Using a larger pool of talent to refine your models

When debris flew off Discovery, NASA was surprised about the type of debris that fell off during launch even through they had spent some time to reduce this type of occurence. This is a true statement about how many uncertainties they have to deal with. Another poorly understood process is that of debris falling when they reenter the atmosphere. What is pretty astounding is that the data generally used to detect tornadoes could be used on February 2, 2003 to see real-time the plume made the disintegration of the orbiter.


While I am pretty sure that these data are being used to refine debris reentry modeling, it is quite exceptional that one can have access to this type of data. With the Python module pyRadar, I am pretty sure an active tornado warning system could be designed somewhat easily using a larger pool of talent.