Contributions of Soil Moisture and Vegetation on Surface-Air Temperature Difference during the Rapid Warming Period

Yanru Yu, Shibo Fang (), Wen Zhuo and Jiahao Han
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Yanru Yu: State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Shibo Fang: State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Wen Zhuo: State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Jiahao Han: State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China

Agriculture, 2024, vol. 14, issue 7, 1-17

Abstract: The difference ( DIF ) between land surface temperature ( Ts ) and near surface air temperature ( Ta ) is the key indicator of the energy budget of the land surface, which has a more complex process than the individual Ts or Ta . However, the spatiotemporal variations and influencing factors of DIF remain incomplete. The contribution of vegetation and soil moisture (SM) as key driving factors to DIF is not yet clear. Here, we analyzed the spatiotemporal variation patterns of DIF in China from 2011 to 2023 using in situ Ts and Ta data. A convergent cross-mapping method was employed to explore the causal relationship between SM, NDVI and DIF , and subsequently calculated the contribution of NDVI and SM variations to DIF under different climatic backgrounds. The results indicate that during the study period, DIF values were all above 0 °C and showed a significant increasing trend with a national mean slope of 0.02 °C/a. In general, vegetation and SM have a driving effect on DIF , with vegetation contributing more to DIF (0.11) than SM (0.08) under different surface properties. The background values of SM and temperature have a significant effect on the spatial and temporal distribution of DIF , as well as the correlation of vegetation and soil moisture to DIF . The study outcomes contribute to a better understanding of the coupling relationship between the land surface and atmosphere, which are also crucial for addressing climate change and ecological environmental management.

Keywords: surface–air temperature difference; soil moisture; NDVI; contribution (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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