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

Latif, Yasir; Fan, Kaiyu; Wang, Geli; Paluš, Milan

doi:https://doi.org/10.5194/esd-15-1509-2024

Articles | Volume 15, issue 6

https://doi.org/10.5194/esd-15-1509-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-15-1509-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Research article

| Highlight paper

|

28 Nov 2024

Research article | Highlight paper |

| 28 Nov 2024

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

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

Data sets

ERA5 monthly averaged data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.f17050d7

Global analyses of Sea Surface Temperature, sea ice, and night marine air temperature since the late nineteenth century (https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/nino34.long.data) N. A. Rayner et al. https://doi.org/10.1029/2002JD002670

Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons (https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php) B. Huang et al. https://doi.org/10.1175/JCLI-D-16-0836.1

Chief editor

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.