Contribution of intraseasonal variability to uncertainty in simulating seasonal activity of Northwest Pacific tropical cyclones as demonstrated using 1998

Ruifen Zhan 1Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, CMA-FDU Joint Laboratory of Marine Meteorology, China

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Jiuwei Zhao 2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Institute of Climate and Application Research (ICAR), Nanjing University of Information Science & Technology (NUIST), China

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https://orcid.org/0000-0001-9146-7500
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Yuqing Wang 3Department of Atmospheric Sciences and International Pacific Research Center, School of Ocean and Earth Science and Technology, Hawaii University at Manoa, USA

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Daehyun Kim 4School of Earth and Environmental Sciences, Seoul National University, Korea

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Jong-Seong Kug 4School of Earth and Environmental Sciences, Seoul National University, Korea

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Chao Liu 5Irreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea

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Yingxia Gao 6School of Ecology and Environment; Inner Mongolia University, China

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Abstract

What causes the uncertainty in simulations of seasonal tropical cyclone (TC) activity remains unclear. Here, we uncovered the important contribution of intraseasonal variability to the uncertainty in simulating TC genesis frequency (TCGF) over the western North Pacific (WNP). This is demonstrated by analyzing 50-member ensemble simulations for the period June–November in 1998 using a high-resolution regional climate model. The uncertainty spans from +1 to −1.75 standard deviations (STDs), considerably larger than the observed deviation of −1.5 STDs. The uncertainty in simulations stems from two atmospheric dynamic modes, namely the Monopole and Dipole modes. The Monopole mode is characterized by a basin-uniform anomalous circulation pattern and controls TC genesis over the whole WNP, while the Dipole mode is marked by a zonal dipole of circulation anomalies and redistributes TC genesis locations among the ensemble members. Both modes are dominated by the intraseasonal variability, accounting for over 62% of the total uncertainty in the simulated TCGF. The intraseasonal variability observed over the WNP in 1998 was relatively weak, leading to significant uncertainty in simulating intraseasonal variability east of the Philippines among the ensemble members, which in turn caused uncertainty in the simulation of TCGF. By conditionally constraining the intensity of intraseasonal variability, we can significantly reduce model uncertainties in simulating TCGF. The finding provides new insights into understanding the simulation uncertainty and predictability of seasonal TC activity over the WNP.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

*Corresponding author: Dr. Jiuwei Zhao School of Atmospheric Sciences, Nanjing University of Information Science and Technology. Email: jiuwei@nuist.edu.cn

Abstract

What causes the uncertainty in simulations of seasonal tropical cyclone (TC) activity remains unclear. Here, we uncovered the important contribution of intraseasonal variability to the uncertainty in simulating TC genesis frequency (TCGF) over the western North Pacific (WNP). This is demonstrated by analyzing 50-member ensemble simulations for the period June–November in 1998 using a high-resolution regional climate model. The uncertainty spans from +1 to −1.75 standard deviations (STDs), considerably larger than the observed deviation of −1.5 STDs. The uncertainty in simulations stems from two atmospheric dynamic modes, namely the Monopole and Dipole modes. The Monopole mode is characterized by a basin-uniform anomalous circulation pattern and controls TC genesis over the whole WNP, while the Dipole mode is marked by a zonal dipole of circulation anomalies and redistributes TC genesis locations among the ensemble members. Both modes are dominated by the intraseasonal variability, accounting for over 62% of the total uncertainty in the simulated TCGF. The intraseasonal variability observed over the WNP in 1998 was relatively weak, leading to significant uncertainty in simulating intraseasonal variability east of the Philippines among the ensemble members, which in turn caused uncertainty in the simulation of TCGF. By conditionally constraining the intensity of intraseasonal variability, we can significantly reduce model uncertainties in simulating TCGF. The finding provides new insights into understanding the simulation uncertainty and predictability of seasonal TC activity over the WNP.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

*Corresponding author: Dr. Jiuwei Zhao School of Atmospheric Sciences, Nanjing University of Information Science and Technology. Email: jiuwei@nuist.edu.cn
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