Mathematics in Meteorology
This page is preaching to the choir for those of you who are already atmospheric scientists
Some quick examples
1. Meteorological variables such as pressure and wind have equations that define them and those variables themselves are used in other equations.
2. Climatology uses statistics to determine average high and low temperatures, average precipitation, etc.
3. Weather forecast models use extensive equation solving techniques, especially considering that the equations describing atmospheric motion are generally nonlinear.
Bottom Line: Want to be a meteorologist? You gotta have lots of Math!
At North Carolina State University I completed six courses, including three in calculus. Additional education at the University of Minnesota at Duluth included two advanced/graduate level classes in numerical analysis. Some meteorologists take a lot more, especially those dedicated to research. Many earn second or advanced degrees in mathematics, engineering, computer science, physics, chemistry, and other mathematically oriented sciences. Operational meteorologists such as weather forecasters do not use mathematics as much as numerical modelers but still must take it to get that desperately desired degree.
If the truth be known, I used to HATE math, mainly because I was no good at it. I'm STILL no good but find math more interesting since I have a reason to learn it.