Optimal Evolutionary Window for the Nonlinear Local Lyapunov Exponent-Reference-Cited by-同舟云学术

Optimal Evolutionary Window for the Nonlinear Local Lyapunov Exponent

Published:2017 Issue:0 Volume:13 Page:125-129
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Huai Xiaowei¹²,Li Jianping³⁴,Ding Ruiqiang¹⁵,Liu Deqiang⁶

Affiliation:

1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics

2. College of Earth Sciences, University of Chinese Academy of Sciences

3. State Key Laboratory of Earth Surface Processes and Resource Ecology and College of Global Change and Earth System Science (GCESS), Beijing Normal University

4. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology

5. College of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology

6. Fujian Meteorological Observatory

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/13/0/13_2017-023/_pdf

Reference32 articles.

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2. Chen, B. H., J. P. Li, and R. Q. Ding, 2006: Nonlinear local Lyapunov exponent and atmospheric predictability research. Sci. China, Ser. D, 49, 1111-1120.

3. Ding, R. Q., and J. P. Li, 2007: Nonlinear finite-time Lyapunov exponent and predictability. Phys. Lett. A, 364, 396-400.

4. Ding, R. Q., and J. P. Li, 2011: Comparisons of two ensemble mean methods in measuring the average error growth and the predictability. Acta. Meteor. Sin., 25, 395-404.

5. Ding, R. Q., J. P. Li, and K.-J. Ha, 2008a: Trends and interdecadal changes of weather predictability during 1950s-1990s. J. Geophys. Res., 113, D24112, doi:10.1029/2008JD010404.