Until recently, the Dvorak technique cloud pattern used in making a current intensity fix was not recorded in the archived Automated Tropical Cyclone Forecast system’s fix data nor consistently commented on in text bulletins, and thus was not available for the tropical cyclone community to use to understand global tropical cyclones. Starting in the 2010s, satellite analysts started routinely recording the cloud pattern used while making the fixes. And, recent work shows that this byproduct of the fix process provides clues into modes of intensity forecast failure. This work, by following a similar strategy, provides an image-based climatology of global subjective Dvorak technique cloud patterns. Exploration of this climatology provides keen insights about the observed cloud patterns and their relationships to tropical cyclone centric brightness temperature variability and lightning activity. To complement the meteorological exploration, machine learning provides techniques to automate the detection of Dvorak cloud patterns. Automated techniques would then allow for more robust convective organization monitoring as some patterns like central cold cover only last for a few hours, which the typical operational fix the cadence misses.
Disclaimer: The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce.

