谷歌最新研究登上Nature：AI打败传统气候模型

第一财经08:40

传统天气预测、气候模拟，正在被AI颠覆。由Google Research研究团队及其合作者开发的人工智能（AI）模型NeuralGCM，将天气预测和气候模拟提升到了新高度。　　相关研究论文以"Neural general circulation models for weather and climate"为题，已发表在周一的权威科学期刊 Nature 上。　　谷歌团队称，NeuralGCM对1-...

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ACC"},"translate_title":"Google's latest research appears on Nature: AI defeats traditional climate models","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"GOOG":1,"GOOGL":1},"content_text":"传统天气预测、气候模拟，正在被AI颠覆。由Google Research研究团队及其合作者开发的人工智能（AI）模型NeuralGCM，将天气预测和气候模拟提升到了新高度。　　相关研究论文以\"Neural general circulation models for weather and climate\"为题，已发表在周一的权威科学期刊 Nature 上。　　谷歌团队称，NeuralGCM对1-15天预报的准确率，媲美欧洲中期天气预报中心（ECMWF）。对提前10天预报的准确率，NeuralGCM与现有其他AI模型性能相当。加入海平面温度后，NeuralGCM的40年气候预测结果，与从ECMWF 数据中发现的全球变暖趋势一致。　　NeuralGCM 不仅在准确度方面达到甚至超过了现有传统数值天气预报模型和其他机器学习（ML）模型；在速度方面，可以在30秒计算时间内生成22.8天大气模拟；且可以比传统模型节省数量级的计算量。（文章来源：第一财经）","kind":null,"is_publish_news":true,"is_publish_highlight":false,"is_publish_live":null,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"Product 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