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Investigating Extreme Snowfall Changes in China Based on an Ensemble of High-Resolution Regional Climate Models

Author

Listed:
  • Jinxin Zhu

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510055, China)

  • Xuerou Weng

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510055, China)

  • Bing Guo

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China)

  • Xueting Zeng

    (School of Labor Economics, Capital University of Economics and Business, Beijing 100070, China)

  • Cong Dong

    (Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S0A2, Canada)

Abstract

Anthropogenically induced global warming intensifies the water cycle around the world. As a critical sector of the water cycle, snow depth and its related extremes greatly impact agriculture, animal husbandry, and food security, yet lack investigation. In this study, five high-resolution climate models are selected to simulate and project snow depth and its extremes over China. The simulation capabilities of models in reproducing the basic climate variables in winter are gauged in terms of spatial and temporal patterns over nine subregions. It is found that the driving global climate model (GCM) can contribute to similar patterns, while the different regional climate model (RCM) schemes lead to large variations in the snowfall accumulating on the land surface. The warming magnitude is larger under a higher representative concentration pathway (RCP) scenario (2.5 °C greater under RCP8.5 than RCP4.5). The distribution of ensemble mean winter precipitation changes is more fragmented because of the relatively low skill in reproducing water-related content in the climate system. The projected precipitation change is larger under RCP8.5 than under RCP4.5 due to the amplification of the hydrological cycle by temperature warming. The projected changes in the ensemble mean snow depth mainly occur over the Tibetan Plateau with a decreasing trend. Only several grids over the Himalayas Mountains and the upper stream of the Yarlung Zangbo River are projected with a slight increase in snow depth. Both the intensity and frequency of extreme snow events are projected to increase in Northeast China and Inner Mongolia, which are important agricultural and animal husbandry production areas in China. The reason behind this projection can be explained by the fact that the hydrological cycle intensified by temperature warming leads to excessive snowfall stacking up during winter. The changes in extreme snowfall events in the future will have a significant impact on China’s agricultural and animal husbandry production and threaten food security.

Suggested Citation

  • Jinxin Zhu & Xuerou Weng & Bing Guo & Xueting Zeng & Cong Dong, 2023. "Investigating Extreme Snowfall Changes in China Based on an Ensemble of High-Resolution Regional Climate Models," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3878-:d:1075187
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    References listed on IDEAS

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