Sample data of the CRCM5-LE for applications of the Latent Linear Adjustment autoencoder

This is a sample of the CRCM5-LE (Leduc et al. 2019) for the applications of the Latent Linear Adjustment autoencoder as demonstrated in Heinze-Deml et al., 2020. The sample data set is a subset of the CRCM5-LE. The original data can be accessed at the ClimEx data Access page. <strong>References</strong> Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint Leduc, M., A. Mailhot, A. Frigon, J. Martel, R. Ludwig, G.B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca, 2019: The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5). J. Appl. Meteor. Climatol., 58, 663–693, https://doi.org/10.1175/JAMC-D-18-0021.1.本数据集为CRCM5-LE（Leduc等，2019）的示例子集，用于Heinze-Deml等2020年研究中演示的隐式线性调整自编码器（Latent Linear Adjustment autoencoder）相关应用。本示例数据集是CRCM5-LE的一个子集，原始数据可通过ClimEx数据访问页面获取。 <strong>参考文献</strong> Heinze-Deml C.、Sippel S.、Pendergrass A.G.、Lehner F.与Meinshausen N.，2020：隐式线性调整自编码器：一种用于高分辨率动态降水估算与模拟的新型方法，arXiv预印本 Leduc M.、Mailhot A.、Frigon A.、Martel J.、Ludwig R.、Brietzke G.B.、Giguère M.、Brissette F.、Turcotte R.、Braun M.与Scinocca J.，2019：ClimEx计划：基于加拿大区域气候模式（Canadian Regional Climate Model, CRCM5）生成的、覆盖欧洲与北美东北部的12公里分辨率气候变化投影的50成员集合，《应用气象与气候学杂志》（J. Appl. Meteor. Climatol.），第58卷，663–693页，https://doi.org/10.1175/JAMC-D-18-0021.1.