How Big Data Can Boost Weather Forecasting
張岳庭
D0741017
Source: https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/
D0741017
Source: https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/
Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events.
Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance, Alan Anderson, PhD, “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems, which give general information about a broad geographical region, Deep Thunder provides forecasts for extremely specific locations, such as a single airport, so that local authorities can get critically important information in real time.” One of the interesting results of collecting and processing more weather data is the sale of custom insurance to prevent the emergence of weather damaged companies. The Climate Company sells weather forecast services and professional insurance to farmers seeking to hedge their crop damage risks. The company uses large amounts of data based on large amounts of water, soil types, and past crop yields to determine the types of risks associated with specific areas.
After I finished nine article reviews, I finally found one article that did not said a lot of business of big data, it shows that how we can use this tool so diversely.
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ReplyDeleteDue to the increasing number of disaster caused by climate change. For instance, Typhoon Sanba which smashed Korea in 2012. Its horrified wind sent rocks flying anyway like a missiles. Another one is “Hwangsa” storms, which happened in China, carrying dense clouds of yellow dust from Gobi Desert that are sometimes loaded with heavy metals and carcinogens, across the peninsula.
ReplyDeleteAccording to the article"Big data has brought significant changes to many aspects of education. According to a study, published by the Publications Office of the European Union, the most significant change brought by the big data to education, is the ability to monitor educational systems."
Students create a lot of data information per day. Through the Social Network Adapting Pedagogical Practice (SNAPP) into the teaching process, studying students’ blogs, and measuring how much they are interested in a specific course.
Spending time tracking students ’daily social circles helps improve students’ learning
The achievement of the big data on education is the creation of a learning management system. It allows teachers to use automated information online to create assignments and send information.
They set a test bed in the New York City metropolitan area, with three-dimensional grid of thousands of blocks. That makes it easier and possible for them to run the sophisticated data calculations that produce very precise weather forecasts for a particular locale.
Based on the increasing number of accidents that occurred by climate change, scientists take action to protect people and property from the disaster caused by climate change. But, to take effective action, they need to know more deeper about the weather.