基于深度学习的闽浙赣GPM降水产品降尺度方法
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李新同, 史岚, 陈多妍
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A deep learning-based study on downscaling of GPM products in Fujian-Zhejiang-Jiangxi area
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LI Xintong, SHI Lan, CHEN Duoyan
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表1 模型调整参数表
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Tab.1 Model adjustment parameter table
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L | N | epochs | 训练集 | 测试集 | R2 | RMSE/ mm | MRE/% | R2 | RMSE/ mm | MRE/% | 4 | 300 | 150 | 0.88 | 1.17 | 14.76 | 0.94 | 1.34 | 14.31 | 4 | 300 | 200 | 0.89 | 0.76 | 71.37 | 0.87 | 0.88 | 62.82 | 4 | 300 | 250 | 0.87 | 0.56 | 89.25 | 0.66 | 0.60 | 83.96 | 5 | 300 | 150 | 0.87 | 1.38 | 18.67 | 0.88 | 1.96 | 16.52 | 5 | 300 | 200 | 0.89 | 0.89 | 30.28 | 0.90 | 0.93 | 34.54 | 5 | 300 | 250 | 0.89 | 0.39 | 33.36 | 0.75 | 0.11 | 32.63 | … | … | … | … | … | … | … | … | … |
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