At the American Geophysical Union Fall meeting in December 2020 Ludda Ludwig gave a talk on her work on using machine learning models to predict dissolved methane and carbon dioxide concentrations in water bodies in the Yukon-Kuskokwim Delta in Alaska. Carbon dioxide concentrations were tightly coupled to dissolved oxygen and increased in lakes with more complex shapes. Methane concentrations increased as a function of both dissolved carbon availability and lability. Using remote sensing data of watershed land cover and lake shape and size, dissolved methane and carbon dioxide can be scaled to the entire region and converted to diffusive emissions using observed gas evasion coefficients. These results demonstrate that the smallest lakes (<0.01 km2) are the strongest emitters, and methane fluxes from small lakes is a similar order of magnitude to wetland and tundra emissions.
Luke Schiferl gave a talk on his work modeling CO2 fluxes on the North Slope of Alaska.
Roisin Commane gave a talk on her work looking at CO emissions from Africa using her data from the NASA ATom mission.
