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

Journal Article · Sun Jul 01 00:00:00 EDT 2012 · Atmospheric Science Letters

DOI:https://doi.org/10.1002/asl.378· OSTI ID:1165821

Sperber, Kenneth R. ^[1]; Kim, Daehyun ^[2]

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1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
2. Columbia Univ., New York, NY (United States)

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.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: DE-AC52-07NA27344
• OSTI ID: 1165821
• Journal Information: Atmospheric Science Letters, Vol. 13, Issue 3; ISSN 1530-261X
• Publisher: Royal Meteorological Society
• Country of Publication: United States
• Language: English

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58 GEOSCIENCES