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Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China

Author

Listed:
  • Ruqing Zhang

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Lu Li

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Ye Zhang

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Feini Huang

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Jianduo Li

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 10081, China)

  • Wei Liu

    (Guangdong Climate Center, Guangzhou 510275, China)

  • Taoning Mao

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Zili Xiong

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

  • Wei Shangguan

    (Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

It is important to accurately assess agricultural drought because of its harmful impacts on the ecosystem and economy. Soil moisture reanalysis datasets provide an important way to assess agricultural drought. In this study, the ERA5-Land surface and subsurface soil moisture was used to estimate the soil water deficit index (SWDI) in four southern provinces of China. The ERA5-Land dataset was evaluated with in situ soil moisture observations from agrometeorological stations. Agricultural drought was assessed for three climate zones at a weekly scale from 2017 to 2019 and was compared with the atmospheric water deficit (AWD). It was found that both ERA5-Land soil moisture and the derived SWDI have relatively high accuracy, and the wet bias in the ERA5-Land dataset can be reduced by the calculation of the SWDI. The subsurface layer has better performance than the surface layer in drought monitoring, though they are highly correlated. Different climate zones demonstrate different drought periods and drought severity, and the temperate climate zone with no dry season has less droughts. The most severe droughts with the largest spatial extent occurred in the early winter, especially in 2019. Differences in the SWDI and AWD are mainly shown in southwestern Yunnan. The results of this study have important reference values for drought risk management.

Suggested Citation

  • Ruqing Zhang & Lu Li & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu & Taoning Mao & Zili Xiong & Wei Shangguan, 2021. "Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China," Agriculture, MDPI, vol. 11(5), pages 1-19, May.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:5:p:411-:d:548208
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    References listed on IDEAS

    as
    1. Dong-Dong Zhang & Deng-Hua Yan & Fan Lu & Yi-Cheng Wang & Jing Feng, 2015. "Copula-based risk assessment of drought in Yunnan province, 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. 75(3), pages 2199-2220, February.
    2. Huang, Shengzhi & Huang, Qiang & Chang, Jianxia & Leng, Guoyong & Xing, Li, 2015. "The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 45-54.
    3. Chun-Ling Liu & Qiang Zhang & Vijay Singh & Ying Cui, 2011. "Copula-based evaluations of drought variations in Guangdong, South 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. 59(3), pages 1533-1546, December.
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    Cited by:

    1. Jing, Lanshu & Weng, Baisha & Yan, Denghua & Yuan, Fei & Zhang, Shanjun & Bi, Wuxia & Yan, Siying, 2023. "Assessment of resilience in maize suitable planting areas under drought stress," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Wei Shangguan & Ruqing Zhang & Lu Li & Shulei Zhang & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu, 2022. "Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China," Land, MDPI, vol. 11(4), pages 1-16, March.

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