NIES-ML3 ensemble product of surface ocean CO2 concentrations and air-sea CO2 fluxes reconstructed by using three machine learning models with new CO2 trends

This product is the result of our new study on ocean CO2 trends using Random Forest, Gradient Boost Machine, and Feedforward Neural Network. Using the time-dependent trends for ocean CO2 reconstruction substantially reduced the error of using a constant trend and therefore improved the oceanic sink...

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Bibliographische Detailangaben
1. Verfasser: Jiye Zeng
Format: Dataset
Sprache:eng
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Beschreibung
Zusammenfassung:This product is the result of our new study on ocean CO2 trends using Random Forest, Gradient Boost Machine, and Feedforward Neural Network. Using the time-dependent trends for ocean CO2 reconstruction substantially reduced the error of using a constant trend and therefore improved the oceanic sink estimate.
DOI:10.17632/znyppsv6v7.1