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Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau
Rao, YH (Rao, Yuhan)1,2; Liang, SL (Liang, Shunlin)1; Wang, DD (Wang, Dongdong)1; Yu, YY (Yu, Yunyue)3; Song, Z (Song, Zhen)4; Zhou, Y (Zhou, Yuan)1; Shen, MG (Shen, Miaogen)5; Xu, BQ (Xu, Baiqing)5
Source PublicationREMOTE SENSING OF ENVIRONMENT
2019
Volume234Issue:0Pages:111462
DOI10.1016/j.rse.2019.111462
Abstract

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.

Subject AreaEnvironmental Sciences
WOS IDWOS:000500048100005
Language英语
Indexed BySCI
KeywordClimate-change Modis Impacts Dataset Water
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
Cooperation Status国际
ISSN0034-4257
Department环境变化与地表过程重点实验室
URL查看原文
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9054
Collection图书馆
Corresponding AuthorLiang, SL (Liang, Shunlin)
Affiliation1.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA;
2.Univ Maryland, Cooperat Inst Climate & Satellites Maryland, College Pk, MD 20742 USA;
3.NOAA, Ctr Satellite Applicat & Res, NESDIS, College Pk, MD USA;
4.State Grid Econ & Technol Res Inst, Beijing, Peoples R China;
5.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Rao, YH ,Liang, SL ,Wang, DD ,et al. Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau[J]. REMOTE SENSING OF ENVIRONMENT,2019,234(0):111462.
APA Rao, YH .,Liang, SL .,Wang, DD .,Yu, YY .,Song, Z .,...&Xu, BQ .(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(0),111462.
MLA Rao, YH ,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 234.0(2019):111462.
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