According to foreign media reports, some foreign airlines have installed sensors and meteorological radar software related to meteorological science and technology on airlines because of the consideration of aviation safety. These sensors can pass through the water vapor in the air. Predict where there is a strong air flow, where the air flow is weak, so as to minimize the aircraft bumps. Weather radar software can update weather information in real time to help pilots plan safe routes. It is expected that relevant sensor and software manufacturers can benefit from it.
From 1904,Pieckness proposed that the weather forecast is a physical initial value problem. So far,less than a hundred years,the application of meteorological data has achieved a qualitative leap.Especially in the past 20 years, the meteorological data has increased by nearly a thousand times.The greater the amount of observational information, the more real information is contained, and the processing and use of raw materials are also increasingly concerned. Especially in the era of big data, how to use weather data is even more crucial.
Earth Risk is a company that uses big data to forecast future weather conditions.They identify weather patterns based on 82 billion calculations and 60-year meteorological-history data. In addition, observations from the U.S. and British governments and thousands of meteorological researchers are daily updated. The database can predict the probability of hot and cold weather 40 days in advance.For another example,Merck has mastered the weather information for the United States in March more than six months in advance, and predicts that warm air will cause pollen and other allergic factors.Merck has increased the promotion and supply of allergy medicines, resulting in a number of Million dollar extra sales.
As the era of big data is deeply rooted in people's minds, it is a trending choice for meteorology to carry this train to the smart earth. In 2015, meteorological data will focus on tremendous changes. The rapid growth of observation data may be due to the user's misuse and failure to appreciate. Under such circumstances, it is wise to build service platforms and develop software services to make meteorological big data an “infrastructure” for urban social construction.
