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	Estimating the Surface Air Temperature by Remote Sensing in Northwest China Using an Improved Advection-Energy Balance for Air Temperature Model
	Liu S. H.; Su, H. B.; Zhang, R. H.; Tian, J.; Wang, W. Z.
	2016
关键词	vapor-pressure avhrr data algorithm fluxes scale site ndvi
英文摘要	To estimate the surface air temperature by remote sensing, the advection-energy balance for the surface air temperature (ADEBAT) model is developed which assumes the surface air temperature is driven by the local driving force and the advective driving force. The local driving force produces a local surface air temperature whereas the advective driving force changes it by adding an exotic air temperature. An advection factor.. is defined to measure the quantity of the exotic air brought by the advection. Since the.. is determined by the advection, this paper improves it to a regional scale by using the Inverse Distance Weighting (IDW) method whereas the original ADEBAT model uses a constant of.. for a block of area. Results retrieved by the improved ADEBAT (IADEBAT) model are evaluated and comparison was made with the in situ measurements, with an R-2 (correlation coefficient) of 0.77, an RMSE (Root Mean Square Error) of 0.31K, and a MAE (Mean Absolute Error) of 0.24K. The evaluation shows that the IADEBAT model has higher accuracy than the original ADEBAT model. Evaluations together with a t-test of the MAD (Mean Absolute Deviation) reveal that the IADEBAT model has a significant improvement.
出处	Advances in Meteorology
语种	英语
ISSN号	1687-9309
DOI标识	10.1155/2016/4294219
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43091]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Liu S. H.,Su, H. B.,Zhang, R. H.,et al. Estimating the Surface Air Temperature by Remote Sensing in Northwest China Using an Improved Advection-Energy Balance for Air Temperature Model. 2016.

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