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Difference of temperature distribution characteristics based on remote sensing and meteorological station temperature data

  • role： First author第一作者
  • Affiliation：

    College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China

    Shanxi Laboraory for Yellow River, Taiyuan 030006, China

  • Email：1124328832@qq.com
  • Introduction：王念，1997年生，女，硕士研究生，研究方向为生态遥感。E-mail： 1124328832@qq.com
WANG Nian12,  
  • Affiliation：

    College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China

    Shanxi Laboraory for Yellow River, Taiyuan 030006, China

LU Zhiyu12,  
  • Affiliation：

    College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China

    Shanxi Laboraory for Yellow River, Taiyuan 030006, China

XU Jianhong12,  
  • Affiliation：

    College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China

    Shanxi Laboraory for Yellow River, Taiyuan 030006, China

ZHANG Hong12,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China

    Shanxi Laboraory for Yellow River, Taiyuan 030006, China

  • Email：zhang_xyhz@sxu.edu.cn
  • Introduction：张霄羽，1973年生，女，教授，研究方向为热红外遥感。E-mail：zhang_xyhz@sxu.edu.cn
ZHANG Xiaoyu12*

Resümee

Land Surface Temperature (LST) and Air Temperature (AT) are important parameters of land-atmosphere interaction system. In the process of land-atmosphere interaction, Water Vapor Content (WVC), NDVI index, carbon dioxide concentration and other factors will have great impact on land-atmosphere heat transfer. Therefore, we investigate the spatiotemporal variation trend of annual maximum of LST(AMLST) and annual maximum of AT(AMAT) from different data source including remote sensing and meteorological station in China in recent 20 years.The trend analysis method is used to analyze the spatiotemporal variation trend of AMLST and AMAT from 2003 to 2018. Combined with the annual maximum of WVC(AMWVC) and NDVI index, the driving factors leading to the variation of AMLST and AMAT were analyzed.The results showed that: (1) The spatial distribution characteristics of AMLST in China from 2003 to 2018 is higher in the north and lower in the south, and the highest AMLST appears in Turpan Basin, Xinjiang. The spatial distribution of AMAT in China is higher in the south and lower in the north. In virtue of interaction between AMWVC and AMAT, the two impact factors appear a certain coincident characteristics. (2) During the period of 2003-2018, the spatial distribution of climate inclination rate of AMLST is higher in the north and lower in the south, the AMAT climate inclination rate have the same characteristics with AMLST. From the perspective of variation range, the AMLST is larger than that of AMAT. But it is inconsonant in Tianshan Mountains, Sanjiang Plain and the south side of Qinling Mountains. (3) The increase in AMWVC makes the AMAT rise, while the increase of vegetation coverage can decrease the AMLST. In the Tianshan area, the response of AMLST-AMAT interaction system to the AMWVC is not obvious, but the relationship between AMAT and the growth rate of carbon dioxide concentration is obvious. (4) The spatial distribution of the AMLST retrieved from remote sensing data is different from that observed by stations, but the temporal variation trend is basically the same.

Schlüsselwort

annual maximum surface temperature;annual maximum air surface temperature;water vapor content;NDVI index;climate tendency rate

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