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Rik Wanninkhof et al.* examine a machine learning method to construct air-sea CO₂ fluxes and its sensitivity to differing atmospheric forcings. doi.org/10.1029/2024... #ocean #co2 #flux #MachineLearning *Joaquin Triñanes, Denis Pierrot, David R. Munro, Colm Sweeney, Amanda R. Fay
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An extremely randomized trees machine learning approach yields a global CO2 flux of −1.70 PgC yr−1 with a trend of −0.89 PgC yr−1 decade−1 The trend changes to −0.51 PgC yr−1 decade−1 when the ta...
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Trends in Sea‐Air CO2 Fluxes and Sensitivities to Atmospheric Forcing Using an Extremely Randomized Trees Machine Learning Approach
Surface Ocean CO₂ Atlas