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LDEO-pCO2 HPD Back in Time thumbnail
LDEO-pCO2 HPD Back in Time
carbon
machine learning
ocean
zarr
The ocean reduces human impact on the climate by absorbing and sequestering CO2 . From 1950s to the 1980s, observations of pCO2 and related ocean carbon variables were sparse and uncertain. Thus, global ocean biogeochemical models (GOBMs) have been the basis for quantifying the ocean carbon sink. The LDEO-Hybrid Physics Data product (LDEO-HPD) interpolates sparse surface ocean pCO2 data to global coverage by using GOBMs as priors, and applying machine learning to estimate full-coverage corrections.
Lamont-Doherty Earth Observatory Hybrid Physics Data pCO2 ProductThe ocean carbon sink data story

Access Data
flux
Annual fgco2

Maintainers
License
CC BY
Repository
carbonplan/ocean-carbon-sink-data-feedstock
Providers
LDEO
LEAP