Two Ultraviolet Radiation Datasets that Cover China
文献类型:CNKI期刊论文
作者 | Hui LIU![]() |
发表日期 | 2017-07-10 |
出处 | Advances in Atmospheric Sciences
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关键词 | ultraviolet radiation observation hybrid model reconstruction China |
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. |
文献子类 | CNKI期刊论文 |
卷 | v.34期:07页:3-13 |
语种 | 英文; |
分类号 | P422.62 |
ISSN号 | 0256-1530 |
源URL | [http://ir.qdio.ac.cn/handle/337002/189263] ![]() |
专题 | 中国科学院海洋研究所 |
作者单位 | 1.theSouthChinaSeaInstituteofOceanology,ChineseAcademyofSciences 2.theColdandAridRegionsEnvironmentalandEngineeringResearchInstitute,ChineseAcademyofSciences 3.XinjiangInstituteofEcologyandGeography,ChineseAcademyofSciences 4.Xishuangbanna,TropicalBotanicalGarden,ChineseAcademyofSciences 5.theInstituteofGeographicSciencesandNaturalResourcesResearch,ChineseAcademyofSciences 6.theNanjingInstituteofGeographyandLimnology,ChineseAcademyofSciences 7.StateKeyLaboratoryofAtmosphericBoundaryLayerPhysicsandAtmosphericChemistry,InstituteofAtmosphericPhysics,ChineseAcademyofSciences 8.KeyLaboratoryforSemi-AridClimateChange,MinistryofEducation,CollegeofAtmosphericSciences,LanzhouUniversity 9.CollegeofAtmosphericSciences,ChengduUniversityofInformationTechnology 10.theInstituteofBotanyChineseAcademyofSciences |
推荐引用方式 GB/T 7714 | Hui LIU,Bo HU,Yuesi WANG,et al. Two Ultraviolet Radiation Datasets that Cover China. 2017. |
入库方式: OAI收割
来源:海洋研究所
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