Do you will have a robust curiosity within the sciences and are contemplating a degree in meteorology? The query you could be asking is, How can we know what to expect on the subject of the weather, especially at lengthy timeframes?” The answer, to some extent, lies buried within the huge amounts of global climate data generated each day (over 6 TB/day of observational information alone!).
The Greek philosopher Aristotle is commonly cited as one of many founding fathers of meteorology with his treatise Meteorologica (written in 350 BC) commonly considered one of the earliest makes an attempt to understand the earth’s atmosphere and the water cycle.
In Aristotle’s time when he was giving rise to the time period ‘meteorology’, astronomy and the climate had been believed to be very intently related and accordingly most something that got here from the sky might be categorised as a meteor, including rain, snow, hail and so forth.
Technological advances, similar to the event of scientific computing and a rise within the whole variety of meteorological observations being taken each day throughout the globe, have allowed for higher forecasts (or a minimum of the meteorological community likes to suppose they’re better forecasts) and a much better overall understanding of our environment.
The Department of Meteorology and Atmospheric Science at Penn State is introducing a sequence of courses in Weather and Local weather Analytics that may educate you the best way to entry, analyze, and manipulate large, publically accessible atmospheric datasets.