Knowledge Management System Of Institute Of Botany,CAS
| Two Ultraviolet Radiation Datasets that Cover China | |
Liu, Hui1; Hu, Bo; Wang, Yuesi; Liu, Guangren; Tang, Liqin2; Ji, Dongsheng; Bai, Yongfei3 ; Bao, Weikai4; Chen, Xin5; Chen, Yunming6; Ding, Weixin7; Han, Xiaozeng8; He, Fei9; Huang, Hui10; Huang, Zhenying3; Li, Xinrong11; Li, Yan13; Liu, Wenzhao6; Lin, Luxiang12; Ouyang, Zhu14; Qin, Boqiang15; Shen, Weijun16; Shen, Yanjun17; Su, Hongxin3; Song, Changchun8; Sun, Bo7; Sun, Song18; Wang, Anzhi5; Wang, Genxu19; Wang, Huimin14; Wang, Silong5; Wang, Youshao10; Wei, Wenxue9; Xie, Ping20; Xie, Zongqiang3; Yan, Xiaoyuan7; Zeng, Fanjiang13; Zhang, Fawei21; Zhang, Yangjian14; Zhang, Yiping12; Zhao, Chengyi13; Zhao, Wenzhi11; Zhao, Xueyong11; Zhou, Guoyi16; Zhu, Bo19
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| 2017 | |
| 发表期刊 | ADVANCES IN ATMOSPHERIC SCIENCES
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| ISSN | 0256-1530 |
| 卷号 | 34期号:7页码:805-815 |
| 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. |
| 关键词 | ultraviolet radiation observation hybrid model reconstruction China |
| 学科领域 | Environmental Sciences & Ecology |
| DOI | 10.1111/1365-2435.12850 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS关键词 | GLOBAL SOLAR-RADIATION ; LONG-TERM CHANGES ; TOTAL OZONE ; UV ; MODEL ; IRRADIANCE ; CLIMATE ; NM |
| WOS记录号 | WOS:000406977200013 |
| 出版者 | SCIENCE PRESS |
| 文献子类 | Article; Data Paper |
| 出版地 | BEIJING |
| EISSN | 1861-9533 |
| 作者邮箱 | hub@post.iap.ac.cn |
| 作品OA属性 | Bronze, Green Accepted |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | 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, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, 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, Inst Bot, Beijing, Peoples R China 5.Chinese Acad Sci, Chengdu Inst Biol, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Appl Ecol, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Soil & Water Conservat, Beijing, Peoples R China 8.Chinese Acad Sci, Inst Soil Sci, Beijing, Peoples R China 9.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Beijing, Peoples R China 10.Chinese Acad Sci, Inst Subtrop Agr, Beijing, Peoples R China 11.Chinese Acad Sci, South China Sea Inst Oceanol, Beijing, Peoples R China 12.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Beijing, Peoples R China 13.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Beijing, Peoples R China 14.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Beijing, Peoples R China 15.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 16.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Beijing, Peoples R China 17.Chinese Acad Sci, South China Bot Garden, Beijing, Peoples R China 18.Chinese Acad Sci, Inst Genet & Dev Biol, Beijing, Peoples R China 19.Chinese Acad Sci, Inst Oceanol, Beijing, Peoples R China 20.Chinese Acad Sci, Inst Mt Hazards & Environm, Beijing, Peoples R China 21.Chinese Acad Sci, Inst Hydrobiol, Beijing, Peoples R China 22.Chinese Acad Sci, Northwest Inst Plateau Biol, 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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| Zhang-2017-Mowing ex（1980KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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