The quantitative description of marine systems is constrained by a major issue of scale separation: most marine biochemical 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  theoretical appreciation of the interactions between vastly different scales has led to the proliferation of numerical models with uncertain predictive capabilities. We show that a modeling framework allowing for those interactions  can easily tackle puzzling problems such as the phenology of phytoplankton blooms, or vertical variability in mixed layers . Our aquacosm framework allows for a mechanistic description of planktonic ecosystems at the microscales, promising a more effective integration of observational and modeling efforts .
The quantitative description of marine systems is constrained by a major issue of scale separation: most marine biochemical 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. We show that an enhanced Lagrangian modeling framework, allowing for those interactions , can easily tackle puzzling problems such as the phenology of phytoplankton blooms, or vertical variability in mixed layers .
A
widespread
R
a modeling framework
an enhanced Lagrangian modeling framework,
A
,
D
. Our aquacosm framework allows for a mechanistic description of planktonic ecosystems at the microscales, promising a more effective integration of observational and modeling efforts