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Two Ultraviolet Radiation Datasets that Cover China

机译:覆盖中国的两个紫外线辐射数据集

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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.
机译:紫外线辐射对生态系统,环境和人类健康以及大气过程和气候变化具有重大影响。本文描述了两个紫外线辐射数据集。一个包含每小时在40个中国生态系统研究网络上观测到的紫外线辐射观测值。从2005年到2015年,我们使用CUV3宽带辐射计观测紫外线辐射,精度达到5%,符合世界气象组织的测量标准。极值法用于控制被测数据集的质量。包含使用全天候估计模型和混合模型计算的每日累积紫外线辐射估计值.1961年至2014年重建的每日紫外线辐射数据重构为,平均绝对偏差误差和均方根误差小于30在大多数站点中,百分比为,大多数平均偏差误差值为负,这表明低估了紫外线辐射强度。电子数据集可以改善我们对紫外线辐射的时空变化的基础知识。此外,这些数据集还可用于研究潜在的臭氧形成和大气氧化以及模拟生态过程。

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