How big data can boost whether forecasting


Blog #2     : How big data can boost whether forecasting
Name         : 前原優希 Yuki Maehara
Student ID  : D0732355



 KMA(Korean Meteorological Administration) project shows dramatically illustrates today’s big data phenomenon and its impact on weather forecasting. Thanks to the rapid spread of sensors and satellites, and to the increase in computer number-crunching speeds, it’s possible to forecast weather changes more accurately and with improved detail–potentially saving thousands of lives and safeguarding property.

 Increasing evidence of climate change worldwide is prompting governments and scientists to take action to protect people and property from its effects. But, to take effective action, they need to know understand a lot more about the weather–everything from what’s going to happen tomorrow to what’s coming next year. 

 IBM Research scientists are taking the lead in bringing the most sophisticated data analytics to bear on weather forecasting. Their long-term weather analysis project, called Deep Thunder combines data with sophisticated mathematical algorithms and  computing power. Using this capability, the team was able to predict with remarkable accuracy the snowfall totals in New York City during the mammoth snow storm that blanked the northeastern United States in February–and also to predict accurately when the snowfall would start and stop.

Comments

  1. jjMay 14, 2020 at 10:04 PM

    Nice sharing! Big Data is really involve to our daily life! It's expanding more and more to other fields. For weather prediction, I think it's quite useful because we always check the weather in that day or the day we plan to do somthing special. We should know what you have to handle at that day.

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