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Li‑Huan Hsu,Yi‑chao Wu,Chou‑Chun Chiang,Jung‑Lien Chu,Yi‑Chiang Yu,An‑Hsiang Wang,Ben Jong‑Dao Jou 한국기상학회 2023 Asia-Pacific Journal of Atmospheric Sciences Vol.59 No.2
This study sought to assess the interdecadal and interannual variability of autumn extreme rainfall (ER) in Taiwan from 1979to 2019. Three types of ER events were identified based on a clustering analysis augmented by a deep autoencoder-basedneural network model. This method outperforms other methods in obtaining the optimal number of clusters by extractingthe synoptic features in advance. The patterns associated with these three types include a tropical cyclone covering Taiwan(TC), a TC-like circulation in the South China Sea (SCS) accompanied by northeasterly near northern Taiwan (TC-NE), andnortheasterly near northern Taiwan (NE). The differences in the rainfall pattern caused by the three types were discernableover Taiwan. How the PDO or ENSO modulates the regional large-scale environment to favor the occurrence of these ERevents was investigated. The occurrence of TC-NE events was simultaneously correlated with the negative phases of PDO/ENSO in the interdecadal/interannual scale. In the negative phases of PDO/ENSO, a low-level anomalous cyclone overSCS accompanied by background northeasterly favored the regional TC activities and may cause more TC-NE events. Theoccurrence of NE events is simultaneously correlated with the cold phase of ENSO. An anomalous low-level anticyclone inNortheast Asia strengthened the northeasterly toward northern Taiwan, and with the seasonal background moisture, providedfavorable conditions for the occurrence of the NE events. Overall, the occurrence of the TC events did not correlate with thePDO or ENSO signals; the reasons for the lack of correlation were discussed herein.