Sparse observations induce large biases in estimates of the global ocean CO₂ sink: an ocean model subsampling experiment.

ABSTRACT: Estimates of ocean [Formula: see text] uptake from global ocean biogeochemistry models and [Formula: see text]-based data products differ substantially, especially in high latitudes and in the trend of the [Formula: see text] uptake since 2000. Here, we assess the effect of data sparsity on two [Formula: see text]-based estimates by subsampling output from a global ocean biogeochemistry model. The estimates of the ocean [Formula: see text] uptake are improved from a sampling scheme that mimics present-day sampling to an ideal sampling scheme with 1000 evenly distributed sites. In particular, insufficient sampling has given rise to strong biases in the trend of the ocean carbon sink in the [Formula: see text] products. The overestimation of the [Formula: see text] flux trend by 20-35% globa

SUBMITTER: Hauck J 

PROVIDER: S-EPMC10164466 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature