斯坦福和科罗拉多州立大学研究人员开发了一个低成本的人工智能工具,用于分析全球变暖对包括2023年得克萨斯州热浪在内的个别极端天气事件的影响。 Stanford and Colorado State University researchers developed a low-cost AI tool to analyze the impact of global warming on individual extreme weather events, including the 2023 Texas heat wave.

来自斯坦福和科罗拉多州立大学的研究人员开发了一个低成本的人工智能工具,用于分析全球变暖对热浪等个别极端天气事件的影响。 Researchers from Stanford and Colorado State University developed a low-cost AI tool to analyze the impact of global warming on individual extreme weather events, such as heat waves. AI方法在《科学进步》中详细介绍,根据区域天气条件和全球平均温度预测每日最高气温。 The AI method, detailed in Science Advances, predicts daily maximum temperatures based on regional weather conditions and global mean temperature. 研究人员利用1850年至2100年的气候数据对AI模型进行了培训,以分析2023年得克萨斯州热浪,发现全球变暖使其温度上升了1.18至1.42摄氏度。 The researchers trained AI models using climate data from 1850 to 2100 to analyze the 2023 Texas heat wave, finding that global warming increased its temperature by 1.18 to 1.42 degrees Celsius. 该工具可帮助指导气候适应战略,并为寻求气候变化损害赔偿的诉讼提供信息。 The tool could help guide climate adaptation strategies and inform lawsuits seeking compensation for climate change damages.