  The large combined field of view of the Geostationary Lightning Mapper (GLM)
instruments onboard the GOES weather satellites makes them useful for studying
the population of other atmospheric phenomena, such as bolides. Being a
lightning mapper, GLM has many detection biases when applied to non-lightning
and these systematics must be studied and properly accounted for before precise
measurements of bolide flux can be ascertained. We developed a Bayesian Poisson
regression model which simultaneously estimates instrumental biases and our
statistic of principal interest: the latitudinal variation of bolide flux. We
find that the estimated bias due to the angle of incident light upon the
instrument corresponds roughly with the known sensitivity of the GLM
instruments. We compare our latitudinal flux variation estimates to existing
theoretical models and find our estimates consistent with GLM being strongly
biased towards high-velocity bolides.
