Preprints
https://doi.org/10.5194/egusphere-2024-400
https://doi.org/10.5194/egusphere-2024-400
27 Feb 2024
 | 27 Feb 2024

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

Yasir Latif, Kaiyu Fan, Geli Wang, and Milan Palus

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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yasir Latif, Kaiyu Fan, Geli Wang, and Milan Palus

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-400', Anonymous Referee #1, 22 Mar 2024
    • AC2: 'Reply on RC1', Milan Palus, 23 May 2024
  • RC2: 'Comment on egusphere-2024-400', Anonymous Referee #2, 26 Mar 2024
    • AC1: 'Reply on RC2', Milan Palus, 23 May 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-400', Anonymous Referee #1, 22 Mar 2024
    • AC2: 'Reply on RC1', Milan Palus, 23 May 2024
  • RC2: 'Comment on egusphere-2024-400', Anonymous Referee #2, 26 Mar 2024
    • AC1: 'Reply on RC2', Milan Palus, 23 May 2024
Yasir Latif, Kaiyu Fan, Geli Wang, and Milan Palus
Yasir Latif, Kaiyu Fan, Geli Wang, and Milan Palus

Viewed

Total article views: 454 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
321 100 33 454 25 23
  • HTML: 321
  • PDF: 100
  • XML: 33
  • Total: 454
  • BibTeX: 25
  • EndNote: 23
Views and downloads (calculated since 27 Feb 2024)
Cumulative views and downloads (calculated since 27 Feb 2024)

Viewed (geographical distribution)

Total article views: 452 (including HTML, PDF, and XML) Thereof 452 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Nov 2024
Download
Precipitation predictability is a complex subject, given the spatiotemporal complexity of the relevant mechanisms and interactions. This paper provides a clear and relevant contribution on the topic of precipitation predictability, grounded in causal inference approaches. Although the focus of the study is regional, the methodology is flexible and can serve as working example for guiding further research on the topic in other geographical domains.
Short summary
El Niño – Southern Oscillation (ENSO) is a gigantic natural orchestra playing with temperature of Pacific waters and influencing air temperature and rainfall worldwide. Naturally, the “loudness” or amplitude of ENSO has effects on climate, however, also consonance of its various tones, or phases of different ENSO oscillatory components exert causal effects on rainfall in some areas in China. In different regions different aspects of ENSO dynamics can predict rainfall amounts.