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Simplified metrics for the identification of the Madden-Julian oscillation in models

Cited 33 time in Web of Science Cited 35 time in Scopus
Authors

Sperber, Kenneth R.; Kim, Daehyun

Issue Date
2012-07
Publisher
John Wiley & Sons Inc.
Citation
Atmospheric Science Letters, Vol.13 No.3, pp.187-193
Abstract
We propose simplified metrics to evaluate the fidelity with which the Madden-Julian oscillation (MJO) is simulated in climate models. These metrics are based on lag correlation analysis of principal component time series (PCs). The PCs are obtained by projecting simulated 20-100 day bandpass filtered daily outgoing longwave radiation onto the two leading empirical orthogonal functions of observed MJO variability. The simplified MJO metrics, the maximum positive correlation and time lag at which it occurs, provide consistent information relative to more complex diagnostics developed by the Madden-Julian Oscillation Working Group (CLIVAR MJOWG) and by Kim et al. © 2012 Royal Meteorological Society.
ISSN
1530-261X
URI
https://hdl.handle.net/10371/201015
DOI
https://doi.org/10.1002/asl.378
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  • College of Natural Sciences
  • Department of Earth and Environmental Sciences
Research Area Climate Change, Earth & Environmental Data, Severe Weather, 기후과학, 위험기상, 지구환경 데이터과학

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