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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