Abstract: Global modeling of seafloor methanogenesis using machine-learning predicted inputs to well-known deterministic models (AGU Fall Meeting 2018)

Global modeling of seafloor methanogenesis using machine-learning predicted inputs to well-known deterministic models

Taylor Runyan Lee¹, Warren T Wood¹, Benjamin J Phrampus¹, Jason Dale² and John Yu³, (1)US Naval Research Laboratory, Ocean Sciences Division, Washington, DC, United States, (2)US Naval Research Lab, Geosciences Division, Stennis Space Center, MS, United States, (3)ASEE Student Apprenticeship, US Naval Research Laboratory, Stennis Space Center, United States

Back to: Seafloor Hydrocarbon Seepage and Venting: The Contributions and Impacts to the Hydrosphere, Atmosphere, and Seep Habitat Biosphere Posters