Global Monthly Marine Net Primary Productivity Derived from the Data-Based Productivity Model (DbPM)

This archive contains a global monthly marine net primary productivity (NPP) product derived from the Data-based Productivity Model (DbPM), an observationally constrained machine-learning framework developed using an expanded global compilation of in situ 14C/13C-based NPP measurements and satellite-derived environmental predictors. Original DbPM NPP product – generated directly from satellite observations and therefore containing gaps associated with missing satellite data coverage. Gap-filled DbPM NPP product – reconstructed using Empirical Orthogonal Function (EOF)-based interpolation to fill missing values caused by satellite data gaps, providing a spatially complete global monthly NPP field. Chen, X., Huang, Y., Liu, H., Cassar, N., Liu, X., Wang, W., Chai, F., Kang, J., & Huang, B. (2026). Reduced estimate of global marine primary productivity and hemispheric redistribution over the satellite era revealed by an expanded global observational database. Submitted to Communications Earth & Environment.