Artificial intelligence to predict climate and weather change
参考中译:人工智能预测气候和天气变化


          

刊名：JMST Advances
作者：Soohwan Jeon（Energy Research Center, Research Institute of Industrial Science and Technology）
Junkyu Kim（Energy Research Center, Research Institute of Industrial Science and Technology）
刊号：780GA001-A
ISSN：2524-7905
出版年：2024
年卷期：2024, vol.6, no.1
页码：67-73
总页数：7
分类号：TH
关键词：Artificial intelligence；Climate change；El nino/Southern oscillation；Sea level rise；Typhoon；Extreme weather；Global warming
参考中译：人工智能;气候变化;厄尔尼诺/南方涛动;海平面上升;台风;极端天气;全球变暖
语种：eng
文摘：In recent years, the risk of natural disasters has been on the rise due to climate change and extreme weather events driven by global warming, thereby increasing the need for technology that can predict them. Existing weather forecasting technologies that are based on physical and numerical models are not highly accurate and have limitations as certain variables such as global warming are not taken into account. This paper will introduce technologies that utilize artificial intelligence to predict long-term climate change and short- to medium-term extreme weather events. These technologies are not only being actively researched at the basic level, but also are gradually being applied commercially.
参考中译：近年来，由于气候变化和全球变暖引发的极端天气事件，自然灾害的风险不断上升，从而增加了对预测自然灾害的技术的需求。现有的基于物理和数字模型的天气预报技术不高准确性，并且存在局限性，因为没有考虑全球变暖等某些变量。本文将介绍利用人工智能预测长期气候变化和中短期极端天气事件的技术。这些技术不仅在基础层面积极研究，而且正在逐步商业化应用。



国家科技图书文献中心  全球文献资源网  京ICP备05055788号-26  机械工业信息研究院 2018-2024