Datasets accompanying 'Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia'
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Datasets required to replicate the experiment described in the paper: 'Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia' This includes NetCDF files used to generate training data and processed climate data for model training, trained models and outputs from model predictions. It also contains the datasets used for comparisons (CORDEX and CMIP6)
本数据集用于复现论文《基于深度卷积自编码器的降尺度研究——以东南亚为例》(Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia)中的实验内容。数据集包含用于生成训练数据的网络通用数据格式(NetCDF)文件、用于模型训练的经预处理气候数据、已训练完成的模型以及模型预测输出结果。此外,本数据集还收录了用于对比验证的数据集(CORDEX 与 CMIP6)
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Zenodo创建时间:
2022-08-12



