Feedback dynamics between precipitation, temperature, and soil moisture in China and their possible driving mechanisms under a changing environment

Lin, Xue1; Huang, Shengzhi1; Li, Jianfeng2; Huang, Qiang1; Shi, Haiyun3; She, Dunxian4; Leng, Guoyong5; Wei, Xiaoting1; Guo, Wenwen1; Liu, Yongqiang1; Luo, Jing1

2023-10-01

10.1016/j.atmosres.2023.106983

ATMOSPHERIC RESEARCH   影响因子和分区

0169-8095

1873-2895

Complex mutual feedback relationships exist between hydrological and meteorological elements in hydrological cycle processes, which may show dynamic changes in a changing environment. Nevertheless, the feedback dy-namics between precipitation (P), temperature (T), and soil moisture (SM) and corresponding driving mecha-nisms remain unknown. And the mutual feedback types are different in space, the mutual feedback strength may change with time. To this end, the Granger causality test was adopted in this study to examine the feedback relationship between P, T, and SM in China. Then, the Sliding Window was used to explore the dynamic char-acteristics of their mutual feedback relationships. Finally, the Geographical Detector and Random Forest were applied to reveal their spatial and time dynamic driving forces, respectively. Results indicate: (1) generally, the feedback relationships among P, SM, and T are significant, in which the feedback relationship between P and SM is the most extensive in China; (2) the feedback strength between P, T, and SM generally show significant increasing trend, and different types of feedback relationship are different in spatial distribution. Specifically, the feedback strength between P and SM increased in the northwest and southwest of China; (3) the driving forces of the feedback relationships between P, T and SM were analyzed spatial driving forces, Evapotranspiration (ET) and P have strong driving effects, while Potential Evapotranspiration (PET), Wind speed (wind), and Leaf Area Index (LAI) have weaker driving effects, ET is the core hub of the mutual feedback relationship among multiple factors, and meteorological factors are the main driving factors for the time dynamic evolution of mutual feedback relationships between P, T, and SM, followed by circulation factors, and finally underlying surface factors. This study sheds new insights into hydrometeorological feedback, which will help improve under-standing of how extreme events such as droughts, heat waves and floods develop, thus being beneficial for their precise defense.

Climate changes Mutual feedback relationships Granger causality test Geographic detector Random forest Structural equation model

SCI ; EI

英语

其他

National Natural Science Foundation of China[52279026] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; National Key Research and Development Program of China[2021YFC3000203] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2021ZD12]

Meteorology & Atmospheric Sciences

Meteorology & Atmospheric Sciences

WOS:001077411000001

ELSEVIER SCIENCE INC

20233814769962

Climate change ; Climate models ; Dynamics ; Evapotranspiration ; Forestry ; Statistical tests ; Wind

Meteorology:443 ; Atmospheric Properties:443.1 ; Soils and Soil Mechanics:483.1 ; Agricultural Equipment and Methods; Vegetation and Pest Control:821 ; Mathematics:921 ; Mathematical Statistics:922.2

GEOSCIENCES

Web of Science

1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China
2.Hong Kong Baptist Univ, Dept Geog, Hong Kong, Peoples R China
3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen 518055, Peoples R China
4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
5.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

Lin, Xue,Huang, Shengzhi,Li, Jianfeng,et al. Feedback dynamics between precipitation, temperature, and soil moisture in China and their possible driving mechanisms under a changing environment[J]. ATMOSPHERIC RESEARCH,2023,294.

Lin, Xue.,Huang, Shengzhi.,Li, Jianfeng.,Huang, Qiang.,Shi, Haiyun.,...&Luo, Jing.(2023).Feedback dynamics between precipitation, temperature, and soil moisture in China and their possible driving mechanisms under a changing environment.ATMOSPHERIC RESEARCH,294.

Lin, Xue,et al."Feedback dynamics between precipitation, temperature, and soil moisture in China and their possible driving mechanisms under a changing environment".ATMOSPHERIC RESEARCH 294(2023).