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Journal ArticleOpen Access

S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections

Author Affiliations
NOAA Geophysical Fluid Dynamics Laboratory, University Corporation for Atmospheric Research, University of Hawaiʻi at Mānoa, University of Hawaii System, ...
Published InBulletin of the American Meteorological Society
Year2021
Citations65

Abstract

Abstract A subseasonal-to-seasonal (S2S) prediction system was recently developed using the GFDL Seamless System for Prediction and Earth System Research (SPEAR) global coupled model. Based on 20-yr hindcast results (2000–19), the boreal wintertime (November–April) Madden–Julian oscillation (MJO) prediction skill is revealed to reach 30 days measured before the anomaly correlation coefficient of the real-time multivariate (RMM) index drops to 0.5. However, when the MJO is partitioned into four distinct propagation patterns, the prediction range extends to 38, 31, and 31 days for the fast-propagating, slow-propagating, and jumping MJO patterns, respectively, but falls to 23 days for the standing MJO. A further improvement of MJO prediction requires attention to the standing MJO given its large gap with its potential predictability (38…
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