Gaussian process
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Atlantic δ13CDIC reconstructed with machine learning
Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.
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GloMarGridding supports spatial interpolation uncertainty assessment
GloMarGridding isolates and assesses structural uncertainty from spatial interpolation in global temperature datasets using Gaussian Process Regression Modelling.

