4.7 Article

Evaluation and Future Projection of Chinese Precipitation Extremes Using Large Ensemble High-Resolution Climate Simulations

Journal

JOURNAL OF CLIMATE
Volume 32, Issue 8, Pages 2169-2183

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-18-0465.1

Keywords

Atmosphere; Climate variability; Climate models; Annual variations

Funding

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19030204]
  2. National Natural Science Foundation of China [41501552]
  3. Natural Science Foundation of Jiangsu Province [BK20161612]
  4. Thousand Youth Talents plan of China
  5. CAS Pioneer Hundred Talents Program

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Evaluation of Chinese precipitation extremes is conducted based on large ensemble projections of the present climate and 4-K-warmer climates derived from a high-resolution atmospheric general circulation model. The model reproduced the overall trend and magnitude of total precipitation and extreme precipitation events for China reasonably well, revealing that this dataset can represent localized precipitation extremes. Precipitation extremes are more frequent and more severe in future projections under 4-K-warmer climates than in the representative concentration pathway 8.5 (RCP8.5) scenario of phase 5 of the Coupled Model Intercomparison Project (CMIP5). Our results show that using a large-ensemble simulation can improve the ability to estimate with high precision both the precipitation mean and the precipitation extremes compared with small numbers of simulations, and the averaged maximum yearly precipitation will be likely to increase by approximately 18% under a +4-K future in southern China compared with the past. Finally, uncertainty evaluation in future precipitation projections indicates that the component caused by the difference in six SST patterns is more important in southern China compared with the component due to the atmospheric internal variability. All these results could provide valuable insights in simulating and predicting precipitation extremes in China.

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