Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China

被引:16
作者
Wei, Shangguan [1 ]
Zhang, Ruqing [1 ]
Li, Lu [1 ]
Zhang, Shulei [1 ]
Zhang, Ye [1 ]
Huang, Feini [1 ]
Li, Jianduo [2 ]
Liu, Wei [3 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[3] Guangdong Climate Ctr, Guangzhou 510275, Peoples R China
基金
国家重点研发计划;
关键词
agricultural drought; ERA5-Land; China Land Data Assimilation System; drought characteristics; soil water deficit index; SATELLITE; INDEX; PRODUCTS; DEFICIT;
D O I
10.3390/land11040502
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate assessment of agricultural drought is useful for ecosystem services. This is a successive work of our previous study that assessed agricultural drought using the soil water deficit index (SWDI) based on ERA5-Land in the four southern provinces of China from 2017 to 2019. Firstly, in addition to ERA5-Land, the suitability of CLDAS (China Land Data Assimilation System) soil moisture for drought assessment was investigated. Then, the study was extended with more comprehensive analysis and a much longer period (1981-2020). Based on three climate zones, in situ soil moisture was used for evaluation of both reanalysis datasets and agricultural drought. It was found that ERA5-Land SWDI and CLDAS SWDI have a good correlation with the in situ SWDI. ERA5-Land and CLDAS demonstrate some differences in representing agricultural drought but have a similar performance evaluated by in situ soil moisture. Droughts from 2001 to 2010 were more serious than in the other three decades, and droughts have become longer and severer in some areas in the last 40 years. There was a good correlation between agricultural drought and meteorological drought. Our work offers important insights for agricultural drought risk management in the four southern provinces of China.
引用
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页数:16
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