Two Ultraviolet Radiation Datasets that Cover China
Liu, Hui13; Hu, Bo; Wang, Yuesi; Liu, Guangren; Tang, Liqin2; Ji, Dongsheng; Bai, Yongfei3; Bao, Weikai21; Chen, Xin20; Chen, Yunming19
刊名ADVANCES IN ATMOSPHERIC SCIENCES
2017
卷号34期号:7页码:805-815
关键词ultraviolet radiation observation hybrid model reconstruction China
ISSN号0256-1530
DOI10.1111/1365-2435.12850
文献子类Article; Data Paper
英文摘要Ultraviolet (UV) radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization's measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2014. The mean absolute bias error and root-mean-square error are smaller than 30% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes.
学科主题Environmental Sciences & Ecology
电子版国际标准刊号1861-9533
出版地BEIJING
WOS关键词GLOBAL SOLAR-RADIATION ; LONG-TERM CHANGES ; TOTAL OZONE ; UV ; MODEL ; IRRADIANCE ; CLIMATE ; NM
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000406977200013
内容类型期刊论文
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/22235]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Beijing, Peoples R China
2.Lanzhou Univ, Coll Atmospher Sci, Key Lab Semiarid Climate Change, Minist Educ, Lanzhou 730000, Peoples R China
3.Chengdu Univ Informat Technol, Coll Atmospher Sci, Chengdu 610225, Peoples R China
4.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Hydrobiol, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Mt Hazards & Environm, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Oceanol, Beijing, Peoples R China
8.Chinese Acad Sci, Inst Genet & Dev Biol, Beijing, Peoples R China
9.Chinese Acad Sci, South China Bot Garden, Beijing, Peoples R China
10.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Liu, Hui,Hu, Bo,Wang, Yuesi,et al. Two Ultraviolet Radiation Datasets that Cover China[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2017,34(7):805-815.
APA Liu, Hui.,Hu, Bo.,Wang, Yuesi.,Liu, Guangren.,Tang, Liqin.,...&Zhu, Bo.(2017).Two Ultraviolet Radiation Datasets that Cover China.ADVANCES IN ATMOSPHERIC SCIENCES,34(7),805-815.
MLA Liu, Hui,et al."Two Ultraviolet Radiation Datasets that Cover China".ADVANCES IN ATMOSPHERIC SCIENCES 34.7(2017):805-815.
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