气候变化领域集成服务门户(CCPortal): Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks

CCPortal

DOI	10.1109/TGRS.2021.3094321
	Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks
	Zhu, Fuxin; Li, Xin; Qin, Jun; Yang, Kun; Cuo, Lan; Tang, Wenjun; Shen, Chaopeng
通讯作者	Qin, J (通讯作者)
发表日期	2022
ISSN	0196-2892
EISSN	1558-0644
卷号	60
英文摘要	Downward longwave radiation (DLR) at the surface is a key variable of interest in fields, such as hydrology and climate research. However, existing DLR estimation methods and DLR products are still problematic in terms of both accuracy and spatiotemporal resolution. In this article, we propose a deep convolutional neural network (DCNN)-based method to estimate hourly DLR at 5-km spatial resolution from top of atmosphere (TOA) brightness temperature (BT) of the Himawari-8/Advanced Himawari Imager (AHI) thermal channels, combined with near-surface air temperature and dew point temperature of ERA5 and elevation data. Validation results show that the DCNN-based method outperforms popular random forest and multilayer perceptron-based methods and that our proposed scheme integrating multisource data outperforms that only using remote sensing TOA observations or surface meteorological data. Compared with state-of-the-art CERES-SYN and ERA5-land DLR products, the estimated DLR by our proposed DCNN-based method with physical multisource inputs has higher spatiotemporal resolution and accuracy, with correlation coefficient (CC) of 0.95, root-mean-square error (RMSE) of 17.2 W/m(2), and mean bias error (MBE) of -0.8 W/m(2) in the testing period on the Tibetan Plateau.
关键词	SURFACE RADIATION MODIS FLUX PARAMETERIZATIONS VALIDATION SHORTWAVE BIAS LST
英文关键词	Spatial resolution; Estimation; Land surface; Atmospheric modeling; Clouds; Ocean temperature; Temperature distribution; Deep convolutional neural network (DCNN); downward longwave radiation (DLR); Himawari-8; Tibetan Plateau (TP)
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000732791700001
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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/260691
推荐引用方式 GB/T 7714	Zhu, Fuxin,Li, Xin,Qin, Jun,et al. Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks[J]. 中国科学院青藏高原研究所,2022,60.
APA	Zhu, Fuxin.,Li, Xin.,Qin, Jun.,Yang, Kun.,Cuo, Lan.,...&Shen, Chaopeng.(2022).Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60.
MLA	Zhu, Fuxin,et al."Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022).