Figure A.1

Flowchart of the ML16 method applied to GEO data. (a) Convective cores are identified as local minima in brightness temperature in geostationary satellite images. (b) Atmospheric sounding information, which is collocated with the convective cores, drives a plume model. (c) The plume model outputs a range of possible buoyancy profiles for a range of entrainment rates. (d) Using a Bayesian weighting procedure, we select the plume that best models the observed cloud-top height and buoyancy. (e) Identify the best-fit vertical velocity profile by the same Bayesian weight as selected from step (d)