基于深度学习的TRMM降水产品降尺度研究——以中国东北地区为例
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杜方洲, 石玉立, 盛夏
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Research on downscaling of TRMM precipitation products based on deep learning: Exemplified by northeast China
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DU Fangzhou, SHI Yuli, SHENG Xia
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表1 模型参数调整结果
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Tab.1 Model parameter adjustment results
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| | | 训练集 | 测试集 | | /mm | | /mm | 4 | 400 | 150 | 0.866 | 1.402 | 0.850 | 1.423 | 4 | 400 | 200 | 0.868 | 1.229 | 0.863 | 1.341 | 4 | 400 | 250 | 0.874 | 1.221 | 0.869 | 1.310 | 5 | 400 | 150 | 0.900 | 1.109 | 0.891 | 1.146 | 5 | 400 | 200 | 0.911 | 0.995 | 0.901 | 1.054 | 5 | 400 | 250 | 0.899 | 1.098 | 0.893 | 1.152 | 6 | 400 | 150 | 0.889 | 1.173 | 0.885 | 1.261 | 6 | 400 | 200 | 0.915 | 0.947 | 0.894 | 1.079 | 6 | 400 | 250 | 0.898 | 1.097 | 0.892 | 1.149 | … | … | … | … | … | … | … |
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