Suppr超能文献

机器学习在天气和气候建模中的机遇和挑战:硬 AI、中 AI 和软 AI。

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI.

机构信息

Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK.

European Centre for Medium Range Weather Forecasts, Reading, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200083. doi: 10.1098/rsta.2020.0083. Epub 2021 Feb 15.

Abstract

In September 2019, a workshop was held to highlight the growing area of applying machine learning techniques to improve weather and climate prediction. In this introductory piece, we outline the motivations, opportunities and challenges ahead in this exciting avenue of research. This article is part of the theme issue 'Machine learning for weather and climate modelling'.

摘要

2019 年 9 月,举办了一次研讨会,重点介绍了将机器学习技术应用于提高天气预报和气候预测的这一日益发展的领域。在这篇介绍性文章中,我们概述了在这一令人兴奋的研究领域中面临的动机、机遇和挑战。本文是“天气和气候建模中的机器学习”主题问题的一部分。

相似文献

3
Machine learning for weather and climate are worlds apart.用于天气和气候的机器学习有着天壤之别。
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200098. doi: 10.1098/rsta.2020.0098. Epub 2021 Feb 15.
4
Can deep learning beat numerical weather prediction?深度学习能打败数值天气预报吗?
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200097. doi: 10.1098/rsta.2020.0097. Epub 2021 Feb 15.
5
Physics-informed machine learning: case studies for weather and climate modelling.物理信息机器学习:天气和气候建模案例研究。
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200093. doi: 10.1098/rsta.2020.0093. Epub 2021 Feb 15.
6
Time-series forecasting with deep learning: a survey.基于深度学习的时间序列预测:综述。
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200209. doi: 10.1098/rsta.2020.0209. Epub 2021 Feb 15.
7
Deep learning for post-processing ensemble weather forecasts.用于后处理集合天气预报的深度学习
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200092. doi: 10.1098/rsta.2020.0092. Epub 2021 Feb 15.

引用本文的文献

本文引用的文献

1
Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting.数值天气预报中重力波拖曳的机器学习模拟
J Adv Model Earth Syst. 2021 Jul;13(7):e2021MS002477. doi: 10.1029/2021MS002477. Epub 2021 Jul 8.
3
Deep learning for post-processing ensemble weather forecasts.用于后处理集合天气预报的深度学习
Philos Trans A Math Phys Eng Sci. 2021 Apr 5;379(2194):20200092. doi: 10.1098/rsta.2020.0092. Epub 2021 Feb 15.
4
Analog Forecasting of Extreme-Causing Weather Patterns Using Deep Learning.使用深度学习对极端天气模式进行模拟预测。
J Adv Model Earth Syst. 2020 Feb;12(2):e2019MS001958. doi: 10.1029/2019MS001958. Epub 2020 Feb 23.
5
The scientific challenge of understanding and estimating climate change.理解和估计气候变化的科学挑战。
Proc Natl Acad Sci U S A. 2019 Dec 3;116(49):24390-24395. doi: 10.1073/pnas.1906691116.
6
Deep learning for multi-year ENSO forecasts.深度学习在多年厄尔尼诺-南方涛动预测中的应用。
Nature. 2019 Sep;573(7775):568-572. doi: 10.1038/s41586-019-1559-7. Epub 2019 Sep 18.
7
El Niño-Southern Oscillation complexity.厄尔尼诺-南方涛动复杂性。
Nature. 2018 Jul;559(7715):535-545. doi: 10.1038/s41586-018-0252-6. Epub 2018 Jul 25.
8
Evidence for climate change in the satellite cloud record.卫星云记录中气候变化的证据。
Nature. 2016 Aug 4;536(7614):72-5. doi: 10.1038/nature18273. Epub 2016 Jul 11.
9
The quiet revolution of numerical weather prediction.数值天气预报的悄然变革。
Nature. 2015 Sep 3;525(7567):47-55. doi: 10.1038/nature14956.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验