The North Atlantic exhibits diverse biogeographical, physical and environmental conditions. The subpolar gyre experiences intense spring phytoplankton blooms due to nutrient replenishment after winter mixing, which is thought to play a key role in atmospheric carbon sequestration via the biological carbon pump (BCP). In contrast, the subtropical gyre has low surface chlorophyll-a (chla) levels due to near-permanent water column stratification that limits nutrient input. Until recently, quantifying the amount of carbon fixed by phytoplankton that is available for export has  been difficult due to observational constraints that limit the availability of in situ information in space, time, and depth. . The multiparameter data available from Biogeochemical (BGC) Argo floats now alleviate these observing constraints, providing spatially distributed and persistent depth-resolved in situ data for analyzing BCP dynamics. In this study, we combine observations fromBGC-Argo floats with ancillary datasets, from 3D gridded products and remote sensing, to quantify the seasonal dynamics of phytoplankton production within multiple layers of the water column between the sea surface and mesopelagic twilight zone. Our analysis involves: 

1. estimating depth-resolved Net Primary Production (NPP), using an adapted version of the Carbon-Based Productivity Model, and Net Community Production (NCP) along float trajectories in the North Atlantic Ocean, 
2. exploring discrepancies between NCP estimates from different chemical tracers (oxygen, nitrate, and pH), and
3. examining how NCP and NPP variations during the productive period provide insight into the energy efficiency of lower trophic levels across different North Atlantic biomes. 

This research underscores how multi-sensor, multi-platform approaches can be used to enhance understanding of spatio-temporal patterns and variations in the BCP at basin scales.