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题名: Two Ultraviolet Radiation Datasets that Cover China
作者: Liu, Hui1, 2; Hu, Bo1; Wang, Yuesi1; Liu, Guangren1; Tang, Liqin3; Ji, Dongsheng1; Bai, Yongfei4; Bao, Weikai5; Chen, Xin6; Chen, Yunming7; Ding, Weixin8; Han, Xiaozeng9; He, Fei10; Huang, Hui11; Huang, Zhenying4; Li, Xinrong12; Li, Yan14; Liu, Wenzhao7; Lin, Luxiang13; Ouyang, Zhu15; Qin, Boqiang16; Shen, Weijun17; Shen, Yanjun18; Su, Hongxin4; Song, Changchun9; Sun, Bo8; Sun, Song19; Wang, Anzhi6; Wang, Genxu20; Wang, Huimin15; Wang, Silong6; Wang, Youshao11; Wei, Wenxue10; Xie, Ping21; Xie, Zongqiang4; Yan, Xiaoyuan8; Zeng, Fanjiang14; Zhang, Fawei22; Zhang, Yangjian15; Zhang, Yiping13; Zhao, Chengyi14; Zhao, Wenzhi12; Zhao, Xueyong12; Zhou, Guoyi17; Zhu, Bo20
刊名: ADVANCES IN ATMOSPHERIC SCIENCES
出版日期: 2017-07-01
卷号: 34, 期号:7, 页码:805-815
关键词: ultraviolet radiation ; observation ; hybrid model ; reconstruction ; China
DOI: 10.1007/s00376-017-6293-1
文章类型: 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.
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Meteorology & Atmospheric Sciences
研究领域[WOS]: Meteorology & Atmospheric Sciences
关键词[WOS]: GLOBAL SOLAR-RADIATION ; LONG-TERM CHANGES ; TOTAL OZONE ; UV ; MODEL ; IRRADIANCE ; CLIMATE ; NM
收录类别: SCI
语种: 英语
WOS记录号: WOS:000403043700001
Citation statistics:
内容类型: 期刊论文
URI标识: http://210.75.249.4/handle/363003/7024
Appears in Collections:中国科学院西北高原生物研究所_期刊论文

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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
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