基于机器学习订正ERA5的甘肃省地表太阳辐射时空分布 |
| 吴欣华, 王思晨, 王菲菲, 王天河, 杜源, 陈涛, 牛亮亮, 赵怀宇, 张昊天 |
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Spatiotemporal distribution of surface solar radiation in Gansu Province based on machine learning correction of ERA5 |
| WU Xinhua, WANG Sichen, WANG Feifei, WANG Tianhe, DU Yuan, CHEN Tao, NIU Liangliang, ZHAO Huaiyu, ZHANG Haotian |
| 图2 2022—2024年LGBM订正前后的ERA5地表下行太阳辐射与地面观测值逐日变化(a)及测试集偏差(订正前后的ERA5数据减去地面观测)概率密度分布(b) |
| Fig.2 Daily variations of ERA5 surface downward solar radiation before and after LGBM correction with ground observations during 2022-2024 (a) and probability density distribution of test dataset biases (ERA5 data before and after correction minus ground observations)(b) |
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