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An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks.
(2021)
This work presents two new methods to estimate oceanic alkalinity (AT), dissolved
inorganic carbon (CT), pH, and pCO2 from temperature, salinity, oxygen, and
geolocation data. “CANYON-B” is a Bayesian neural network ...
A vision for FAIR ocean data products.
(2021)
The ocean is mitigating global warming by absorbing large amounts of excesscarbon dioxide from human activities. To quantify and monitor the ocean carbonsink, we need a state-of-the-art data resource that makes data ...