Abstract
Surface solar radiation (SSR) is a key component of the energy budget of the Earth’s surface, and it varies at different spatial and temporal scales. Considerable knowledge of how and why SSR varies is crucial to a better understanding of climate change, which surely requires long-term measurements of high quality. The objective of this study is to introduce a value-added SSR dataset from Oct 2004 to Oct 2019 based on measurements taken at Xianghe, a suburban site in the North China Plain; two value-added products based on the 1-minute SSR measurements are developed. The first is clear sky detection by using a machine learning model. The second is cloud fraction estimation derived from an effective semi-empirical method. A “brightening” of global horizontal irradiance (GHI) was revealed and found to occur under both clear and cloudy conditions. This could likely be attributed to a reduction in aerosol loading and cloud fraction. This dataset could not only improve our knowledge of the variability and trend of SSR in the North China Plain, but also be beneficial for solar energy assessment and forecasting.
摘要
地表太阳辐射是地球辐射收支中非常重要的一部分. 高质量长时间序列的地表太阳辐射观测有助于气候变化相关的监测与研究. 本研究利用香河站高时间分辨率的地表太阳辐射观测数据, 结合基于机器学习技术的晴空识别算法及云量提取算法, 构建包含晴空识别结果和云量估算结果的长期高质量地表太阳辐射观测数据集. 此外, 基于该数据集, 对香河站 2005-19 年的太阳辐射、 气溶胶和云特征参数的长期变化趋势进行了评估. 结果表明, 研究期间香河站全天空地表太阳总辐射、 直接辐射及散射辐射均呈增加趋势 (分别为 1.32 W m−2 yr-1、 1.8 W m−2 yr-1、 0.096 W m−2 y-1), 气溶胶光学厚度呈降低趋势 (-0.012 yr-1), 气溶胶单次散射反照率呈增加趋势 (-0.0012 yr-1), 云量呈降低趋势 (0.0006 yr-1). 此外, 研究表明, 香河站地表太阳辐射在晴天和云天条件下均呈“变亮”趋势.
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Acknowledgements
The authors thank the entire staff at Xianghe for their valuable work and support, and thank editors and anonymous reviewers for their constructive comments and suggestions. This work was supported by the National Natural Science Foundation of China (Grant Nos. 42030608, 41875183 and 41805021), the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA17040511), the National Key R&D Program of China (Grant No. 2017YFA0603504), the Sichuan Department of Science and Technology (Grant Nos. 2022NSFSC1074, and 2023NSFSC0995), and the Key Grant Project of Science and Technology Innovation Ability Enhancement Program of CUIT (Grant No. KYQN202217).
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Liu, M., Fan, X., Xia, X. et al. Value-Added Products Derived from 15 Years of High-Quality Surface Solar Radiation Measurements at Xianghe, a Suburban Site in the North China Plain. Adv. Atmos. Sci. 40, 1132–1141 (2023). https://doi.org/10.1007/s00376-022-2205-0
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DOI: https://doi.org/10.1007/s00376-022-2205-0