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Moisture sources of a torrential rainfall event in the arid region of East Xinjiang, China, based on a Lagrangian model

Author

Listed:
  • Junqiang Yao

    (China Meteorological Administration
    Center for Central Asian Atmosphere Science Research)

  • Moyan Li

    (China Meteorological Administration
    Center for Central Asian Atmosphere Science Research)

  • Qing Yang

    (China Meteorological Administration
    Center for Central Asian Atmosphere Science Research)

Abstract

Moisture sources and transport paths for precipitation are of primary importance for forecasts and early warning, but are rarely studied in the arid region of China. Our study employed the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model to investigate and quantify the moisture sources which contributed to a torrential rainfall event on 15–18 July 2007 in the arid Xinjiang region in China. Based on the distribution of torrential rains, the target study region was selected at East Xinjiang (35°N–45°N, 80°E–95°E). The results indicate that moisture sources originating from the south, west, and north branches, and moisture sources in the Atlantic Oceans and Central Asia regions contributed to the East Xinjiang rain event by 37 and 44%, respectively. Our findings match those from diagnostic results of an Eulerian framework model, but the HYSPLIT model provided better quantitative and objective results.

Suggested Citation

  • Junqiang Yao & Moyan Li & Qing Yang, 2018. "Moisture sources of a torrential rainfall event in the arid region of East Xinjiang, China, based on a Lagrangian model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 183-195, November.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:1:d:10.1007_s11069-018-3386-9
    DOI: 10.1007/s11069-018-3386-9
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    References listed on IDEAS

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    1. L Liu & Z. Xu, 2016. "Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1195-1211, January.
    2. Dong-dong Zhang & Deng-hua Yan & Yi-Cheng Wang & Fan Lu & Shao-hua Liu, 2015. "GAMLSS-based nonstationary modeling of extreme precipitation in Beijing–Tianjin–Hebei region of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1037-1053, June.
    3. Minzhong Wang & Quan Ren & Yan Geng & Yanhong Chai, 2017. "Application of radar wind profiler data in analyzing the process of torrential rains in Urumqi Xinjiang, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1677-1690, September.
    4. Hong Du & Jun Xia & Sidong Zeng, 2014. "Regional frequency analysis of extreme precipitation and its spatio-temporal characteristics in the Huai River Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 195-215, January.
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    Cited by:

    1. Xuan Liu & Mingxiang Yang & Hao Wang & Ke Liu & Ningpeng Dong & Hejia Wang & Limin Zhang & Wen Fan, 2023. "Moisture sources and atmospheric circulation associated with the record-breaking rainstorm over Zhengzhou city in July 2021," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 817-836, March.

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