Chemical weathering evidence for East Asian Summer Monsoon rainfall variability in the upper reaches of the Yellow River since the Early Pleistocene

Li, Baofeng; Feng, Qi; Wang, Fei; Li, Zaijun; Wang, Xin; Li, Ruolin; Chen, Wei-Yu

doi:10.1016/j.palaeo.2023.111523

Cited by 2 publications

(2 citation statements)

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“…with the EASM (Li et al, 2023b). Precipitation is the primary factor influencing agricultural and economic development in YZRB (Lijuan et al, 2018).…”

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confidence: 99%

“…Climate change poses a severe threat to China's water security, as extreme precipitation events become more frequent, such as high precipitation events in Beijing in 2012, and more recently in Henan in 2021, which resulted in billions of dollars in economic losses (Mingzhong et al, 2017;Li et al, 2019;Xie et al, 2015;Hsu et al, 2022). The long-term patterns in EASM rainfall in the Yellow River Basin (YWRB) were driven by variations in air circulation over the Pacific Ocean, such as the ENSO cycle and the Pacific Decadal Oscillation (PDO) phase transition, which may thrive as measurable factors in the prediction of future EASM rainfall (Li et al, 2023a). The links between extreme precipitation and ENSO depend on magnitude, regions, and seasons (Wei et al, 2012).…”

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confidence: 99%

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Cross-scale causal information flow from El Niño Southern Oscillation to precipitation in eastern China

Latif,

Fan,

Wang

et al. 2024

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Abstract. The El Niño/Southern Oscillation (ENSO) is a dominant mode of climate variability influencing temperature and precipitation in distant parts of the world. Traditionally, the ENSO influence is assessed considering its amplitude. Focusing on its quasioscillatory dynamics comprising multiple time scales, we analyze causal influence of phases of ENSO oscillatory components on scales of precipitation variability in eastern China, using information-theoretic generalization of Granger causality. We uncover the causal influence of the ENSO quasibiennial component on the precipitation variability on and around the annual scale, while the amplitude of the precipitation quasibiennial component is influenced by the low-frequency ENSO components with the periods around 6 years. This cross-scale causal information flow is important mainly in the Yellow River basin, while in the Yangtze River basin the causal effect of the ENSO amplitude is dominant. The presented results suggest that in different regions different aspects of ENSO dynamics should be employed for prediction of precipitation.

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“…with the EASM (Li et al, 2023b). Precipitation is the primary factor influencing agricultural and economic development in YZRB (Lijuan et al, 2018).…”

mentioning

confidence: 99%