（图：Getty上的环球历史档案馆/环球图片集团）

时间：2022-04-09 16:21:01 | 来源：行业动态

时间：2022-04-09 16:21:01 来源：行业动态

业界已经不乏关于人工智能及其应用的好处的讨论，包括约会、营销和社交媒体到太空探索和医学进步。每个行业都受到人工智能工具的影响，包括气象行业。

Meteorology has always grappled with the problem of big data. I would even propose that the science was the epitome of big data before the word became mainstream. Due to the multivariate and chaotic nature of weather, for more than half of a century meteorologists have dealt with terabytes of data and modeling variables to produce an accurate forecast. Today, we are still processing data now on the scale of petabytes thanks to the Internet of Things, more sensors, and ensemble modeling. Writer Ted Alcorn estimates that, Todays (weather) models incorporate about 100 million pieces of data each day, a level of complexity comparable to simulations of the human brain or the birth of the universe.

气象学一直都在努力解决大数据的问题。笔者甚至认为，在大数据这个词成为主流之前，气象学就是大数据的缩影。天气具有多变性和混沌性，半个多世纪以来，气象学家一直在试着处理兆兆字节（TB）级别的数据和建模变量做准确的天气预测。到了今天，我们还是在处理数据，数据规模到了千兆兆字节（PB）级别，拜物联网、更多的传感器和集合建模所赐。写手Ted Alcorn估计，今天的（天气）模型每天用到约1亿条数据，其复杂程度堪比对人脑或宇宙诞生的模拟。

But computing power and the advancement of technology such as AI have allowed us to not only analyze the data quicker and easier, but also learn from historical data for better situational awareness and decision-making. Within the weather community, AI is being applied to several different challenges. One focus is to make a better weather forecast.

但计算能力和人工智能等技术在不断进步，我们现在不仅能够更快、更容易地分析数据，而且还能从历史数据中 学习，从而获得更好的态势感知和做出更好的决策。人工智能在气象界能够用于应对几个不同的挑战。其中的一个重点是做出更好的天气预报。

Forecasting is increasingly becoming more accurate. Today a five-day forecast has a 90% accuracy, the same as a three-day forecast 25 years ago. Short-term predictions, or now casting in hourly time spans, is more challenging particularly due to micro changes at the surface. Scientists at DeepMind and the University of Exeter have partnered with the U.K. Met Office to build a nowcasting system using AI that would overcome these challenges to make more accurate short-term predictions, including for critical storms and floods. Another research study is looking at the efficiency of modeling and how AI can analyze past weather patterns to predict future events, more efficiently and more accurately.