Algorithms For Dummies

 

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Meteorology: Think about trying to predict weather for the near term given 

the large number of required measures, such as temperature, atmospheric 

pressure, humidity, winds, and precipitation at different times, locations, and 

altitudes. Weather forecasting is really one of the first problems in big data 

and quite a relevant one. According to Weather Analytics, a company that 

provides climate data, more than 33 percent of Worldwide Gross Domestic 

Product (GDP) is determined by how weather conditions affect agriculture, 

fishing, tourism, and transportation, just to name a few. Dating back to the 

1950s, the first supercomputers of the time were used to crunch as much 

data as possible because, in meteorology, the more data, the more accurate 

the forecast. That’s the reason everyone is amassing more storage and 

processing capacity, as you can read in this story regarding the Korean 

Meteorological Association 

https://www.wired.com/insights/2013/02/ 

how-big-data-can-boost-weather-forecasting/

 for weather forecasting 

and studying climate change.