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Open AccessArticle
Intermember Simulation Uncertainty in North Pacific Tropical Cyclone Genesis Frequency Under the Influence of the Interdecadal Pacific Oscillation at Decadal-Scale
by
Jianing Li
Jianing Li 1,
Zhen Wang
Zhen Wang 1,*
,
Jiuwei Zhao
Jiuwei Zhao 1,
Leying Zhang
Leying Zhang 2 and
Yue Li
Yue Li 1
1
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China
*
Author to whom correspondence should be addressed.
Atmosphere 2026, 17(6), 604; https://doi.org/10.3390/atmos17060604 (registering DOI)
Submission received: 16 April 2026
/
Revised: 3 June 2026
/
Accepted: 5 June 2026
/
Published: 12 June 2026
Abstract
Substantial uncertainties remain in climate model simulations of tropical cyclones (TCs), particularly those associated with internal climate variability. While the influence of the El Niño–Southern Oscillation (ENSO) on interannual TC variability is well established, the contribution of the Interdecadal Pacific Oscillation (IPO) to decadal-scale uncertainty is less well constrained. Although models generally reproduce IPO-related variations in tropical cyclone genesis frequency (TCGF) over the eastern North Pacific, large discrepancies persist across the broader North Pacific basin. Clarifying the role of IPO in modulating TCGF uncertainty is therefore essential for improving decadal TC projections. In this study, we analyzed a large ensemble of historical simulations from the MRI-AGCM within the d4PDF (Database for Policy Decision Making for Future Climate Change) framework. Empirical orthogonal function (EOF) analysis is applied to IPO-composited fields to identify the leading modes of intermember (100 members *60 y, 6000 times) simulation uncertainty on a decadal-scale. The results reveal that state-of-the-art models exhibit robust and spatially coherent uncertainty structures in TCGF under different IPO phases. Two leading modes are identified: (1) a South China Sea mode, closely associated with systematic precipitation biases, and (2) a zonal dipole mode between the eastern and western North Pacific, linked to the equatorward propagation of Arctic Oscillation (AO)-related variability. Misrepresentation of AO variability is found to contribute substantially to biases in simulated TCGF patterns. Comparisons with observational datasets further support the proposed mechanisms. These findings highlight the importance of improving the representation of precipitation processes and extratropical–tropical teleconnections in climate models, which is critical for enhancing the reliability of decadal predictions of North Pacific TC activity.
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MDPI and ACS Style
Li, J.; Wang, Z.; Zhao, J.; Zhang, L.; Li, Y.
Intermember Simulation Uncertainty in North Pacific Tropical Cyclone Genesis Frequency Under the Influence of the Interdecadal Pacific Oscillation at Decadal-Scale. Atmosphere 2026, 17, 604.
https://doi.org/10.3390/atmos17060604
AMA Style
Li J, Wang Z, Zhao J, Zhang L, Li Y.
Intermember Simulation Uncertainty in North Pacific Tropical Cyclone Genesis Frequency Under the Influence of the Interdecadal Pacific Oscillation at Decadal-Scale. Atmosphere. 2026; 17(6):604.
https://doi.org/10.3390/atmos17060604
Chicago/Turabian Style
Li, Jianing, Zhen Wang, Jiuwei Zhao, Leying Zhang, and Yue Li.
2026. "Intermember Simulation Uncertainty in North Pacific Tropical Cyclone Genesis Frequency Under the Influence of the Interdecadal Pacific Oscillation at Decadal-Scale" Atmosphere 17, no. 6: 604.
https://doi.org/10.3390/atmos17060604
APA Style
Li, J., Wang, Z., Zhao, J., Zhang, L., & Li, Y.
(2026). Intermember Simulation Uncertainty in North Pacific Tropical Cyclone Genesis Frequency Under the Influence of the Interdecadal Pacific Oscillation at Decadal-Scale. Atmosphere, 17(6), 604.
https://doi.org/10.3390/atmos17060604
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