Abstract
Long-lasting inactive and active multiple tropical cyclone (MTC) events in the western North Pacific (WNP) during July–August 1982–2020 were investigated. It is found that the significant difference between the inactive and active events lies on large-scale circulation conditions and tropical SST anomalies in the Pacific and Indian Ocean. A negative phase of the Pacific Meridional Mode (PMM), an Indian ocean warming and a local suppressed convective phase are associated with the long-lasting inactive MTC events, and vice versa. A further diagnosis of the environmental parameters showed that dynamic parameters such as mid-level vertical motion and the upper-level divergence and thermodynamic parameters such as vertically integrated water vapor content and low-level specific humidity play important roles in regulating the inactive and active MTC events. A separation of interannual and intraseasonal components indicates that the extreme MTC events are influenced by both the timescale motions. While the former is primarily through the SSTA-induced low-level anticyclonic and descent anomalies, the latter is via the fluctuation of the boreal summer atmospheric intraseasonal oscillation.
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Data availability
All the dataset adopted in this study can be accessed online via the following URL. The NCEP-NOAA reanalysis data: downloaded from ftp://cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs. The daily OLR data from NOAA: downloads.psl.noaa.gov/Datasets/interp_OLR/. The daily SST data: ftp://ftp.cdc.noaa.gov/Datasets/noaa.oisst.v2.highres. ERA5 daily precipitation data: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5. The best-track data from JTWC: https://www.metoc.navy.mil/jtwc/jtwc.html?western-pacific.
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This work was jointly supported by the National Natural Science Foundation of China (42088101, 42205048) and the Natural Science Foundation of Fujian Province of China (2022J011077).
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Chen, L., Gao, J. & Li, T. Formation of long-lasting inactive and active multiple tropical cyclone events in the western North Pacific. Clim Dyn (2024). https://doi.org/10.1007/s00382-024-07101-9
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DOI: https://doi.org/10.1007/s00382-024-07101-9