Lake Superior inorganic carbon cycling reconstruction 2019-2023

A gap-filling reconstruction of Lake Superior pCO2 was trained on underway observations utilizing machine learning regression. The output fields in this repository accompany the publication "A neural network-based estimate of the seasonal to inter-annual variability of the Lake Superior carbon cycle" by Sandborn et al. (in review).