GSTDTAP  > 地球科学
DOI10.1175/JAS-D-19-0271.1
A New Theoretical Framework for Understanding Multiscale Atmospheric Predictability
Sun, Y. Qiang; Zhang, Fuqing
2020-07-01
发表期刊Journal of the Atmospheric Sciences
出版年2020
英文摘要

Here we present a new theoretical framework that connects the error growth behavior in numerical weather prediction (NWP) with the atmospheric kinetic energy spectrum. Building on previous studies, our newly proposed framework applies to the canonical observed atmospheric spectrum that has a −3 slope at synoptic scales and a −5/3 slope at smaller scales. Based on this realistic hybrid energy spectrum, our new experiment using hybrid numerical models provides reasonable estimations for the finite predictable ranges at different scales. We further derive an analytical equation that helps understand the error growth behavior. Despite its simplicity, this new analytical error growth equation is capable of capturing the results of previous comprehensive theoretical and observational studies of atmospheric predictability. The success of this new theoretical framework highlights the combined effects of quasi-two-dimensional dynamics at synoptic scales (−3 slope) and three-dimensional turbulence-like small-scale chaotic flows (−5/3 slope) in dictating the error growth. It is proposed that this new framework could serve as a guide for understanding and estimating the predictability limit in the real world.

领域地球科学 ; 气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/282688
专题地球科学
气候变化
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GB/T 7714
Sun, Y. Qiang,Zhang, Fuqing. A New Theoretical Framework for Understanding Multiscale Atmospheric Predictability[J]. Journal of the Atmospheric Sciences,2020.
APA Sun, Y. Qiang,&Zhang, Fuqing.(2020).A New Theoretical Framework for Understanding Multiscale Atmospheric Predictability.Journal of the Atmospheric Sciences.
MLA Sun, Y. Qiang,et al."A New Theoretical Framework for Understanding Multiscale Atmospheric Predictability".Journal of the Atmospheric Sciences (2020).
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