Yes meteorology is thought to be perhaps the most difficult of the physical earth sciences.
One theory to research is the “Butterfly Effect”.
From Wikipedia: “In chaos theory, the butterfly effect is the sensitive dependence on initial conditions in which a small change in one state of a deterministic nonlinear system can result in large differences in a later state.
The term is closely associated with the work of mathematician and meteorologist Edward Lorenz. He noted that butterfly effect is derived from the metaphorical example of the details of a tornado (the exact time of formation, the exact path taken) being influenced by minor perturbations such as a distant butterfly flapping its wings several weeks earlier.[citation needed] Lorenz discovered the effect when he observed runs of his weather model with initial condition data that were rounded in a seemingly inconsequential manner. He noted that the weather model would fail to reproduce the results of runs with the unrounded initial condition data. A very small change in initial conditions had created a significantly different outcome.
The idea that small causes may have large effects in weather was earlier recognized by French mathematician and engineer Henri Poincaré. American mathematician and philosopher Norbert Wiener also contributed to this theory. Edward Lorenz’s work placed the concept of instability of the Earth’s atmosphere onto a quantitative base and linked the concept of instability to the properties of large classes of dynamic systems which are undergoing nonlinear dynamics and deterministic chaos.
The butterfly effect concept has since been used outside the context of weather science as a broad term for any situation where a small change is supposed to be the cause of larger consequences.”
I’ve read Multiple books on Chaos Theory, or more aptly, “sensitive dependence based upon initial conditions”.
Gleick’s “Chaos: Making a New Science” was good.
Michael Crichton has a good talk about it on YouTube as well.
Complexity science is also used at Wall Street as well.
That, and predicting the next Black Swan...