干旱区生态环境知识资源中心(Arid): The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation

Arid

DOI	10.1016/j.jag.2024.103811
	The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation
	Pan, Xin; Wang, Zhanchuan; Liu, Suyi; Yang, Zi; Guluzade, Rufat; Liu, Yuanbo; Yuan, Jie; Yang, Yingbao
通讯作者	Yang, YB
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	1569-8432
EISSN	1872-826X
出版年	2024
卷号	129
英文摘要	Remotely sensed land surface temperature (LST) is critical for retrieving evapotranspiration (ET). However, due to cloud contamination, LST is often limited to clear-sky conditions and the differences between clear-sky and all-sky LST will lead to clear-sky biases of LST. Consequently, the accuracy of ET varies drastically under different weather conditions. To evaluate the impact of clear-sky biases on ET estimation, the monthly ET under clear-sky and all-sky conditions was estimated using a nonparametric method at several sites with different humid conditions and vegetation coverage in 2014. 35.7 % of the clear-sky LST values were acquired in the arid region (Heihe River Basin) with different vegetation coverage. As the climate became more humid, only 14.2 % of the clear-sky LST data were available (Poyang Lake Basin). The clear-sky biases of LST variation at the sites resulted in a significant reduction in the accuracy of monthly ET, with an increase in the relative error (RE) of approximately 16.6 %. The impact of clouds can be reduced by at most half by the introduction of all-sky LST products, with a significant decline (6.3 % similar to 34.2 % of ET) in the error contribution of LST to monthly ET. The variation in vegetation coverage of land cover and the change in humidity of the climate significantly affected the influence of the clear-sky biases of LST on the ET estimation and the error contribution to ET. Replacing all-sky LST with clear-sky LST in areas with less vegetation coverage exacerbates the underestimation of ET estimation and strengthens the error contribution of LST with the decline in RE (error contribution of LST) from -7.7 % (-6.3 %) in densely vegetated areas to -29.7 % (-34.2 %) in non-vegetated areas, especially in the summer. Similarly, clear-sky biases of LST tended to have a relatively significant impact on the error contributions of LST to monthly ET estimation when the climate became humid, with a relatively significant enlarging from -6.3 % in the arid area to -10.0 % in the humid area, especially in the rainy season in the humid area (-61.3 % of ET). This study contributes to the understanding of the relationship between clear-sky biases and vegetation coverage/humidity. Quantitative analysis of the impact of clear-sky biases of LST on monthly ET estimation will be helpful for improving the accuracy of ET retrieval in the future.
英文关键词	Clear-sky biases Evapotranspiration Land surface temperature Cloud impact Nonparametric method
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001224237800001
WOS关键词	NDVI TIME-SERIES ; ENERGY-BALANCE ; TERRESTRIAL EVAPOTRANSPIRATION ; POTENTIAL EVAPOTRANSPIRATION ; NONPARAMETRIC APPROACH ; MODIS ; RADIATION ; MODEL ; RECONSTRUCTION ; PERFORMANCE
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404193
推荐引用方式 GB/T 7714	Pan, Xin,Wang, Zhanchuan,Liu, Suyi,et al. The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation[J],2024,129.
APA	Pan, Xin.,Wang, Zhanchuan.,Liu, Suyi.,Yang, Zi.,Guluzade, Rufat.,...&Yang, Yingbao.(2024).The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,129.
MLA	Pan, Xin,et al."The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 129(2024).