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新计算技术在天气预报与气候预测中的应用:变革与展望

Applications of New Computing Technologies in Weather Forecasting and Climate Prediction: Transformation and Prospects

  • 摘要: 本文聚焦于以人工智能和量子计算为代表的新计算技术在天气预报与气候预测领域的应用。文章深入探讨了人工智能在气象数据处理分析和长期气候预测等方面的应用,同时阐述了量子计算在气候模型计算加速和参数优化等方面的成效。文章认为,新计算技术显著提升了天气预报和气候预测的能力、速度与精度,但也面临着人工智能模型可解释性弱、量子计算硬件与算法发展速度慢等挑战。展望未来,随着人工智能算法解释性增强、量子计算硬件性能改善,新兴计算技术将为天气预报与气候预测提供更有力的支持。

     

    Abstract: This article focuses on the applications of new computing technologies represented by artificial intelligence (AI) and quantum computing in the fields of weather forecasting and climate prediction. The article delves into the applications of AI in meteorological data processing and analysis, as well as long - term climate prediction. Meanwhile, it expounds on the achievements of quantum computing in accelerating climate model calculations and optimizing parameters. The article holds that new computing technologies have significantly enhanced the capabilities, speed, and accuracy of weather forecasting and climate prediction. However, they also face challenges such as the weak interpretability of AI models and the slow development of quantum computing hardware and algorithms. Looking ahead, with the enhancement of the interpretability of AI algorithms and the improvement of the performance of quantum computing hardware, emerging computing technologies will provide more robust support for weather forecasting and climate prediction.

     

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