Evaluation of Multi-Reanalysis Solar Radiation Products Using Global Surface Observations
Evaluation of Multi-Reanalysis Solar Radiation Products Using Global Surface Observations
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使用全球表面观测评估多重再分析太阳辐射产品
DOI：
10.3390/atmos10020042
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发表时间：
2019-01
期刊：
影响因子：
2.9
通讯作者：
Yang Li
中科院分区：
文献类型：
--
作者：
Xiaomin Peng;Jiangfeng She;Shuhua Zhang;Junzhong Tan;Yang Li
入射到地球表面的太阳辐射是大气与地表之间能量交换的重要驱动力，也是地表生态水文过程研究的重要输入变量。再分析太阳辐射数据集具有时间序列长、空间覆盖广的特点，可用于大尺度生态水文过程的研究。由于太阳辐射再分析产品在生产过程中存在一定的误差，再分析产品在使用前应进行评估。利用2000 - 2009年中国气象局国家气象信息中心（CMA，中国北京）和全球能量平衡档案（GEBA，瑞士苏黎世）的地面太阳辐射观测资料，对不同时间尺度和气候带的三种全球太阳辐射再分析产品（ERA-Interim、JRA-55和NCEP-DOE）进行了评估。所有再分析产品（ERA-Interim; JRA-55;和NCEP-DOE）高估，年偏差为14.86 W/m2、22.61 W/m2和31.85 W/m2;月偏差为15.17 W/m2、21.29 W/m2和36.91 W/m2;季节性偏差分别为15.08W/m2、21.21W/m2和36.69W/m2。在不同的柯本气候区，ERA-Interim的年太阳辐射在寒冷地区表现最好，偏差为10.30 W/m2，绝对相对误差（ARE）为8.98%。然而，JRA-55和NCEP-DOE在热带地区表现最好，偏差分别为20.08 W/m2和-0.12 W/m2，ARE分别为11.00%和9.68%。总体而言，通过不同时间和空间尺度的评价，三个再分析产品的排名依次为ERA-Interim、JRA-55和NCEP-DOE。在此基础上，分析了影响太阳辐射的云量、气溶胶和水汽与再分析产品误差的关系，发现云量是造成三种太阳辐射再分析产品误差的主要原因。为三种太阳辐射再分析产品的推广应用提供参考。
Solar radiation incident at the Earth’s surface is an essential driver of the energy exchange between the atmosphere and the surface and is also an important input variable in the research on the surface eco-hydrological process. The reanalysis solar radiation dataset is characterized by a long time series and wide spatial coverage and is used in the research of large-scale eco-hydrological processes. Due to certain errors in their production process of the reanalysis of solar radiation products, reanalysis products should be evaluated before application. In this study, three global solar-radiation reanalysis products (ERA-Interim; JRA-55; and NCEP-DOE) in different temporal scales and climate zones were evaluated using surface solar-radiation observations from the National Meteorological Information Center of the China Meteorological Administration (CMA, Beijing, China) and the Global Energy Balance Archive (GEBA, Zürich, Switzerland) from 2000 to 2009. All reanalysis products (ERA-Interim; JRA-55; and NCEP-DOE) overestimated with an annual bias of 14.86 W/m2, 22.61 W/m2, and 31.85 W/m2; monthly bias of 15.17 W/m2, 21.29 W/m2, and 36.91 W/m2; and seasonal bias of 15.08 W/m2, 21.21 W/m2, and 36.69 W/m2, respectively. In different Köppen climate zones, the annual solar radiation of ERA-Interim performed best in cold regions with a bias of 10.30 W/m2 and absolute relative error (ARE) of 8.98%. However, JRA-55 and NCEP-DOE showed the best performance in tropical regions with a bias of 20.08 W/m2 and −0.12 W/m2, and ARE of 11.00% and 9.68%, respectively. Overall, through the evaluations across different temporal and spatial scales, the rank of the three reanalysis products in order was the ERA-Interim, JRA-55, and NCEP-DOE. In addition, based on the evaluation, we analyzed the relationship between the error (ARE) of the reanalysis products and cloud cover, aerosol, and water vapor, which significantly influences solar radiation and we found that cloud was the main cause for errors in the three solar radiation reanalysis products. The above can provide a reference for the application and downscaling of the three solar radiation reanalysis products.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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影响因子：
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作者：
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通讯作者：
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