气候变化领域集成服务门户(CCPortal): A novel approach combining satellite and in situ observations to estimate the variation of land surface for all conditions

CCPortal

DOI	10.1016/j.srs.2024.100127
	A novel approach combining satellite and in situ observations to estimate the variation of land surface for all conditions
	Inamdar, Anand K.; Leeper, Ronald D.
发表日期	2024
ISSN	2666-0172
起始页码	9
卷号	9
英文摘要	Land surface temperature (LST) and its diurnal variability are key to understanding the land-atmosphere interactions, hydrological processes and climate change. However, at any given point in time approximately half of the Earth 's surface is covered by clouds. This restricts the availability of LST through satellite remote sensing, which works best under clear skies. However, in situ observations continue to monitor atmospheric conditions beneath the clouds that could complement satellite measurements during cloudy conditions. The present study explores a novel approach to estimate hourly LST during the daylight hours using remotely sensed surface solar absorption and in situ observations of daily LST extremes (maximum and minimum) together with an adaptive non -linear fitting approach. A learning algorithm trained against in-situ measurements of LST extrema and diurnal cycle of surface solar absorption together with the associated linear correlation between the two parameters, is used to estimate an optimized set of parameters to approximate hourly LST for each day during the daylight hours between sunrise and sunset. Results show that the method captures the intra-day variability of LST very well under most sky conditions with rms errors below 1.5 K.
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001218225000001
来源期刊	SCIENCE OF REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294248
推荐引用方式 GB/T 7714	Inamdar, Anand K.,Leeper, Ronald D.. A novel approach combining satellite and in situ observations to estimate the variation of land surface for all conditions[J],2024,9.
APA	Inamdar, Anand K.,&Leeper, Ronald D..(2024).A novel approach combining satellite and in situ observations to estimate the variation of land surface for all conditions.SCIENCE OF REMOTE SENSING,9.
MLA	Inamdar, Anand K.,et al."A novel approach combining satellite and in situ observations to estimate the variation of land surface for all conditions".SCIENCE OF REMOTE SENSING 9(2024).