2023
DOI: 10.1007/s00382-023-06667-0
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Stage-dependent influence of PDO on interdecadal summer precipitation anomalies in eastern China

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Cited by 6 publications
(2 citation statements)
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“…Additionally, the PDO can influence the interdecadal summer precipitation over East China through teleconnection wave trains at mid-to-high latitudes along the Asian westerly waveguide. This influence is dependent on the stage evolution of the PDO and can be altered by the phase of Atlantic Multidecadal Oscillation 16,21,[23][24][25][26] . Furthermore, the PDO can also modulate the intensity of the westerly jet 18,27 and the Western North Pacific subtropical high 20 , thereby affecting the interdecadal summer precipitation in East China.However, it is important to note that internal climate variability factors like the PDO can also be influenced by external forcing factors, such as changes in greenhouse gas concentrations 9,[28][29][30][31][32][33][34] .…”
mentioning
confidence: 99%
“…Additionally, the PDO can influence the interdecadal summer precipitation over East China through teleconnection wave trains at mid-to-high latitudes along the Asian westerly waveguide. This influence is dependent on the stage evolution of the PDO and can be altered by the phase of Atlantic Multidecadal Oscillation 16,21,[23][24][25][26] . Furthermore, the PDO can also modulate the intensity of the westerly jet 18,27 and the Western North Pacific subtropical high 20 , thereby affecting the interdecadal summer precipitation in East China.However, it is important to note that internal climate variability factors like the PDO can also be influenced by external forcing factors, such as changes in greenhouse gas concentrations 9,[28][29][30][31][32][33][34] .…”
mentioning
confidence: 99%
“…Hence, several postprocessing approaches such as the quantile mapping (QM) (X. , the Bernoulli-Gamma-Gaussian model (Z. Huang et al, 2022) and the rainy day-based correction (Liu et al, 2023) have been utilized toward model output calibrations and to improve the S2S precipitation forecasts over SC and some other areas. Meanwhile, considering the dynamic backgrounds of precipitation, the inclusion of additional forecast variables into the postprocessing framework may also provide additional opportunities for improving S2S precipitation forecasts (Feng et al, 2022;L.…”
mentioning
confidence: 99%