Data from: Spatial and temporal interplay between oceanic circulation and biological production in shaping carbon export off the California coast

Abstract

A major challenge in understanding the oceanic carbon cycle is estimating the sinking flux of organic carbon exiting the sunlit surface ocean, termed carbon export. Existing algorithms derive carbon export from satellite ocean color, but neglect spatio-temporal offsets created by the temporal lag between production and export, and by horizontal advection. Here, we show that a Lagrangian “growth-advection” (GA) satellite-derived product, where plankton succession and export are mapped onto surface oceanic circulation following coastal upwelling, succeeds in representing in situ export off the California coast. In situ export is best represented by a combination of GA export (proportional to modeled zooplankton) and export derived from ocean color (related to local phytoplankton). Both products also correlate with a long-term time series of abyssal carbon flux. These results provide insights on export spatio-temporal patterns and a path towards improving satellite-derived carbon export in the California Current and beyond.

Data set description

This data set is a satellite-based 1993-2023 daily model of surface POC production (Cproduction) and the corresponding carbon export flux extrapolated at 100 m (C100) in the California Current upwelling system. These were modeled using the growth-advection method originally developed to represent krill hospots (Messié et al. (2022), corresponding dataset).

Details regarding data sources and calculations can be found in Messié et al. (2022) and Messié et al. (2025).