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Routine uncertainty propagation for the marine carbon dioxide system.
(2018)
Pairs of marine carbonate system variables are often used to calculate others, but those results are seldom reported with estimates of uncertainties. Although the procedure to propagate these uncertainties is well known, ...
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 ...