S2S prediction in GFDL SPEAR: MJO diversity and teleconnections

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 days). The slow-propagating MJO detours southward when traversing the Maritime Continent (MC), and confronts the MC prediction barrier in the model, while the fast-propagating MJO moves across the central MC without this prediction barrier. The MJO diversity is modulated by stratospheric quasi-biennial oscillation (QBO): the standing (slow-propagating) MJO coincides with significant westerly (easterly) phases of QBO, partially explaining the contrasting MJO prediction skill between these two QBO phases. The SPEAR model shows its capability, beyond the propagation, in predicting their initiation for different types of MJO along with discrete precursory convection anomalies. The SPEAR model skillfully predicts the observed distinct teleconnections over the North Pacific and North America related to the standing, jumping, and fast-propagating MJO, but not the slow-propagating MJO. These findings highlight the complexities and challenges of incorporating MJO prediction into the operational prediction of meteorological variables.

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Author Xiang, Baoqiang
Harris, Lucas
Delworth, Thomas L.
Wang, Bin
Chen, Guosen
Chen, Jan-Huey
Clark, Spencer K.
Cooke, William F.
Gao, Kun
Huff, J. Jacob
Jia, Liwei
Johnson, Nathaniel C.
Kapnick, Sarah B.
Lu, Feiyu
McHugh, Colleen
Sun, Yongqiang
Tong, Mingjing
Yang, Xiaosong
Zeng, Fanrong
Zhao, Ming
Zhou, Linjiong
Zhou, Xiaqiong
Publisher UCAR/NCAR - Library
Publication Date 2022-02-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:36:45.670236
Metadata Record Identifier edu.ucar.opensky::articles:25495
Metadata Language eng; USA
Suggested Citation Xiang, Baoqiang, Harris, Lucas, Delworth, Thomas L., Wang, Bin, Chen, Guosen, Chen, Jan-Huey, Clark, Spencer K., Cooke, William F., Gao, Kun, Huff, J. Jacob, Jia, Liwei, Johnson, Nathaniel C., Kapnick, Sarah B., Lu, Feiyu, McHugh, Colleen, Sun, Yongqiang, Tong, Mingjing, Yang, Xiaosong, Zeng, Fanrong, Zhao, Ming, Zhou, Linjiong, Zhou, Xiaqiong. (2022). S2S prediction in GFDL SPEAR: MJO diversity and teleconnections. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7z03cw5. Accessed 30 June 2025.

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