谷歌公司近日发布了一款名为 NeuralGCM 的全新AI天气预报模型，该模型结合了机器学习与传统技术，以提高天气预测的准确度与成本效率。NeuralGCM 的发布，标志着在天气预报领域人工智能技术的又一次重要突破。
NeuralGCM 模型由谷歌研究院、谷歌 DeepMind、麻省理工学院、哈佛大学和欧洲中期天气预报中心的科学家们共同研发。通过利用机器学习和神经网络，该模型以大脑神经元为模型，对过去几十年的天气数据进行深度学习，同时融入物理方程来描述大尺度天气模式。这一创新之处在于，模型在保留部分大尺度物理学的基础上，用人工智能取代了部分建模工作，从而使得预测更为准确且成本更低。
谷歌研究公司的斯蒂芬・霍耶尔（Stephen Hoyer）在研究报告中指出，NeuralGCM 模型不仅在预报未来1-10天的天气方面表现出色，其准确度甚至与欧洲中期天气预报中心（ECMWF）的1-15天预报相媲美。这表明，NeuralGCM 不仅在预测时效上取得了显著进展，而且在预测质量上达到了业界领先水平。
值得注意的是，NeuralGCM 模型的开源特性使得用户可以在笔记本电脑上相对快速地运行，极大地降低了使用门槛，促进了AI天气预报技术的普及与应用。这一模型的发布，不仅体现了谷歌在人工智能领域的深厚技术积累，也为全球气象预报领域带来了创新性的解决方案，有望在全球范围内提升天气预报的准确性和效率。
英语如下：
News Title: “Google’s New AI Model: More Accurate Weather Forecasting at Lower Cost”
Keywords: Google AI, Weather Forecasting, NeuralGCM Model
News Content: Google recently unveiled NeuralGCM, a groundbreaking AI weather forecasting model that merges machine learning with traditional techniques to enhance the accuracy and cost-effectiveness of weather predictions. The launch of NeuralGCM marks another significant leap in the application of AI technologies in the field of weather forecasting.
NeuralGCM, developed by a team of scientists from Google Research, Google DeepMind, MIT, Harvard University, and the European Centre for Medium-Range Weather Forecasts, utilizes machine learning and neural networks to model the brain’s neural activity. This model learns from decades of weather data through deep learning, while incorporating physical equations to describe large-scale weather patterns. The innovation lies in the model’s ability to maintain some aspects of large-scale physics while replacing parts of the modeling process with AI, thus achieving more accurate and cost-effective predictions.
In a report by Stephen Hoyer of Google Research, it was noted that NeuralGCM excels in forecasting weather for the next 1-10 days, with accuracy comparable to the European Centre for Medium-Range Weather Forecasts’ (ECMWF) 1-15 day forecasts. This signifies not only a significant advancement in forecast time horizon but also a leading standard in forecast quality.
One notable feature of NeuralGCM is its open-source nature, allowing users to run the model on their laptops relatively quickly, significantly lowering the barrier to entry and promoting the widespread adoption and application of AI weather forecasting technology. The release of this model not only showcases Google’s deep technical expertise in AI but also offers innovative solutions to the global meteorology forecasting community, promising to enhance the accuracy and efficiency of weather predictions worldwide.
【来源】https://www.ithome.com/0/783/583.htm
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