the modeling approach has remained anchored to an old view that sees the microscales as unable to substantially affect larger ones. The lack of a widespread theoretical appreciation of the interactions between vastly different scales has led to the proliferation of numerical models with uncertain predictive capabilities. In this paper, we use the phenology of phytoplankton blooms as one example of a macroscopic ecosystem feature affected by microscale interactions. We describe two distinct mechanisms that produce patchiness within a productive water column: turbulent entrainment of less-productive water at the base of the mixed layer, and stirring by slow turbulence of a vertical phytoplankton gradient sustained by depth-dependent light availability. In current eddy-diffusive models, patchiness produced in this way is wiped out very rapidly, because the time scales of irreversible mixing largely overlap those of mechanical stirring. We propose a novel Lagrangian modeling framework that allows for the existence of microscale patchiness, even when that is not fully resolved. We show, with a mixture of theoretical arguments and numerical simulations of increasing realism, how the presence of patchiness, in turn, affects larger-scale properties, demonstrating that the timing of phytoplankton blooms and vertical variability of chlorophyll in the oceanic upper layers is determined by the mutual interplay between the stirring, mixing and growing processes.
AB - The quantitative description of marine systems is constrained by a major issue of scale separation: phytoplankton production processes occur at sub-centimeter scales, while the contribution to the Earth's biogeochemical cycles is expressed at much larger scales, up to the planetary one. In spite of vastly improved computing power and observational capabilities, the modeling approach has remained anchored to an old view that sees the microscales as unable to substantially affect larger ones. The lack of a widespread theoretical appreciation of the interactions between vastly different scales has led to the proliferation of numerical models with uncertain predictive capabilities. In this paper, we use the phenology of phytoplankton blooms as one example of a macroscopic ecosystem feature affected by microscale interactions. We describe two distinct mechanisms that produce patchiness within a productive water column: turbulent entrainment of less-productive water at the base of the mixed layer, and stirring by slow turbulence of a vertical phytoplankton gradient sustained by depth-dependent light availability. In current eddy-diffusive models, patchiness produced in this way is wiped out very rapidly, because the time scales of irreversible mixing largely overlap those of mechanical stirring. We propose a novel Lagrangian modeling framework that allows for the existence of microscale patchiness, even when that is not fully resolved. We show, with a mixture of theoretical arguments and numerical simulations of increasing realism, how the presence of patchiness, in turn, affects larger-scale properties, demonstrating that the timing of phytoplankton blooms and vertical variability of chlorophyll in the oceanic upper layers is determined by the mutual interplay between the stirring, mixing and growing processes.
KW - Bio-Geo-Chemical Argo (BGC-Argo)
KW - aquacosms
KW - biogeochemistry
KW - irreversible mixing
KW - lagrangian particle
KW - model bias and bias correction
KW - phytoplankton bloom
KW - plankton modeling
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UR - http://www.scopus.com/inward/citedby.url?scp=85090787379&partnerID=8YFLogxK
U2 - 10.3389/fmars.2020.00654
DO - 10.3389/fmars.2020.00654
M3 - Article
AN - SCOPUS:85090787379
SN - 2296-7745
VL - 7
JO - Frontiers in Marine Science
JF - Frontiers in Marine Science
M1 - 654
ER -