0602779 - ÚI 2025 RIV DE eng J - Journal Article
Latif, Yasir - Fan, K. - Wang, G. - Paluš, Milan
Cross-scale causal information flow from the El Niño–Southern Oscillation to precipitation in eastern China.
Earth System Dynamics. Roč. 15, č. 6 (2024), s. 1509-1526. ISSN 2190-4979. E-ISSN 2190-4987
Grant - others:AV ČR(CZ) NSFC-23-08; AV ČR(CZ) AP1901
Program: Bilaterální spolupráce; Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : ENSO * precipitation amplitude * cross-scale causality * Granger causality * Yellow River Basin * Yangtze River basin
OECD category: Climatic research
Impact factor: 7.9, year: 2023 ; AIS: 2.608, rok: 2023
Method of publishing: Open access
Result website:
https://doi.org/10.5194/esd-15-1509-2024DOI: https://doi.org/10.5194/esd-15-1509-2024

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 quasi-oscillatory dynamics comprising multiple timescales, we analyze the 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 quasi-biennial component on the precipitation variability on and around the annual scale, while the amplitude of the precipitation quasi-biennial component is influenced by the low-frequency ENSO components with periods of around 6 years. This cross-scale causal information flow is important mainly in the Yellow River basin (YWRB), while in the Yangtze River basin (YZRB) 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.
Permanent Link: https://hdl.handle.net/11104/0360093
Research data: Assets - Publishers website