The weather forecasts we see every day are based on an army of meteorological sensing networks and intensive computer modeling. Before the rise of these technologies, predictions were made by methods like discerning cloud formations and wind directions.
This course will explore the science behind weather systems by teaching the observational skills needed to make a forecast without using instruments or computer models. We'll discuss the physical processes driving weather and the global forces that shape global climate systems. Finally, we will examine the limits of prediction in both human observations and computer models.
Can the flap of a butterfly's wings in Brazil set off a tornado in Texas? Take this course to find out!
Physical processes in weather systems
Winds, weather masses, clouds, fronts in the temperate zones
Other weather systems
Weather predictions: Linear and non-linear systems
Baylee Lantaff is taking this course right now, spending 3 hours a week on it and found the course difficulty to be medium.
This course is great for beginners, its not easy and not to hard. I've been in love in meteorology since I was born. I learned so much just in the first slide. recommend this course for people who want to know more