中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect

文献类型:期刊论文

作者Xu, Fubao1,2; Fan, Jianrong2; Yang, Chao1,2; Liu, Jiali1,2; Zhang, Xiyu2
刊名ATMOSPHERIC RESEARCH
出版日期2022-12-01
卷号279页码:16
关键词Land surface temperature (LST) Cloud radiation effect XGBoost Passive microwave Tibetan Plateau (TP)
ISSN号0169-8095
DOI10.1016/j.atmosres.2022.106397
英文摘要

Land surface temperature (LST) has been used in many applications as its strong relationships with land surface processes. However, the greatest limitation of the use of LST is the missing data caused by cloud contamination and weather conditions. In this study, we first used the XGBoost method to describe complex relationships of LST with surface characteristics from clear-sky pixels, and applied the model to retrieve hypothetical clear-sky LST under cloudy sky. Secondly, cloud radiative effect (CRE) on the LST was calculated based on energy balance using the reanalysis data. The models were applied to reconstruct the all-weather LST over the Tibetan Plateau (TP). The spatial patterns of reconstructed LST indicated that our model could produce completely spatial -seamless LST and depict the detailed information. The accuracy of the XGBoost LST was validated against the clear-sky MODIS LST (average R2 = 0.92, MAPE = 0.52, RMSE = 2.32 K). The CRE-EB LST was evaluated using data from six in-situ sites from the TP. The validation results were separated into three conditions: clear sky (RMSE = 3.01 K-3.52 K, R2 = 0.88-0.93, bias =-1.08 K-1.88 K), cloudy sky (RMSE = 3.31 K-4.06 K, R2 = 0.87-0.92, bias =-0.21 K-1.11 K), and overall (RMSE = 3.31 K-3.82 K, R2 = 0.88-0.93, bias =-0.42 K-1.24 K). Compared to existing all-weather LST datasets, the temporal variability of our LST data shows similar seasonal and daily changes, and the CRE-EB LST has advantages in terms of image quality and accuracies under cloudy condition. This study demonstrated the utility of proposed models to reconstruct all-weather LST.

WOS关键词FRACTIONAL VEGETATION COVER ; AMSR-E ; TIBETAN PLATEAU ; RESOLUTION ; VALIDATION ; ALGORITHM ; INDEX ; REFINEMENTS ; EMISSIVITY ; DATASET
资助项目Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0603]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000848635700001
出版者ELSEVIER SCIENCE INC
资助机构Second Tibetan Plateau Scientific Expedition and Research Program
源URL[http://ir.imde.ac.cn/handle/131551/56806]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者Fan, Jianrong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Xu, Fubao,Fan, Jianrong,Yang, Chao,et al. Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect[J]. ATMOSPHERIC RESEARCH,2022,279:16.
APA Xu, Fubao,Fan, Jianrong,Yang, Chao,Liu, Jiali,&Zhang, Xiyu.(2022).Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect.ATMOSPHERIC RESEARCH,279,16.
MLA Xu, Fubao,et al."Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect".ATMOSPHERIC RESEARCH 279(2022):16.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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