气候变化领域集成服务门户(CCPortal): Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau

CCPortal

DOI	10.1016/j.rse.2019.111462
	Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau
	Rao, Yuhan; Liang, Shunlin; Wang, Dongdong; Yu, Yunyue; Song, Zhen; Zhou, Yuan; Shen, Miaogen; Xu, Baiqing
通讯作者	Liang, SL (通讯作者)
发表日期	2019
ISSN	0034-4257
EISSN	1879-0704
卷号	234
英文摘要	The Tibetan Plateau (TP) has experienced rapid warming in recent decades. However, the meteorological stations of the TP are scarce and mostly located at the eastern and southern parts of the TP where the elevation is relatively low, which increases the uncertainty of regional and local climate studies. Recently, the remotely sensed land surface temperature (LST) has been used to estimate the surface air temperature (SAT). However, the thermal infrared based LST is prone to cloud contamination, which limits the availability of the estimated SAT. This study presents a novel all sky model based on the rule-based Cubist regression to estimate all sky daily average SAT using LST, incident solar radiation (ISR), top-of-atmosphere (TOA) albedo and outgoing longwave radiation (OLR). The model is trained using station data of the Chinese Meteorological Administration (CMA) and corresponding satellite products. The output is evaluated using independent station data with the bias of -0.07 degrees C and RMSE of 1.87 degrees C. Additionally, the 25-fold cross validation shows a stable model performance (RMSE: 1.6-2.8 degrees C). Moreover, the all sky Cubist model increases the availability of the estimated SAT by nearly three times. We used the all sky Cubist model to estimate the daily average SAT of the TP for 2002-2016 at 0.05 degrees x 0.05 degrees. We compared our all sky Cubist model estimated daily average SAT with three existing data sets (i.e., GLDAS, CLDAS, and CMFD). Our model estimation shows similar spatial and temporal dynamics with these existing data sets but outperforms them with lower bias and RMSE when benchmarked against the CMA station data. The estimated SAT data could be very useful for regional and local climate studies over the TP. Although the model is developed for the TP, the framework is generic and may be extended to other regions with proper model training using local data.
关键词	CLIMATE-CHANGE MODIS IMPACTS DATASET WATER
英文关键词	Surface air temperature; Land surface temperature; Tibetan Plateau; Radiation; Rule-based cubist regression
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:000500048100005
来源期刊	REMOTE SENSING OF ENVIRONMENT
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259536
推荐引用方式 GB/T 7714	Rao, Yuhan,Liang, Shunlin,Wang, Dongdong,et al. Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2019,234.
APA	Rao, Yuhan.,Liang, Shunlin.,Wang, Dongdong.,Yu, Yunyue.,Song, Zhen.,...&Xu, Baiqing.(2019).Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau.REMOTE SENSING OF ENVIRONMENT,234.
MLA	Rao, Yuhan,et al."Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau".REMOTE SENSING OF ENVIRONMENT 234(2019).