【摘要】 紫外辐射数据可为农学、生态学、环境科学、材料科学以及人体健康学等多个领域的研究提供数据支撑，对生态系统的演替、气候变化研究、环境影响评估等方面具有重要的应用价值。但由于其观测数据较少，时间尺度简短，所以获得准确且长时间、大范围的紫外辐射数据将为相关研究提供科学的数据支持。因此，本研究基于现有站点观测数据构建适合于全国尺度紫外辐射重构方法，结合长期观测的常规气象数据，获得了长时间、大空间尺度的紫外辐射数据。创建本数据集时，首先根据“混合模型”，重构得到地面总辐射历史数据，然后通过晴空指数等参数建立紫外辐射估算公式，验证其精度后计算出我国705个观测站点的紫外辐射重构数据。本数据集时间范围为2015–2020年。更多还原

【Abstract】 Ultraviolet radiation data can provide data support for many fields such as agriculture, ecology, environmental science, materials science, and human health. They have important application value in ecosystem succession, climate change research and environmental impact assessment. But with so little observational data and a short time scale, obtaining accurate, long-time, and wide range UV radiation data will provide scientific data support for relevant research. Therefore, based on the observation data of existing stations, in this paper, we constructed a method suitable for the reconstruction of ultraviolet radiation at the national scale, and combined with the conventional meteorological data observed for a long time, so as to obtain a dataset of ultraviolet radiation reconstruction. During the production of this dataset, first, we got the historical data of total surface radiation in accordance with the "hybrid model". Then, we created the UV radiation estimation formula by using clear sky index and other parameters. Finally, we calculated the reconstructed UV radiation data of 705 observation stations in China followed by the process of accuracy verification. The time range of this dataset is during 2015–2020.更多还原