In this study, we compared four net radiation products: the fifth generation of European Centre for Medium-Range Weather Forecasts atmospheric reanalysis of the global climate (ERA5), National Centers for Environmental Prediction (NCEP), Clouds and the Earth’s Radiant Energy System Energy Balanced and Filled (EBAF), and Global Energy and Water Exchanges (GEWEX), based on ground observation data and intercomparison data. ERA5 showed the highest accuracy, followed by EBAF, GEWEX, and NCEP. When analyzing the validation grid, ERA5 showed the most similar data distribution to ground observation data. Different characteristics were observed between the reanalysis data and satellite data. In the case of satellite-based data, the net radiation value tended to increase at high latitudes. Compared with the reanalysis data, Greenland and the central Arctic appeared to be overestimated. All data were highly correlated, with a difference of 6–21 W/m² among the products examined in this study. Error was attributed mainly to difficulties in predicting long-term climate change and having to combine net radiation data from several sources. This study highlights criteria that may be helpful in selecting data for future climate research models of this region.

中文翻译：

---

北极再分析和基于卫星的地面网辐射数据的特征

在本研究中，我们比较了四种净辐射产品：第五代欧洲中距离天气预报中心对全球气候的大气再分析（ERA5），国家环境预测中心（NCEP），云和地球辐射能系统能量基于地面观测数据和比对数据的平衡与填充（EBAF），以及全球能源和水交换（GEWEX）。ERA5显示最高的准确性，其次是EBAF，GEWEX和NCEP。分析验证网格时，ERA5显示的数据分布与地面观测数据最为相似。重新分析数据和卫星数据之间观察到不同的特征。对于基于卫星的数据，净辐射值在高纬度地区趋于增加。与再分析数据相比，格陵兰岛和北极中部地区似乎被高估了。所有数据高度相关，相差6-21 W / m在这项研究中检查的产品中排名²。错误主要归因于难以预测长期气候变化以及必须合并来自多个来源的净辐射数据。这项研究强调了可能有助于选择该地区未来气候研究模型数据的标准。