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 |
DOI | 10.1111/1365-2435.12850 |
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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