A dataset of ultraviolet radiation reconstruction in China during 2015–2020

Tong Wu, H. Liu, Bo Hu, Zirui Liu, Guang-ren Liu
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引用次数: 0

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.
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2015-2020年中国紫外线辐射重建数据集
紫外线辐射数据可以为农业、生态、环境科学、材料科学、人体健康等诸多领域提供数据支持。在生态系统演替、气候变化研究和环境影响评价等方面具有重要的应用价值。但在观测资料少、时间尺度短的情况下,获得准确、长时间、大范围的紫外线辐射数据,将为相关研究提供科学的数据支持。因此,本文在现有台站观测数据的基础上,构建了一种适合于全国范围内紫外线辐射重建的方法,并结合长期观测的常规气象数据,获得紫外线辐射重建数据集。在该数据集的制作过程中,我们首先按照“混合模式”获得了地表总辐射的历史数据。然后,利用晴空指数等参数建立了紫外线辐射估算公式。最后,对中国705个观测站重建的紫外线辐射数据进行了计算,并进行了精度验证。本数据集的时间范围为2015-2020年。
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