Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-5717-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5717-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2021
Research article |
| 08 Nov 2021
| 08 Nov 2021
Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach
Tongtiegang Zhao
CORRESPONDING AUTHOR
Center of Water Resources and Environment, Southern Marine Science
and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering,
Sun Yat-Sen University, Guangzhou, China
Haoling Chen
Center of Water Resources and Environment, Southern Marine Science
and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering,
Sun Yat-Sen University, Guangzhou, China
Quanxi Shao
CSIRO Data61, Australian Resources Research Centre, Bentley, WA,
Australia
Tongbi Tu
Center of Water Resources and Environment, Southern Marine Science
and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering,
Sun Yat-Sen University, Guangzhou, China
Yu Tian
Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, China
Xiaohong Chen
Center of Water Resources and Environment, Southern Marine Science
and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering,
Sun Yat-Sen University, Guangzhou, China
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Short summary
This paper develops a novel approach to attributing correlation skill of dynamical GCM forecasts to statistical El Niño–Southern Oscillation (ENSO) teleconnection using the coefficient of determination. Three cases of attribution are effectively facilitated, which are significantly positive anomaly correlation attributable to positive ENSO teleconnection, attributable to negative ENSO teleconnection and not attributable to ENSO teleconnection.
This paper develops a novel approach to attributing correlation skill of dynamical GCM forecasts...
