Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework

doi:10.1029/2019EA001058

CORC > 地球环境研究所 > 中国科学院地球环境研究所 > 黄土与第四纪地质国家重点实验室（2010~）

	Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework
	Zeng, Zhaoliang 13; Wang, Zemin 13; Gui, Ke 1; Yan, Xiaoyu 2; Gao, Meng 11; Luo, Ming 8,9,10; Geng, Hong 7; Liao, Tingting 6; Li, Xiao 5; An, Jiachun 1
刊名	EARTH AND SPACE SCIENCE
	2020-02-01
卷号	7 期号:2 页码:15
DOI	10.1029/2019EA001058
通讯作者	Wang, Zemin(zmwang@whu.edu.cn) ; Yang, Yuanjian(yyj1985@nuist.edu.cn)
英文摘要	Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and utilizing solar energy, one of the fastest-growing and most important clean and renewable resources. Based on observations from 2,379 meteorological stations along with scare solar radiation observations, the random forest (RF) model is employed to construct a high-density network of daily global solar radiation (DGSR) and its spatiotemporal variations in China. The RF-estimated DGSR is in good agreement with site observations across China, with an overall correlation coefficient (R) of 0.95, root-mean-square error of 2.34 MJ/m(2), and mean bias of -0.04 MJ/m(2). The geographical distributions of R values, root-mean-square error, and mean bias values indicate that the RF model has high predictive performance in estimating DGSR under different climatic and geographic conditions across China. The RF model further reveals that daily sunshine duration, daily maximum land surface temperature, and day of year play dominant roles in determining DGSR across China. In addition, compared with other models, the RF model exhibits a more accurate estimation performance for DGSR. Using the RF model framework at the national scale allows the establishment of a high-resolution DGSR network, which can not only be used to effectively evaluate the long-term change in solar radiation but also serve as a potential resource to rationally and continually utilize solar energy.
资助项目	National Natural Science Foundation of China[41776195] ; National Natural Science Foundation of China[41531069] ; National Natural Science Foundation of China[41871029] ; open funding of State Key Laboratory of Loess and Quaternary Geology[SKLLQG1842]
WOS关键词	PHOTOSYNTHETICALLY ACTIVE RADIATION ; AIR-POLLUTION ; IRRADIANCE FORECASTS ; PREDICTION ; SATELLITE ; SUNSHINE ; TEMPERATURE ; PRODUCTS
WOS研究方向	Astronomy & Astrophysics ; Geology
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000529236000017
资助机构	National Natural Science Foundation of China ; open funding of State Key Laboratory of Loess and Quaternary Geology
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/14751]
专题	地球环境研究所_黄土与第四纪地质国家重点实验室（2010~）
通讯作者	Wang, Zemin; Yang, Yuanjian
作者单位	1.Chinese Acad Meteorol Sci, Inst Atmospher Composit, CMA, Beijing, Peoples R China 2.Univ Exeter, Environm & Sustainabil Inst, Penryn, England 3.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing, Peoples R China 4.CMA, Natl Meteorol Ctr, Beijing, Peoples R China 5.CPI Power Engn Co LTD, Shanghai, Peoples R China 6.Chengdu Univ Informat Technol, Coll Atmospher Sci, Plateau Atmospher & Environm Lab Sichuan Prov, Chengdu, Peoples R China 7.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China 8.Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Peoples R China 9.Sun Yat Sen Univ, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Peoples R China 10.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China
推荐引用方式 GB/T 7714	Zeng, Zhaoliang,Wang, Zemin,Gui, Ke,et al. Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework[J]. EARTH AND SPACE SCIENCE,2020,7(2):15.
APA	Zeng, Zhaoliang.,Wang, Zemin.,Gui, Ke.,Yan, Xiaoyu.,Gao, Meng.,...&Yang, Yuanjian.(2020).Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework.EARTH AND SPACE SCIENCE,7(2),15.
MLA	Zeng, Zhaoliang,et al."Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework".EARTH AND SPACE SCIENCE 7.2(2020):15.