气候变化领域集成服务门户(CCPortal): Data-Driven Equation Discovery of Ocean Mesoscale Closures

CCPortal

DOI	10.1029/2020GL088376
	Data-Driven Equation Discovery of Ocean Mesoscale Closures
	Zanna L.; Bolton T.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:17
英文摘要	The resolution of climate models is limited by computational cost. Therefore, we must rely on parameterizations to represent processes occurring below the scale resolved by the models. Here, we focus on parameterizations of ocean mesoscale eddies and employ machine learning (ML), namely, relevance vector machines (RVMs) and convolutional neural networks (CNNs), to derive computationally efficient parameterizations from data, which are interpretable and/or encapsulate physics. In particular, we demonstrate the usefulness of the RVM algorithm to reveal closed-form equations for eddy parameterizations with embedded conservation laws. When implemented in an idealized ocean model, all parameterizations improve the statistics of the coarse-resolution simulation. The CNN is more stable than the RVM such that its skill in reproducing the high-resolution simulation is higher than the other schemes; however, the RVM scheme is interpretable. This work shows the potential for new physics-aware interpretable ML turbulence parameterizations for use in ocean climate models. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Convolutional neural networks; Oceanography; Parameterization; Closed-form equations; Computational costs; Computationally efficient; Conservation law; Equation discovery; High resolution simulations; Ocean climate models; Relevance Vector Machine; Climate models; algorithm; artificial neural network; climate modeling; eddy covariance; machine learning; parameterization; support vector machine; turbulence
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169788
作者单位	Courant Institute of Mathematical Sciences, New York University, New York, NY, United States; Department of Physics, University of Oxford, Oxford, United Kingdom
推荐引用方式 GB/T 7714	Zanna L.,Bolton T.. Data-Driven Equation Discovery of Ocean Mesoscale Closures[J],2020,47(17).
APA	Zanna L.,&Bolton T..(2020).Data-Driven Equation Discovery of Ocean Mesoscale Closures.Geophysical Research Letters,47(17).
MLA	Zanna L.,et al."Data-Driven Equation Discovery of Ocean Mesoscale Closures".Geophysical Research Letters 47.17(2020).