  Hyperspectral satellite images report greenhouse gas concentrations worldwide
on a daily basis. While taking simple averages of these images over time
produces a rough estimate of relative emission rates, atmospheric transport
means that simple averages fail to pinpoint the source of these emissions. We
propose using Wasserstein barycenters coupled with weather data to average gas
concentration data sets and better concentrate the mass around significant
sources.
